hackathon_id int64 1.57k 23.4k | project_link stringlengths 30 96 | full_desc stringlengths 1 547k ⌀ | title stringlengths 1 60 ⌀ | brief_desc stringlengths 1 200 ⌀ | team_members stringlengths 2 870 | prize stringlengths 2 792 | tags stringlengths 2 4.47k | __index_level_0__ int64 0 695 |
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10,289 | https://devpost.com/software/std-pi | our life
the free of advice for students
c program and API
definitely is face it
Accomplishments that I'm proud of
students life
app development
Built With
c | Std pi | Help of guidance students | ['ARUNPANDIYAN A'] | [] | ['c'] | 2 |
10,289 | https://devpost.com/software/virustrac | Inspiration
When we learned that 6.15 million people in the world have contracted the novel Covid-19 disease and 374,000 people have died of Covid-19, we were shocked. Even though so many people are getting infected, many people still do not follow the social distancing rules or wear face masks in public places, and this is not just a concern of mine, but for many other people also. This very clearly causes more community spread and leads to more Covid-19 cases, we wanted to help people from being infected from the Covid-19 through an online platform that would control and display is places were following social distancing guidelines.
What it does
Our website, Contrac, has two main components: an accurate database of crowdsourced information about public locations following or not following Covid-19 safety rules and the ability for users to tag and leave reviews about locations. An immunocompromised user can view flagged locations to be informed about the safety standards each location maintains. Part of our first steps was building a website and creating app mock-ups.
How we built it
We built this website using HTML, JavaScript, php, and CSS. We also used an UI toolkit from CreativeTim. In addition, we also incorporated google maps api. This website is meant to be an extension of our mobile app. Since we could not complete the mobile app, this website that we started working on this morning contains a prototype of what we would build in the future. To understand what the mobile app would look like, we made a Canva mock-up. Here is the li
link
and attached is our business plan.
Challenges we ran into
When we were building our website, we ran into several issues from setting up a webserver, connecting it to a database and integrating with Google Maps API . Writing JavaScript functions (in the sign-up page for example) was tricky since we were not too familiar with it. This was the first time we used PHP, and used W3 school's blog and other online resources to understand how to code.
Accomplishments that we are proud of
We are proud of developing a solution for consumers to safely visit a location knowing it is safe to go. We are also proud of ourselves for creating a website in little time and for helping people from being exposed to an infectious disease. Over the past week, we surveyed over 50 friends and family to confirm the need for an app like Contrac. The survey validated the problem of not having access to data regarding Covid-19 safety at public locations. We also developed mobile app mock-ups to visually represent how our mobile app would look like and work. Validating the user needs, developing the mocks and building a somewhat functional website were the most important steps to build our app.
What we learned
We learned how to use PHP and Google Maps API within HTML. Also, we learned how to use Canva for building UI mocks which we enjoyed. When we first started this competition, we thought we could not finish, but we did it. Doing this competition helped me believe in our teamwork.
What's next for Contrac
For the app development, we plan to use Swift and Xcode and will start development from next week.For the website as well as the mobile app, we plan to add more logic that determines if a location tagged as COVID-19 safe is indeed true. We will do so by aggregating reviews by multiple users in a given timeframe. We also would like to share this information with city councils so they can enforce more adherence to COVID-19 safety guidelines. In the future, we want to include a leaderboard that showcases and highlights users of Contrac that are very active and provide the most valuable feedback.
We are competing for best community and health hacks.
Built With
creativetim
css3
google-maps
html5
mysql
php5
Try it out
github.com | VirusTrac | Crowdsourcing to save lives | ['Ad J'] | [] | ['creativetim', 'css3', 'google-maps', 'html5', 'mysql', 'php5'] | 3 |
10,289 | https://devpost.com/software/contrac-kx0i4e | Inspiration
When we learned that 6.15 million people in the world have contracted the novel Covid-19 disease and 374,000 people have died of Covid-19, we were shocked. Even though so many people are getting infected, many people still do not follow the social distancing rules or wear face masks in public places, and this is not just a concern of mine, but for many other people also. This very clearly causes more community spread and leads to more Covid-19 cases, we wanted to help people from being infected from the Covid-19 through an online platform that would control and display is places were following social distancing guidelines.
What it does
Our website, Contrac, has two main components: an accurate database of crowdsourced information about public locations following or not following Covid-19 safety rules and the ability for users to tag and leave reviews about locations. An immunocompromised user can view flagged locations to be informed about the safety standards each location maintains. Part of our first steps was building a website and creating app mock-ups.
How we built it
We built this website using HTML, JavaScript, php, and CSS. We also used an UI toolkit from CreativeTim. In addition, we also incorporated google maps api. This website is meant to be an extension of our mobile app. Since we could not complete the mobile app, this website that we started working on this morning contains a prototype of what we would build in the future. To understand what the mobile app would look like, we made a Canva mock-up. Here is the li
link
and attached is our business plan.
Challenges we ran into
When we were building our website, we ran into several issues from setting up a webserver, connecting it to a database and integrating with Google Maps API . Writing JavaScript functions (in the sign-up page for example) was tricky since we were not too familiar with it. This was the first time we used PHP, and used W3 school's blog and other online resources to understand how to code.
Accomplishments that we are proud of
We are proud of developing a solution for consumers to safely visit a location knowing it is safe to go. We are also proud of ourselves for creating a website in little time and for helping people from being exposed to an infectious disease. Over the past week, we surveyed over 50 friends and family to confirm the need for an app like Contrac. The survey validated the problem of not having access to data regarding Covid-19 safety at public locations. We also developed mobile app mock-ups to visually represent how our mobile app would look like and work. Validating the user needs, developing the mocks and building a somewhat functional website were the most important steps to build our app.
What we learned
We learned how to use PHP and Google Maps API within HTML. Also, we learned how to use Canva for building UI mocks which we enjoyed. When we first started this competition, we thought we could not finish, but we did it. Doing this competition helped me believe in our teamwork.
What's next for Contrac
For the app development, we plan to use Swift and Xcode and will start development from next week.For the website as well as the mobile app, we plan to add more logic that determines if a location tagged as COVID-19 safe is indeed true. We will do so by aggregating reviews by multiple users in a given timeframe. We also would like to share this information with city councils so they can enforce more adherence to COVID-19 safety guidelines. In the future, we want to include a leaderboard that showcases and highlights users of Contrac that are very active and provide the most valuable feedback.
We are competing for best community and health hacks.
Built With
creativetim
css
google-maps
html5
mysql
php
Try it out
github.com | revDo not kook at this one | rverv | ['Ad J'] | [] | ['creativetim', 'css', 'google-maps', 'html5', 'mysql', 'php'] | 4 |
10,289 | https://devpost.com/software/covid-scope | Inspiration
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for Covid-Scope
We were really inspired by the learning opportunity that SigmaHacks provided us! We had the opportunity to work on a developing and global situation which could have a huge impact on the number of people infected by the virus. As the U.S is reaching a shocking 4 million cases, more and more people are desperate to get tested so keeping these crowded testing sites crowd-free will be critical. The number of hospital beds in the U.S are substantially less than the number of people infected by the virus; it is important for the healthcare workers to pay more attention towards those vulnerable to the virus.
We learned how to work efficiently and effectively as we had a lot of ideas but not a lot of time. It was important to devote more of our time on the features which make our app unique rather than on the features which are already released to the public. We also had the opportunity to write Machine Learning code - our first time!
We started off by spending the first 3 hours finalizing our idea and ensuring that we had a complete plan. After that, we started with the app display and the prototypes. We then wrote the code which decided the most efficient testing site for the user. Lastly, we created data by hand to input and train the computer. We experimented with Logistic Regression Models as well as the Random Forest model.
There were many challenges we faced throughout the project. We had so many ideas but we did not exactly know how to concisely put it all in an app. We also faced the challenge of figuring out which components to work on first and which components we should work on later on. Thank you for giving us this opportunity and we look forward to participating in more Hackathons!
(More details in the link to the slideshow provided below)
Built With
numpy
pandas
python
sklearn
Try it out
github.com
docs.google.com | Covid-Scope | Covid-Scope is an app that eases the process of finding COVID-19 testing sites by allowing users to sign up for time slots in advance and leverages Machine Learning to advise users. | ['atalwar98', 'jayanttalwar713 Talwar'] | [] | ['numpy', 'pandas', 'python', 'sklearn'] | 5 |
10,289 | https://devpost.com/software/instant-chats-7o32ul | home page
login signup
video calling
Inspiration
Various organisations are struggling to work together due to work from home norms. Also family relations were being affected due to Covid19.
What it does
It bridges the communication gap that occured in the community due to the pandemic through chat/call/video-call.
How we built it
We used HTML CSS JS for Frontend and PHP MYSQL APIs for back-end. Python JS For Chatbot.
Challenges we ran into
As our team members were working remotely we were unable to help each other out efficiently. Also we had some problem while setting up video call feature.
Accomplishments that we're proud of
Video-call/Voice-call/Attractive UI/Instant Chats
What we learned
We learned the concepts of communication and network engineering.
What's next for instant CHATS
We'll upgrade our databases to more efficient hosting service.
Built With
css3
html5
javascript
mysql
php
python
Try it out
instantchat.epizy.com | instant CHATS | We are aiming for a messaging app where a person can use both his personal and officework. He can message videocall and fileshare. an office can setup their own group where every member can fileshare. | ['Prakash Rajpurohit', 'Amit Singh', 'Shubham Nagpal'] | [] | ['css3', 'html5', 'javascript', 'mysql', 'php', 'python'] | 6 |
10,289 | https://devpost.com/software/covid19-bedchecker-mfhlv2 | landing page
signup
portal
Inspiration
We felt the difficulty covid19 patients face as they have to visit to hospital to check whether any bed is vacant in the hospital, if there's nil then the patient has to reach another hospital which creates problem for patients as well as hospital staffs.
What it does
Our web application allows hospital management to directly feed number of beds available and it is being added dynamically into the map. Patient can access this map to see the availabilty of beds in his/her region as well as get directions to the hospital.
How we built it
We used Bootstrap for front end and php for backend and ms-sql for database. We used python and jquery for chatbot. We used pandas streamlit for creating maps and displaying values.
Challenges we ran into
Hosting our data science web app was a bit tedious for ous.
Accomplishments that we're proud of
User can zoom in till he/she sees every streets and the hospital name and number of beds available and availabilty of ventilators.
What we learned
We learned new python libraries that we are looking forward to implement in future as well.
What's next for Covid19 BedChecker
Tying up with hospitals to get real time data, instead of a data set.
Built With
chatbot
css
html
jquery
pandas
php
sql
streamlit
Try it out
github.com
apexxcovid19999-com.stackstaging.com | Covid19 BedChecker | Through our web app a patient can check the availabilty of number of beds availabe for covid patients along with exact location and can filter out the hospitals containing ventilator options. | ['Amit Singh', 'PRAKASH SINGH'] | [] | ['chatbot', 'css', 'html', 'jquery', 'pandas', 'php', 'sql', 'streamlit'] | 7 |
10,289 | https://devpost.com/software/learnvisor | INSPIRATION
Across all schools in the United States, the average counselor to student ratio is a striking 1 to 464 (
schoolcounselors.org
). With there not being enough counselors to accommodate for the large number of students at each school, it is common for high school students to have trouble receiving assistance from their school counselors. As high school students ourselves, this phenomenon is something we’ve directly experienced a multitude of times. Not only that, the recent COVID-19 pandemic has only served to exacerbate the situation as physical meetups and conversations become impossible. To combat this problem, our team developed Learnvisor, a website that provides counseling services and other assistance to high school students.
WHAT IT DOES
Learnvisor was created to assist high schoolers plan ahead for the future, serving a role similar to that of a counselor. It has an abundance of helpful features, such as a course guidance tool, an email drafter, and a calendar students can add to their own Gmail account. The course guidance tool takes in a student’s course history and returns feedback by recommending possible courses to take next and suggesting viable college tracks. It does this through an algorithm based on two factors: the student’s academic preferences and performance. On the other hand, the email drafter feature generates formal emails addressed to counselors regarding transcripts, schedule modifications, letters of recommendation, and more to streamline emailing for students. Lastly, Learnvisor also offers numerous valuable resources along with a calendar in a centralized location to aid students in the grueling college application process.
HOW WE BUILT IT
Our goal was to make Learnvisor accessible to all high school students at any given moment in time. For this reason, we made Learnvisor a website, so it would be available to anyone with an Internet connection. To code our website, we used the platform Repl.it, which enabled us to work simultaneously on one project. As for Learnvisor itself, the basic structure of our webpage was created with HTML, whereas the interactive features of Learnvisor, such as the email drafter, were accomplished with JavaScript. Lastly, in order to make our website visually appealing to its users, our team used Bootstrap and CSS for layout, colors, fonts, and formatting.
CHALLENGES WE FACED
While developing Learnvisor, we ran into two major challenges: incorporating Bootstrap and producing the interactive portions of the website. Due to our limited experience with Bootstrap and the given time restraint, we were unable to implement as many design elements as we had initially planned. The course guidance tool and email drafter were especially challenging to format due to the sheer number of elements on one page. These two features of our website were not only difficult to format, but were arduous to create as well. Our lack of familiarity with JavaScript merely added on to the plethora of issues we encountered, not to mention our increasing frustration. Another challenge was accommodating for the widely varying schedules of each team member. Each member was available at different times, which presented a large obstacle to collaboration.
ACCOMPLISHMENTS WE’RE PROUD OF
We set our vision on developing a solution for a common problem high schoolers like us encounter on a regular basis. Our main accomplishment was achieving this vision through the successful completion of our website. Other than that, we all take pride in the fact that we were able to persist through the various difficulties that arose throughout the development of our website, and are proud of our growth in web development. The skills we learned along the way will undeniably be incredibly helpful when creating another website in the future.
WHAT WE LEARNED
We learned to use Bootstrap for the very first time during this hackathon. This included importing the Bootstrap CDN, understanding Bootstrap’s grid system, and utilizing Bootstrap’s CSS classes in conjunction with our own CSS code to style the frontend of our website. Not only that, we also improved upon our previous knowledge of JavaScript. A great amount of JavaScript code was required in order to implement key features into our website, and since we were inexperienced with the language, we had to work under pressure to rapidly build upon our JavaScript skills.
WHAT’S NEXT FOR LEARNVISOR
We’re quite proud of all we were able to accomplish in the short amount of time allocated, but we believe that Learnvisor can be improved in various ways. For instance, an account system that automatically saves the courses inputted and continually provides feedback over time would greatly enhance the user experience. Another feature we had in mind building upon the personal accounts was a discussion board forum, where users would be able to interact with other students from their school and receive direct advice from upperclassmen. Overall, we hope to continue updating and maintaining this project so it can truly make a difference for struggling high schoolers.
Built With
bootstrap
css
html
javascript
repl.it
Try it out
github.com
lykimchee.github.io | Learnvisor | Planning your future in High School is difficult. That’s why we’re here to help. | ['Hannah Jang', 'Rhea Jethvani'] | [] | ['bootstrap', 'css', 'html', 'javascript', 'repl.it'] | 8 |
10,289 | https://devpost.com/software/suicidewatch | Suicide Watch
Reddit Network Scanning and AI Analysis
In Depth Review and Positive Feedback
Flagged User Messages
Inspiration
One of our teammate's friends suffered from depression and had suicidal thoughts and many of their feelings were expressed through their Reddit posts.
We did not know until much later until he finally disclosed that to us. Especially in the COVID-19 pandemic, many that suffer from mental instability are able to converse closely with friends. With several problems, such as health issues, employment issues, etc. Where we live, doctors have seen more deaths from suicides than COVID-19 itself during quarantine, according to ABC News.
Facebook and other companies have created algorithms to detect posts with suicidal sentiment. However, these solutions are insufficient because people are not helped well by robots which provide generic advice and resources, and they are less likely to publicize their feelings on social media as opposed to privately speaking to their friends in-person or over text. Support and assistance from a friend instead of robots is far more ideal.
Reddit is a better platform for people to share personal feelings because it has a higher level of anonymity and posts there have a more long-form format.
However, the problem is that humans are unable to accurately detect these cryptic phrases that can be considered “suicidal”, let alone distinguish them from less severe depressive sentiment. Due to quarantine, it is hard for friends to pick up on cues signaling that their friend is struggling. Additionally, early detection is highly important. We filled this critical hole through
AI and ML
, which can find the intricate details and differences in these messages based on comprehensive datasets that take from real posts made by people.
Additionally, especially after the death of a famous Indian actor named Sushant Singh Rajput, we have seen many of his fans, who were living on the edge, follow suit. Finding such depressive posts can help ensure that we know who the most vulnerable or depressive are, so if their idol commits suicide, they don't also. This is why we added an ** emailing feature ** to make sure that people that need to know about this get to know.
What it does
SuicideWatch is a unique progressive web application that allows concerned family and friends to determine whether their struggling loved one is on the path to suicide. The core of our project is a
Natural Language Processing model
(using
Fast.ai
) that classifies a phrase someone says as representing suicidal tendencies, depression, or neither. Users can input a reddit username to get a quick dashboard of all of the data from the user, or they can put both their username and their email to get daily emails for each username they input. This is done by using the Python SMTP API along with mail.com.
Through extensive research, we were able to find a dataset from Medium which
web-scraped Reddit
for thousands of posts from “r/depression", “r/SuicideWatch”, and "r/RandomThoughts". We managed, trained, and improved our model on
Google Colab
. The model was small and portable enough that it could be run on a CPU, so we did not need a seperate server. We deployed our model using localhost, but it could be deployed on heroku.
After our model determines a primary classification, we then feed data into our progression model, which also uses NLP. Psychologist Jesse Bering discovered six stages on the path from depression to suicide, and our model accurately assesses what stage a patient is at and the severity of their depression. We trained this model on metadata specific to COVID, including employment status, health problems, how the person was affected by COVID, and more. During COVID, the progression of these stages happens at a much faster rate, meaning detecting which stage a patient is at is urgent.
Next, our framework allows friends and family to find the best therapists to address their specific needs. Given that COVID has taken away in-person interactions that allow people to see signs, our Python algorithm gives quick and easy recommendations to help struggling people find therapists.
Lastly, we have a support page that allows therapists and patients to post on a forum, similar to a blog, creating a safe community for those who feel lonely and isolated. Since COVID has forced people online, online forums are a way to cope with loneliness and provide a great opportunity for tools to be able to intervene.
How we built it
After numerous hours of wireframing, conceptualizing key features, and outlining tasks, we divided the challenge amongst ourselves by assigning Marty to developing and designing the UI/UX and the backend, Vijay to building the NLP model and adding features to the backend.
We coded the entire app in 4 languages: HTML, CSS, Javascript, and Python(Python3 /iPython). Developing and optimizing our NLP model and creating our Python web app was done through Flask.
Challenges we ran into
The primary challenge that arose for us was training and deploying of our model. When we trained the model, we were dealing with very low levels of accuracy. However, by changing the training rate and changing hyperparameters, we are able to get higher accuracy to ensure that we are not either sending false alarms or ignoring important information.
Accomplishments we are proud of
We are incredibly proud of how our team found a distinctive yet viable solution to those who are struggling with mental instability due to COVID-19. We feel accomplished because of how efficiently we built off our specific research from various sources and applied them in a technological context to build one fully functional product that serves a very important real life purpose. We are extremely proud of developing a solution that has not been previously considered in this setting and putting it into an easy to use form.
What we learned
My partner and I found it incredibly fulfilling to use our Machine Learning knowledge in a way that could effectively assist people struggling with their mental health, especially during such a strenuous time where their existing difficulties are amplified. Seeing how we could use our software engineering skills to impact people who are often ignored and stigmatized in society was the highlight of our work.
From a software perspective, learning NLP was our main focus during this hackathon, as it was our next step in our journey to improve in machine learning. We learned how to effectively build NLP models and deploy them as python web apps using flask. We grew our web development skills and built our nicest UI so far in our application, which comes across to users as very professional.
What is next for SuicideWatch
Since our application is free and all over the web, our project can be scaled and implemented anywhere and with many other programs, such as the National Suicide Prevention Lifeline. Additionally, we aim to integrate SuicideWatch with school systems to allow counselors to help their students, especially when they can't see them from day to day. We also want to collect more data from other forums and possibly find a dataset from more people to improve our classifier.
Built With
css3
html5
javascript
python
Try it out
github.com | SuicideWatch | Detecting Suicidal Thoughts and Depression From Reddit Users | ['Timotheus Weigand', 'Vijay Daita'] | [] | ['css3', 'html5', 'javascript', 'python'] | 9 |
10,289 | https://devpost.com/software/help-the-covid-19-situation-in-your-community | Inspiration
The Canadian government, and almost every country and corporation in the world, encourages us to pull through this pandemic together but they don't give any real way how. In addition, the government only catches on to cases after they check-in into a hospital; meaning it is usually too late and many more are infected.
What it does
This application encourages people to help each other, and try to contain the spread of COVID-19
How I built it
I built an example application with Tkinter in Python.
Challenges I ran into
The main challenge I ran into was what exactly what to put that people can actually use to help each other.
Accomplishments that I'm proud of
I am pretty proud of the ideas I had as I think it is really creative and would really make a difference in how COVID-19 spreads.
What I learned
I learned that now in SK, many teens and people my age are starting to brush off the risk of COVID-19 and going about almost as if nothing was wrong.
What's next for Help the COVID-19 situation in your community
What probably is next is a sort of system that strengthens the protection for people against COVID-19.
Submission Form
My Idea:
My hack is a sort of application that aims at helping the community as a whole get over COVID-19 through
self vigilance and community watch.
There are 4 parts too this application. Each one tied with the other in helping us get through these hard times
The themes of this hack are Social Good and COVID-19.
When people feel the need to report any sort of sighting or warnings, they can press a button and fill a form with as
many details as possible. This is the first tab. Once the form has been submitted, 2 tabs in the application are updated. In one is a map where
circles are placed around the place where the potential hazards have been. the second is a sort of billboard where warnings
and suspected cases are reported.
Potential Impact:
While this application isn't a magical bullet it will definitely have a positive impact by
bringing the community together and strengthen the ties and try to limit the
spread of COVID-19
Implementation:
This hack will simply be implementated like any other application, it will be available on most application stores.
To make the hack more relevent, the government of the user's city/province/state/country should have a presence
on the application to provide faster and more accurate.
The 4 parts of my hack:
There is a second tab where official and confirmed cases are recorded. This tab tries to display as much pertinant information
as possible so people who may have been in close proximity know that they are at risk and should take immediate action.
On the third tab the user will have access to a map. When on the Map tab, you can have the option to view the history of that specific place, where you will have access to old
confirmed and suspected cases so the consumer can make a decision if the area is unsafe.
The application will also generate a risk rating based on recent confirmed/suspected cases along with its history of cases.
Other factors are distance to other high risk area's, average risk of area and type of place and what kind of service they offer
On ther billboard tab, users can see a list of suspected case reportings, confirmed cases and important information concerning
the case. Here the user can toggle certain settings that only show cases in frequently visited places, nearby nieghborhoods, only confirmed and enable pop-up ads.
The fourth and final tab is a sort of global chatroom as mentioned before, here people can talk with others about almost anything. The point of this chatroom
along with its accompanying video and voice chat is to try and relieve a bit of cabin fever for some and voice their concerns during these times and support
eachother.
Built With
python | Help the COVID-19 situation in your community | Application that helps communities get through this together | ['josh UA'] | [] | ['python'] | 10 |
10,289 | https://devpost.com/software/chatcord-chat-website | This is The First Interface
This is the a demo
This is a login interface
I was inspired to make this project when I saw that some children are shying to open open there camera and talk to teacher so I made this project.
It usually connects people on a live chat and they can create different houses and talk to each other
i built ist using html and css and javascript and i tried to connect different server to it thourgh socket.io and node.js .
i was challenged a little on the javascript side but lateri managed it thoroughly.
i was proud when my Dad said it for the first time on this project that well done Aditya .
I Leraned That How To host The website using node.js and socket.io.
Now Next step is to add a name bar or id publisher for the chatcord app.
Built With
css
html
javascript
json
node.js
socket.io | ChatCord Chat Website | My Idea is to make a live chatting platform to interacte with teachers through chatting | ['Aditya Tiwari'] | [] | ['css', 'html', 'javascript', 'json', 'node.js', 'socket.io'] | 11 |
10,289 | https://devpost.com/software/generating-electricity-by-walking-h6aq9n | The primary hardware components used.
A bunch of piezoelectric sensors!
An inside view of the shoe. 17 piezoelectric sensors can be seen in this side. There is an additional 16 sensors on the other side.
The top down view of the shoe (without the styrofoam)
Summary
The average American walks approximately 3,500 steps per day; each step creates mechanical energy, energy which ends up being wasted and dispersed into the environment. Tapping into this wasted energy opens a door for opportunities to supplement the user’s actions. Varying amounts of piezoelectric sensors were used to generate this energy which gets stored in a LiPo battery through the aid of the BQ25570 chip. My design used 33 piezoelectric sensors, which generated, approximately 0.27 volts or 23.625 mAh just after 60 steps. If a user wore this shoe and walked the average amount of steps per day, they would generate 1,378.125 mAh! In addition, I developed an add-on to this project that adds an Arduino Nano with an Accelerometer and Gyroscope sensor. The data from these sensors are run through a neural network that predicts the behavior the user is doing. For example, if the user is jumping it will predict they are jumping.
How I built it
The hardware component of this project has one layer of styrofoam on the top and bottom. This protects the piezoelectric sensors and increases comfort for the user. Then there are two layers of cardboard, each side of the cardboard has 8-9 piezoelectric sensors, connected in series. The two cardboard pieces are connected in parallel. There is then a thin piece of paper between the two cardboard pieces, to make sure no wires short out when they touch each other.
The software uses Keras with TensorFlow. I created a Google Cloud Virtual Machine Instance, which runs a python script that reads in data regarding user's motion and then with Keras and TensorFlow creates a model of the data that can be used for prediction.
Challenges I ran into
Developing the hardware of the shoes took the bulk of my time. I have never used Piezoelectric sensors before, so I had to learn how to use them. In addition, it took me a while to optimize the energy outputted from the shoe. The green BQ25570 chip helped me do that though.
Accomplishments that I'm proud of
This is the world's most efficient shoe that generates electricity! Other solutions mostly use different means to generate electricity. My solution used Piezoelectric sensors, and then the BQ25570 chip to control the flow of electricity from the two capacitors on the chip to the battery. This minimizes the electricity wasted.
What I learned
I learned a lot! In general, I am better at software related projects, this project, being a hardware-first project, increased my skills in dealing with hardware. I got better at soldering, understanding the mathematical calculations of voltage and current, Piezoelectric sensors, Arduinos and various hardware compounds. On the software side, this was my first time using Google Cloud. I am now comfortable in creating complex Virtual Machines in the cloud that can run various advanced scripts.
What's next for Generating Electricity By Walking
I want to add a wifi/Bluetooth chip into the Arduino Nano, this will enable the data from the accelerometer and gyroscope to transfer to a web server in the cloud without the need of a wire. With this advancement, I could develop a mobile/web app that tracks various foot-related fitness activities, including jumping, running and walking.
Built With
google-cloud
keras
piezoelectric
tensor-flow
Try it out
github.com | Generating Electricity By Walking | Generate a lot of electricity just by walking! | ['Tarun Ravi'] | [] | ['google-cloud', 'keras', 'piezoelectric', 'tensor-flow'] | 12 |
10,289 | https://devpost.com/software/save-the-earth-a-clicker-game | Team Name - The Scratchers
Inspiration
I got inspired by many of the clicker games you see online
What it does
You have to save the earth by gaining money, which you use to improve the environment, thus, saving the earth
How I built it
I used the Scratch Programming Engine
Challenges I ran into
Trying to save space on my Scratch project was definitely a challenge
Accomplishments that I'm proud of
These are my first Hackathons and I'm excited to participate in
What I learned
I learned so much about Scratch (this is my first game)
What's next for Save the Earth! (A clicker game)
I might update later if I have time
How to open game
Open a new Scratch Project, click "File", select load from computer, and select the .sb3 file from this project
NOTE: This game is in a .sb3 file so you will have to import the game into a Scratch project to play it. You could also just use the link I put in the "Try it Out" section to play the game
Built With
scratch
Try it out
scratch.mit.edu | Save the Earth! (A clicker game) Team Name - The Scratchers | A retro game to teach kids about environmental safety | [] | ['Best Hacks'] | ['scratch'] | 13 |
10,289 | https://devpost.com/software/grocery-store-automator-ljezip | Inspiration-
Our idea for this project came through personal experiences. We know that during these times our parents have spent countless hours standing in lines, just to be denied access into the store. We checked regularly for times slots, but there were rarely any times available. Our code was aimed to help people know when they could get inside of a store. This lead us to create the Grocery Store Automater (GSA). First, the program opens Google Chrome and goes to the Walmart login. Next, it asks the user how many items they want, and what they want. We previously created an account, and it logins in with the username and password.
How we built it-
To build our code, we first made a plan. We decided on our idea and wrote our Pseudocode. Then we started writing our code. We did each part at a time to make sure our code worked how we wanted it too. Then we tested our code multiple times. Lastly, we discussed any ideas we would want to add to our code to make it better. We also created an email, so our code could log in to Walmart. Once we finished we double-checked our code and made sure everything was running smoothly.
Challenges we ran into.
We also faced some challenges while writing our code. For example, we had to read the documentation a lot. This allowed us to learn more about how selenium works. We also had trouble finding the file path for our code. These problems sometimes stopped our code from running smoothly, but we continued to try and fix the problem.
Accomplishments that we're proud of
We are proud of the code that we made, as a whole, and how it can be implemented by many people who wish to shop online. There were some struggles along the way that we had to go through in order to finish the project. We are proud of our 'try again' morality and the fact that we had kept troubleshooting in order to fix the problem. We are especially proud that this is that first hackathon that we have entered in, and take much pride in the complexity of our work
What we learned
We learned a lot while making this code. We discovered many new classes and functions that we could use in our code. For example, a function we learned was "send_keys." This function helped the computer "type". This function was very useful in our code. This is also our first hackathon. We learned a lot about how a hackathon works, and the process of it. We learned a lot in this hackathon and we believe our code will help many people.
What's next for Grocery Store Automator
We have some ideas to expand the Grocery Store Automater. We thought about putting some extra security features, to help the user with porch pirates and others who are looking to steal the packages that originally belong to the user. We can also expand the usage of the program, by not only adding the products to cart, but also directly buy them.
Built With
chrome
python
selenium
Try it out
github.com | Grocery Store Automator | A quick way to get groceries while staying safe. In this pandemic, people are afraid of getting sick while grocery shopping. Our product will ensure that you stay healthy while buying groceries. | ['Arya Kunisetty', 'Sriya Neti', 'Sriram Natarajan', 'Saahith Veeramaneni'] | [] | ['chrome', 'python', 'selenium'] | 14 |
10,289 | https://devpost.com/software/e-kairos-qltz47 | Inspiration
E-Karios is a AR/VR solution which helps to solve issues with both cultural institutions and education and can be applied to multiple fields, from site heritage to
immersive educational experiences
, E-Karios offers a unique solution to revitalise cultural institution and education in the digital era. The project began on the 25th of July and has been improving since. All content has been created and designed by me within the weekend (25th and 26th).
Last year after a trip abroad, my family and I planned to visit many monuments and landmarks, but due to unforeseen circumstances we were not able to visit the institution. Inaccessibility, from unforeseen circumstances or even renovations, could cause a huge loss of tourism coming at a huge cost for these institutions.
The second issue which I came across was the
damage caused by tourism in certain cultural/historic institutions
, which caused negative effects to the institution physically and financially. Whilst many solutions for virtual museums and tours are available, there is market gap for immersive experiences which allows for user inputs (e.g. Q and A).
A solution which could help provide an immersive experience to act as a hub for information is needed for cultural institutions to provide a more
accessible service
. For many having the opportunity to visit these places can be amazing and possibly change the experience with education.
Ultimately these cultural institutions can make a huge effect on education worldwide, and despite 3D solutions on the market, very few truly offer an immersive feature.
Today, we have seen two problems caused by
COVID-19
which has negatively affected these institiutions, which find it hard to make money and survive without any customers. Moreover, COVID-19 has impacted immersive
education
more than every before, and many look to these cultural institutions for inspiration to help enhance their education. A solution to help
students
to achieved immersive education at home is required.
What it does
E-Karios is a AR/VR solution which helps to solve issues with both cultural institutions and education and can be applied to multiple fields, from site heritage to
immersive educational experiences
, E-Karios offers a unique solution to revitalise cultural institution and education in the digital era. The features are as below:
1) AI-Powered Chatbot Host for the Tour
2) 3D Visualisation
3)Q/A with the virtual host
How I built it
Chatbot
Chatbots were created using Amazon Lex, with around 2-3 questions for each intent, to ensure the chatbot could understand them with a high success rate. I then added responses for each of the instances, providing answers to the different questions. Currently, there are a few available, but this can be added later on.
Greek Temple
For the demo, I created the model using blender where I added a few materials, manipulating planes, cubes and spheres. This took around an hours to make ! The pillars were made using cylinders and edge loops, and extruded inwards.
Sumerian
I brought it all together using Amazon Sumerian, which allowed for the linking of the amazon lex bot to a demo host model. In this case, I had to simply connect the dialogue from Lex through the bot, and create a simple flow between asking the question and responses.
Challenges I ran into
Chatbot
: Parts of the section of Lex included debug errors in the host's speech, to change this I had to change the order of the responses and reduce certain aspects, eventually solving the issue. Additionally, certain phrases were not being picked up hence I was forced to make more questions to train the model. By adding more data, the bot was more responsive and achieved higher fidelity in understanding responses. More can be added !
Importing the Blender model in Sumerian
: The imported model caused huge amounts of errors, with textures not importing properly along with incorrect lighting. As a result, I spent time altering the textures and lighting until the model was similar to the blender model.
Controlling Movement
: Originally, for class-platform use, I added the ability to touch to call the host. However, this made it impossible for the user on a mobile to travel around the model without triggering the chatbot ! To alter this I change the input.
Accomplishments that I'm proud of
First AWS VR/AR Project:
This was my first AWS Sumerian project, and I am still quite new to AWS. Overall, I learned a range of new skills within this hackathon period ! Normally, my speciality is hardware (e.g. arduino projects) but I wanted to move out of my comfort zone, using new skills !
Blender Project:
Normally, I also model using software such as Fusion or Solidworks, for project such as robotics and hardware builds ! However, this project led me to use blender, due to versatility ! Hopefully, I can improve these newfound skills in the future !
Educational Understanding:
Within this hackathon,I learnt about educational immersion and the effects of this form of learning as opposed to reading textbooks and simple images etc. When I tested it out it was clear the impact the immersion made on usability and retention !
What I learned
AWS Lex:
Through trial and error, I was able to learn how to develop an AWS lex chatbot. This led me to learn not only about lex, but understanding how it works (artificial learning) and why it sometimes fails ! This taught me the basic of machine learning, which I would like to explore in future hackathons.
AWS Sumerian:
This was my first project using AWS Sumerian, and the first time I used a software similar to sumerian. Through this I learn a lot about lighting, animations which is really useful for future AWS projects, and also learning software such as Unity (on my to-do list !)
Education Communication:
Communication methods for effective teaching and interactions to boost the impact on learning. First type of project, which looked at education and immersive experiences.
Time Management:
I only had one to two days (even less really) for this submission, and to ensure I made the deadline I practically applied time management skills for an independent project.
Blender:
How to use blender for designing and rendering visuals (i.e/ Greek Temple) and how to export and use in external software (i.e. summerian). I learnt a lot about the features as well as lighting !
What's next for E-Kairos
Further data to streamline AI Chatbot, looking at features involving lambda, external APIs to collect learning info and integrating tests for students !
Possible application using Unity for increased immersion, possibly using different chatbot software (even perhaps making my own from scratch) !
Built With
amazon-web-services
echo | E-Kairos | Immersive Chatbot and 3D Visualisation for Education and Cultural Institute Preservation | [] | ['Education Track', 'Open Water Accelerator Internship'] | ['amazon-web-services', 'echo'] | 15 |
10,289 | https://devpost.com/software/browsr | Logo
Social
Research
Inspiration
Social media has taken an extremely large role in all of our lives, but there are many issue with it, mainly with the way that we consume content. Infinite scrolling, for one, makes it very frictionless for us to keep browsing, and so we end up staying longer on a site even if we aren't getting much benefit anymore. Other sites like facebook will constantly give you different content if you refresh, keeping you reading. These sites also end up becoming an echo chamber either through automatic content recommendations, or through the people that you follow, you only really hear opinions from those that you agree with.
In addition, with misinformation at an all time high, we need to encourage others to research into topics that they're unfamiliar with or want to learn more about. Browser serves as an alternative content delivery platform that seeks to solve these issues.
What it does
You can enter a topic that you're interested in, or choose for a list of trending topics. In this case, the source for posts is Twitter.
As opposed to the traditional infinite scrolling of other social media platforms, Browsr displays posts in pages, which discourages long periods of browsing. In addition, posts for topics are cached, so refreshing will give you the same set of posts (though the website does randomize the order). These posts may then be updated periodically.
To encourage a consumption of a wide range of opinions, posts are labeled with the polarity of each post, and the website curates posts to cover a wide range of opinions in a wide range of sentiments. The level polarity is shown clearly to the user (but which side it's on is hidden) through a red glow, which allows the user to seek out more or less extreme opinions, but prevents the user from picking sides. But, polar comments aren't always valuable to conversation, so Browsr automatically filters out toxic comments.
In addition, to encourage researching, the website makes it as easy as possible by allowing the user to simply select a keyword that they'd like to learn more about and press control+q to add it to their list. They can also press the "plus" button to use the machine learning algorithm to automatically extract the interesting keywords out of a post. They then can enter how much time they have and be presented with a curated list of articles that match their interests.
The website extracts the most valuable information through both traditional heuristics like article length and only using major news sources and machine learning based algorithms like subjective language detection and automatic text summarization.
How I built it
The website is hosted with Python and Flask. Redis was used to task queuing. Tweepy is used to interface with the twitter API, and much of the natural language processing is done through the TextBlob library.
The toxic comment classification is done through a deep learning model called a Bidirectional LSTM. The LSTM was used as it has been shown to be powerful in processing time series data. A bidirectional LSTM processes the text in both a left to right and right to left fashion, giving it a wider range of context. A major part of this deep learning model are the text embeddings. A method is needed to convert the words, which are sparse categorical variables, to dense, less high dimensional vectors. Embeddings train a mapping from the categorical variables to dense vectors. Pretrained embeddings are embeddings that have already been trained on another task, so they already have meaning. The embeddings used in this project is a concatenation of the fasttext crawl vectors and Stanford's GloVe embeddings.
The model was trained on the Jigsaw toxic comment dataset, which contains ~200000 comments.
Challenges I ran into
Building a fluid interface that incorporated all of the backend processing was difficult, so I needed to spend a significant portion of time developing that. The twitter API also has significant limits, especially in terms of rate-limiting.
Accomplishments that I'm proud of
The polarity curation worked much better than I expected. The interface that integrates it also works much more smoothly than I expected.
What I learned
I strengthened my skills in web development, especially in working with the backend processing.
What's next for Browsr
I want to fine tune some of the natural language processing algorithms used in this website.
Built With
flask
keras
python
tensorflow
Try it out
www.browsr.xyz
github.com | Browsr | Encouraging Healthier Social Media Consumption | [] | [] | ['flask', 'keras', 'python', 'tensorflow'] | 16 |
10,289 | https://devpost.com/software/mh-resources-myvacl | Theme Chosen
Social Good. Specifically mental health within teenagers. Alarming mental illness rates are on the rise, and many people struggle to get the support and health they need to get through it. In a time of economic uncertainty, the one thing we have to protect is our physical and mental wellbeing.
We chose a dove flying through a wreath as our logo to represent that love and peace can lead to victory together. Helping one another will help us all forget our problems and think about the future.
Our Idea
To combat the rising cases of mental health within people of all ages, we created a website that supports those who are unable to gain help from others, and to spread awareness about mental health struggles. Every tab addresses mental health differently and is meant to creatively relieve a person's struggles through letting it out, watching other experiences, reading online, etc. Those who access the chat tab to rant are anonymous, to protect their identities. Videos of personal experiences are taken from TED talks and other sources of media where mental health awareness is not common. Mental health panels would also take place, and those who attend can attend anonymously, or be on camera and openly ask questions and share experiences as well.
Implementation
We knew that we wanted to help those who are going through a hard time. To support those who may want short term help, or just want to rant about their day, the website is available for everyone to use. We strategically planned what the layout of the website would be. All the sections and tabs try to address mental health awareness in different ways.
Potential Impact
This website is meant to both support and raise awareness to the public about mental health. Those who are going through a difficult time can confide in the website, and be reminded that they are never alone and there are others who will support them. We hope for this website to be a beacon for people to share their stories, and learn about others. Through it, people can relate with others and share thoughts or journeys that could inspire others to help them get through dark times.
The demo website is still located online, though it is still in progress.
We hope to take this project a step further and release it as a real website for people to use in the future. Mental health is a battle that is never over, but hopefully, a single story can save lives.
Built With
html
imovie
weebly
Try it out
mh-resources.weebly.com | MH Resources | A website with resources to give hope to others who need it and to let them know that this website is always here to help. | ['Claire Tao', 'JASON LUONG'] | [] | ['html', 'imovie', 'weebly'] | 17 |
10,292 | https://devpost.com/software/team-9-ggc | Inspiration
Our idea has been inspired by COVID-19’s robbing children of their extracurriculars, which is what keeps them busy and entertained.
Victoria’s recent COVID-19 spike has influenced our choice of location for our start-up and businesses such as that of Classbento and Eventbrite have inspired our business model.
What it does
Our not-for-profit organisation increases the quality of 4-12 year old childrens’ learning and entertainment, via our calendar tool enabling easy delivery and booking of live, virtual events and extracurriculars based in the South-eastern Melbourne community.
How we built it
We used miro to map out our website functioning, before utilising Wix and Indesign to prototype our website. Canva was used to develop our logo. To create our pitch, capto recorded our website and calendar functionality. Dell voice recorder and an online audio joiner produced the audio script for our pitch, which was placed onto a video made by iMovie.
Challenges we ran into
We often adapted to challenges on-hand, such as not knowing how to complete tasks (such as using Wix) and requiring more than one tool to create our calendar tool (due to Wix’s limited calendar features).
Accomplishments that we're proud of
We’re proud to have completed our project with only 75% of our intended team. Additionally, we’re proud of how we’ve dealt with time pressure and worked cohesively as a team to actualise our start-up goals, which we believe would have a genuinely positive impact on children, their parents and the local community they’re a part of.
What we learned
We’ve established a greater sense of teamwork, organisation and communication skills and learnt more about the pitching process than we’d previously known. We also - due to our pivot in start-up idea - that sometimes, simple ideas are better!
What's next for GGC Team #9 - HEXperts
We’re not sure yet, but the sky is the limit!
Team Contributions
https://docs.google.com/document/d/1IlhcTe_LD5kU8Oi6D0QoQoT9qN3M8DrR5LIPexmKAdM/edit?usp=sharing
Built With
capto
indesign
wix
Try it out
taranicho.wixsite.com | GGC Team #9 - HEXperts | KidCal - a community calendar made with kids in mind, by connecting parents with local businesses producing live, virtual experiences for kids. | ['Tara Nichols', 'Amber Nicholas', 'Pamela Elguezabal'] | ['1st Prize'] | ['capto', 'indesign', 'wix'] | 0 |
10,292 | https://devpost.com/software/team-7-g5sb6a | Inspiration
That the homeless community are one of the most at risk communities, an do not have many means other than face to face communication to gain information, either of critical importance, or on what impacts their day to day life
What it does
It is an app that allows the homeless to see all the resources available to them, from shelters, to COVID testing spots, to cafes that have a pay-it-forward program and let the community leave a comment on the place they go to, to further share accurate up to date information for the homeless community. The app also has the numbers of some services that are helpful for the community, as well as an alert system, that can send through simple language updates on critical situations, such as the COVID restrictions, or sever weather warnings. We would partner with businesses who would be upgrading their work phones or electrical waste collection groups such as Mobile Muster to get the second hand phones to give to those in the homeless community without one.
How we built it
We used Figma to create a prototype that demonstrates the main functions of the app.
Challenges we ran into
We ran into the issue at one stage of thinking that we may be too similar to Ask Izzy, which is a web based directory of homeless resources, however thinking through our product more, and remember the core features, mobile - in your hand use, being able to filter all the options you may want, the alert system, the ability to leave a review, in a way that is specific to the homeless community, and just the simple functionality of the app. This did make us weary, but confidence in our idea and re-enforcing what our key objectives were let us overcome this.
Accomplishments that we're proud of
We are really proud of our idea, and the way we were able to work as a team to really tease out the hows and whys of the idea.
What we learned
We learnt a lot of practical skills, none of us done a similar program before and so this way highly interesting to find out how start ups work and the process it goes through.
What's next for Team 7
We are excited by our idea and have toyed with the idea that this should become something real, not just a team project. Other than that, our members are likely to keep an eye for these sort of programs in the future and hope to have some more fun!
Try it out
www.figma.com | Team 7 - The Royal Koalified Quarterbacks | Walk With U- so nobody walks alone | ['Monique Purcell', 'Abi Carro', 'Rey Lautenschlager', 'Xiyu (Charlotte) Chen'] | ['2nd Prize'] | [] | 1 |
10,292 | https://devpost.com/software/team-21-tourism-hospo | Inspiration
We realized how much the museum and gallery industry has been struggling as a result of the current situation. Although some institutions have began to transition select exhibitions online, these have been 'click-and-move' style, which is fairly robotic and detached from the ordinary gallery/museum experience.
What it does
Xhibit is a centralised platform similar to Netflix, dedicated to art exhibitions and tours. It will connect everyone to institutions all over the world and events covering all categories of art. It provides several viewing options, including live streaming, pre-recorded events and personalised content.
Our process
Brainstorming
- We came up with 3 initial ideas in different industries, and narrowed in on the Art space and the idea of a central platform as it was the most globally expendable.
Lean Canvas draft
- Here we planned out the details of a plausible business model and how we want to connect with our consumers and business partners.
Pivot #1
- We shifted perspective to focus on providing a platform to local independent artists, including music, with an option to donate directly to artist. This was because we heard stories from friends of personal struggles and hoped there was market potential in this area.
Lean Canvas draft 2 and problem statement
- Here we adjusted our lean canvas and defined the problem we are targeting to match Pivot#1.
Pivot #2
- Changed target market to public-funded galleries and museums due to independent artists, especially musicians, already having their own platforms. Additionally, sources of funding could not be clearly identified. With this, we updated our lean canvas and problem statement.
Market research and implementation
- We conducted primary research in the form of a survey to consumers and emails to institutions to better understand current issues. This was supported by secondary research into statistics of the industry.
Prototype Building
- Using Figma, we constructed the general process by which our consumer will use our website.
Pitch Video Development
- Bringing it all together!
Key Roles in the Team
While everyone went above and beyond this project, we all found our place to take the lead on the project.
Cluny
lead the organisation of the team, ensuring that zooms were up and running and all the checkpoints were met
Ben
took the lead on the more technical aspects of this project including the editing and piecing together of our video pitch
Alejandra
took the lead in designing our pitch and prototype aesthetic and made our brand cohesive across all elements of this project
Zhao
lead the way with the market research, designing and taking a lead in distributing our survey and then putting together the data to form meaningful statistics.
Challenges we ran into
Due to time constraints, our primary market research did not yield as wide a range of result as we would have liked
Coordinating time-zones with workload
Pivoting several times in the initial stages to lock in an appropriate target market
Receiving feedback that wasn't always positive was disheartening but it was in the end a good thing as it allowed us to reach our final product
Accomplishments that we're proud of
Creating a working prototype that allowed us to bring our collective vision to life
Working successfully with an international team and through different time-zones.
What we learned
The importance of a good, diverse team
The importance of communicating in effective manner that left no room for confusion
How to properly deliver an idea pitch in 3 minutes or less.
Strategies to better pitch a start-up.
What's next for Team 21
Win the Hacker Exchange!
All of us are looking forward to using the tools learned in our daily lives and future work.
Continue improving our presentation skills, which will aid in successfully starting and- finishing projects.
Consider and discuss starting Xhibit.
Links
Figma Prototype
Video Pitch
Built With
figma
Try it out
www.figma.com | GGC Team 21 - 9+10 | As we speak 92% of galleries and museums are closed. We have a global platform to connect us to these institutions. In fact, we even offer personalised tours and livestreams | ['Laura Alejandra Lo', 'Cluny Gilmour', 'Zhao Hawke', 'Benjamin May'] | ['3rd Prize'] | ['figma'] | 2 |
10,292 | https://devpost.com/software/ggc-team-16 | Communication made perfecto-mundo: Mundohub.
Inspiration
Our team has taken inspiration from a topic very close to our hearts (and our heads).
Education is a system of society that we all personally related to, and one that has been heavily impacted by Covid-19. As students, we all witnessed how the onset of Covid-19 started to slowly affect our academic life; from the delay of Semester 1 classes, to the transition of social distancing, down to completely learning through online platforms. So we decided that education was the segment we wanted to target.
What it does
Mundohub enables parents and teachers to communicate in an all in one platform. From direct messages between parties, to accessing Covid-19 and school updates, finding school sourced educational activities - Mundohub helps engage parents with their child's remote learning. The main differentiation point is the language feature; so parents can toggle the app to be in their preferred language. This feature was designed to break down the language barriers parents may face in communicating with their child's teachers.
How we built it
Mural was a workspace tool which gave us the opportunity to plan and visualise our business model. The pre-set template gave an overview of the different sections of the business model we needed to consider.
Canva was the design tool used to select the colour palette and fonts to be used throughout our prototype.
The Figma software was the prototype tool used to create our UI prototype for our iPhone and iPad applications demos.
Our presentation was structured with Canva, which allowed us to maintain the same muted colour palette used in our demo designs. We aimed to showcase both the demo of the app and the value proposition side by side to give our judges better visualisation of how the app actually worked.
Finally, the finishing touches were added through the DaVinci Resolve video-making software to complete our final product.
Challenges we ran into
While we're a group of forewomen, there were a few key skills that were lacking within the group. The main one being use and knowledge of technology skills. We worked around it by listening intently and interacting in the workshop and making use of the video recordings and other online resources to figure out how to use tools like Figma and DaVinci Resolve.
We were also bogged down with idea formulations during the early stages of the week. We overcame it through market research and finding out what our target audience was looking for.
The stringent 3 minute limit of our final video challenged us to write succinctly. We had to prioritise on which aspects we found most important to feature in our final video. It was difficult cutting things out like the iPad prototype, which some of us spent ages on to create. However, we worked around it by ensuring that it would be featured in the DevPosts as a reflection of future potential.
Accomplishments that we're proud of
Madness Monday
Today was the day! The day to pioneer a potentially ground breaking product. As a group we quickly jumped into brainstorming ideas into the segments impacted by COVID-19. Collectively, we were proud for making the decision to trial out new programs like Notion and Slack.
Virtual mingling sessions provided an opportunity for us to build our networking skills, expanding our global professional network.
Thoughtful Tuesday
Through an amazing workshop conducted by Ryan MacCarrigan, we all learnt the wonders of Mural and discovered the platform of Figma which we planned on using later to create our product prototype. Although we had established a focus on the education segment (and worked on our mural accordingly), we kept an open mind to business pivots as there are a whole heap of exploratory workshops later in the day.
Wicked Wednesday
We've officially come up with an idea as of Wednesday July 1! It's taken us a bit of time to work out which audience we wanted to target, but with inspiration from our own experiences as students with parents who speak English as their second language, we've decided to create a tool that can translate messages sent between teachers and parents.
The Tables Turn (on) Thursday
Thursday was a big day for making our vision into a reality. Two words:
Matthew. Kwong.
In the space of 5 hours, we not only came up with a design palette (compiling a colour palette, logo and fonts), but also started our careers as UI wannabes thanks to Matt, and then got schooled by Matt in mentor hours. A fat pivot just before Checkpoint 6 was a big eye opener but one for the greater good. Changing our target market and core product to address the appropriate pain points and target market helped to drive us in the right direction.
Friday: Fore(Wo)men Figure (out) Figma_
We are proud to announce we have unlocked a big milestone: our UI prototype has been finalised and been test-run by our very trusty panel of supportive test users (our parents). We created both a prototype on a smartphone and an iPad to demonstrate the potential for Mundohub to expand its accessibility on other platforms in the future.
We stay up late tonight and some pull an all nighter to finish perfecting our final product.
What we learned
Hacker Exchange's Great Global Challenge was a path of discovery for all of us. We endeavoured to make the best of the resources we were given; and that started with challenging ourselves to collaborate on non conventional communication and workspace platforms.
We learnt to tackle time differences, sending regular updates to team members who faced the opposite time zones. We built on team work skills; assigning members to rotate scribe roles for each workshop or panel. This enabled other members to be able to work on the project or time for them to study for external exams.
We wrapped up our week of intensive learning with a small reflection on every team member's contribution. During this 1am zoom call we all outlined each other's strengths that came through during the week. For Kim, it was her perfectionism that enabled only the best work to be produced, Holly's amazing way of creating impactful messages, Haoru's thoughtfulness in always giving a helping hand, and Lina for bringing the group together. This helped each individual learn more about their working styles and how it can be used to strengthen their next group project.
What's next for GGC-team-16
We've all connected with each other on LinkedIn. Although we are all relatively distributed around the world, this project has proven that time zones and cultural borders won't stop us from conquering the next global disruption.
Built With
canva
davinciresolve
english
figma
vietnamese
Try it out
www.figma.com
www.figma.com | GGC Team #16 - Fore(Wo)men | Mundohub. Communication made perfecto-mundo. | ['Holly Mepham', 'Haoru Li', 'Kim Truong', 'Lina Chang'] | ['4th Prize'] | ['canva', 'davinciresolve', 'english', 'figma', 'vietnamese'] | 3 |
10,292 | https://devpost.com/software/team-19 | Quaranteam
Built With
canva
figma
Try it out
www.figma.com | GGC Team 19 - QuaranTeam | ReTeach educating children one parent at a time | ['Aaron Jauregui', 'Jada Ross', 'Samuel Fernandez', 'Jack Rumens'] | [] | ['canva', 'figma'] | 4 |
10,292 | https://devpost.com/software/smily | At first, we did not really know where to start. Our first idea, proposed by Pietro and subsequently developed by the team, regarded job losses and unemployment benefits that governments now have to face because of the crisis. We thought about a way for governments to turn unemployment benefits in wages to give people for their help in public works such as bridges, cleanings etc. However, we soon found that we did not have enough knowledge to properly develop such a solution for public authorities and local communities, and that such a solution would require a lot of legal counselling as well as collaborations with many local actors. In a few words, it looked too complicated and cost-bearing. We had also thought about airlines problems as something to fall back on, but we never really developed that idea.
It is because of this uncertainty that Tanya, while talking with Aidan, thought about Smily, an app to help people with mental illnesses or lack of a support system chat with likeminded people and feel less isolated. Pietro later also proposed something related to the hardships of the touristic sector, and the fact that tourists may feel discouraged to fly because of the lack of knowledge about varying regulations and procedures that different countries have adopted to deal with COVID. He suggested to build some kind of interactive map, so the team created a survey for the touristic idea too, besides the one created for Smily. Eventually, analysing the data from the surveys, the team opted for Smily.
After filling the team agreement, we used Miro to develop the Lean Canvas. We made two other lean canvases for the unemployment and the touristic ideas, which then we did not use. Most of the platforms we used were new to us, apart from Google apps. The market research was conducted through the two initial surveys mentioned, plus a secondary survey which aimed at finding the resources our target audience (young adults between 18 and 24 years old) would appreciate the most. The first user interface was developed through Marvel, while the final interface was actually realised through Figma. Aidan built the roadmap using Prezi, a platform she had already used in the past. While progressing with our work, we regularly edited our lean canvas and market research, thanks to desktop research and to the tips we were given in workshops and mentor hours, as well as the various panels. Our team didn't face any major challenges, just some uncertainty moments, especially in the middle of the week when we still were not sure about the idea we would implement. We have been in a bit of a hurry in the final day, as we were constantly editing the script for the pitch video. The week has been challenging, some times stressing, but never boring!
We feel we learnt a lot about team working and problem-solving, as well as dealing with stress and give voice to our creativity. Tools such as storytelling tips (you know how, what we give you, so that) UI workshops were particularly appreciated. Most of all, however, it is our mindset that nowis different! Someone was going to sleep when the others were having breakfast and or lunch! Crazy! International team working was exciting, and will continue to inspire us!
Built With
figma
google-docs
googlemodules
imovie
miro
prezi
Try it out
www.figma.com | GGC Team #13- The Four Horsemen of the HEXpocalypse | A social platform for people affected by isolation and anxiety | ['Aidan Eldridge', 'Elaine Zhang', 'Tanya Dixit'] | [] | ['figma', 'google-docs', 'googlemodules', 'imovie', 'miro', 'prezi'] | 5 |
10,292 | https://devpost.com/software/ggc-team-12-the-bats | Inspiration
Learning about the negative aspects of online education that COVID resurfaced. Hearing about the lack of motivation to learn online directly from students and noting the inequalities this could lead to inspired us to find a solution.
What it does
OnLEARN is an interactive and engaging online platform which motivates students to learn and take advantage of their education.
How we built it
We developed the first prototype of our project through Figma, to visualise OnLEARN and demonstrate its main features.
Challenges we ran into
One of the major challenges we encountered was conducting primary research (given our time constraint) for customer validation. It was difficult to get a large number students and teachers to respond to surveys and emails under 24 hours. However, we had a last minute burst of student and teacher responses which we were able to use for our pitch.
Accomplishments that we're proud of
We were organized and managed our time well (no all nighters were pulled!).
We were able to successfully pivot our idea to fit our consumer needs.
We are satisfied with the look and feel of our prototype.
What we learned
How to build up an idea from scratch; from basic idea to business model to prototype and pitch.
The number of resources/tools available for us to bring our wild ideas to life yet keep them tethered to reality
What's next for GGC Team 12 - Les Students
Make use of the new skills and the toolkit in our daily life.
~ GGC Team 12- Les Students (Ayushi, Bryce & Thi)
Try it out
www.figma.com | GGC Team 12 - Les Students | Reframing Education | ['Bryce Taylor', 'Khanh Truong', 'Ayushi Agrawal'] | [] | [] | 6 |
10,292 | https://devpost.com/software/team-3-the-bachelors | Skills Wallet on Blockchain
Skills Wallet on Block-chain
"Enabling clients along their digital reinvention journey"
What it does
We've all felt the stark impact COVID-19 has had on the job market. The US alone has suffered 21 million lost jobs, affecting many of our friends and their families. The global populace remains concerned as indicated by our multinational survey and interviews consisting of 100 respondents from the UK, the US, Australia, India, and more. When asked how concerned they were with different stages of the pandemic’s job market, respondent sentiment scores skyrocketed from 48% to 79%. Furthermore, employer sentiments have also steadily increased with stages of the pandemic where concerns for finding applicants with future skills have risen by 128%.
In light of these growing concerns, industries are responding by requiring job training for their employees to combat the ongoing global recession. Microsoft leads this revolution with online education to meet the newfound demand for future skills (PAUSE) tertiary education is not enough. So - how do we map this ever-expanding list of skills, especially with non-tertiary education on the rise.
Enter the Skills Wallet on Blockchain, an immutable skills ledger based on an IBM blockchain platform –offering more security and flexibility than a traditional database. Skills Wallet provides a tool for organisations, universities, and other learning platforms to compile data on their individual employees' proficiencies.
How we built it
A combined effort of market validation and research strategy in tandem with some prototyping using an online website platform constructor. The front end-user experience is prototyped in the website linked while the back end would utilize cloud-based technology such as the work conducted at IBM in Australia. Currently, Rohan works at IBM with these technologies and is helping organizations propel into the digital era.
Challenges we ran into
After an initial idea of a store business indicator, we pivoted completely to investigate the job market and decided to incorporate Block-Chain technology as a method for solving the deception, competition, and uncertainty of the job market for the applicant and employer. Surprisingly, coordinating efforts with team members in three distinct time zones was not the most arduous task but it was still a challenge that we overcame through our tenacity, determination, and willingness to perform at this event.
Accomplishments that we're proud of
We are all proud of the market research conducted, the validation statistics gathered in a short time (over 100 survey responses), and the overall concept of a method for reforming a pivotal component of young adults lives.
What we learned
Asides from the fabulous workshops on business canvas documents, market research, UI design, pitching, and prototyping. Our group has come to appreciate the multifaceted nature of society and that all sectors have been affected by COVID-19. The world will no longer be the same moving forward and each of us has a role to play in trying to find solutions for newfound issues.
What's next for Team 3 - The Bachelors
Right, Rohan and Sen are off to sleep after pulling an all nigher, Johnny is off to get some Margaritas in to celebrate and Alex is off to cook a spicy stir fry (give us all that spice, baby!) We've had a fab week, honestly, we would say this was our favorite uni project to work on. Who knew we could bond so much being in different time zones across the world, in just 5 days! Thank you Hex!
Built With
blockchain
cloud
ibm
r
wix
Try it out
johnnyswierczynski.wixsite.com | Team 3 - The Bachelors | Enabling clients along their digital reinvention journey | ['Alex Zhao', 'Rohan Bhalla', 'Johnny Swierczynski', 'Sen Foo'] | [] | ['blockchain', 'cloud', 'ibm', 'r', 'wix'] | 7 |
10,292 | https://devpost.com/software/ggc | YesterHear - The Best Music from Yesteryear
App Home Screen
Digital Concerts in Aged Care Homes
Team Logo
What inspired us?
Senior citizens suffering from loneliness during the COVID-19 Crisis
Mental health of many in society impacted due to isolation
This cause hits close to home for us due to experiences with our grandparents.
Musicians with lost revenue - Hearing from London based Opera Tenor, Samuel Sakker, who even suggested that musicians like him were reduced to an ‘elite form of begging’.
The transformative power of music for the elderly
What did we learn?
Much of the existing technology for music streaming tends to be inaccessible for the elderly
Research reveals the positive impact of music on mental and physical health.
From speaking to friends and family, as well as local aged care homes, loneliness and isolation seems to be felt more than ever during this pandemic.
As we spoke with local musicians, we learnt they feel demoralized from the big hit their industry has taken and are eager to try new easy-to-access revenue streams
How did we build our service?
We performed market research through cold calling local aged care homes and talking with seniors such as neighbors and family members. We also reached out to the wider elderly community via Facebook groups and collected data through an online questionnaire.
Speaking to a care manager at an aged care home in the UK, allowed us to see that for the average care home, even before the crisis began, live entertainment was simply too expensive to support routinely. They also indicated, however, that the prospect of cheaper live entertainment through online platforms seemed to be favored.
Learning from this, and after discussing our ideas and customer research with several experienced and well-established mentors, we decided to initially direct our application to ‘elite’ aged care homes, that would usually have a budget assigned to routine live entertainment for their residents. Introducing our application to this relatively niche market (our ‘Early Adopters’) would allow our application to improve and serve the elderly better. It would also help us to build a rapport with our customers and users, enabling the application to expand to a wider variety of aged care homes and eventually seniors in independent living. Thereby, getting closer to our goal of serving the entire elderly community and bringing back that zest for life, especially in times like this.
We also found, after interviewing several local musicians, that musicians were looking for a platform where they were able to easily perform without being weighed down by technical issues. By handling the recording equipment, streaming platform and communications with Aged Care Providers, we are able to make the work of artists as simple as possible, therefore adding value to both sides of this marketplace.
Our user interface (UI) is aimed at making the application as easy to use as possible. Because we are geared towards higher-end age care homes, we have put a system which has two different UI - one meant for staff members to have access to resident apps within the same operating system and stream entertainment directly onto their devices (TV, tablet or smart phone). Our resident UI is geared towards simplicity and is meant to mimic an item that most senior residents could have a reference to, the radio. As soon as a user clicks on the resident button the device will remember their selection and gear the app towards our simple interface. The app will automatically start playing a standard station such as classical, blues, or jazz and the user can choose to go to the next station. If help is needed, there is a help button that can connect the resident to the staff device.
What were the key challenges we faced?
We needed to make the app simple and user friendly, which meant that we needed to understand that even buttons that we found intuitive, may not be as intuitive from the perspective of an elderly person.
Deciding whether to gear the app towards the overall elderly market or to the private aged care facilities was an issue up until the second last day. We decided to go with Aged Care Homes because they would have the proper assistance to help with the app set-up and we believe that this market already had a need for performances which has been reduced due to the COVID-19 pandemic.
Throughout all of our challenges, everybody in the group stepped up and assisted in any way they could which helped the team move forward.
Our journey lead us to
‘YesterHear’
.
YesterHear : The Best Music from Yesteryear
YesterHear is bringing the joy of concert halls back to seniors' lives!
We've volunteered at Aged Care Centers and witnessed first hand the phenomenal effect performances can have on the elderly. But don't just take our word for it, there's a wealth of research into the astonishing effects of music on seniors suffering from conditions such as dementia, depression and mobility loss - as well as on generally improving their well-being
At best, Aged Care Homes are able to bring in performers 2 or 3 times a week. But since the COVID-19 crisis, this has become nearly impossible. At the same time, the performing arts sector has also been devastated by the crisis. Although this has actually created an opportunity since many artists have pivoted into creating digital content such as live-streams. Unfortunately, the seniors we interviewed struggled to access this content due to technological barriers. So that's where YesterHear comes in - we're creating an easy to use platform that links seniors with engaging performance experiences.
Our app and web-page will contain performances from a range of genres, specifically curated for the interests of seniors. YesterHear's simplified interface allows carers to set up the videos for residents to enjoy. The platform also uses AI to recommend the performances we think they'll love.
Our primary customers are private and higher-end Aged Care Centers. Market research revealed that activities coordinators here have the budget available for more regular resident entertainment if it was delivered online. Our 'Muso' package gets users hooked on our more user-friendly and tailored platform relative to other streaming sites. Care providers can then choose from the 'Virtuoso' plan which unlocks all pre-recorded content or 'Maestro' which includes additional live streams. We also offer customized private live-streams.
We can't wait to bring the joy of music back into the lives of our most treasured but also most vulnerable community members and we hope you'll join us in this project!
Built With
figma
miro
slack
youtube
Try it out
www.figma.com | GGC Team 8 - imPACTS | YesterHear - Live music for the elderly | ['Travis Hawken', 'Patrick Jaffe', 'Swetha Pillai', 'Ali Tajkarimi', 'Christopher Seidl'] | [] | ['figma', 'miro', 'slack', 'youtube'] | 8 |
10,292 | https://devpost.com/software/team-17-12rt0d | GIF
Inspiration
Mihiro first noticed a increase in issues covered by the Japanese media regarding unemployment as a result of the COVID-19 pandemic. There were numerous articles regarding government assistance and financial support being provided to the general public. However, support for vulnerable groups - single parents, the elderly, and people with disabilities - were rarely discussed. As these groups are more severely affected by natural disasters, infectious diseases and financial crises, their problems are often ignored and considered a taboo subject by the Japanese government and society.
Out of the numerous vulnerable communities, we chose to focus on single parents due to an increasing emphasis in gender equality and feminism in Japan. We noticed that single-female-parents are more likely to suffer poverty than single-male-parents, as Japanese traditional social norms make it harder for women to attain jobs. They also earn less than the average Japanese male.
The aim of our app is to ease the many burdens all single parents possess, regardless of gender. However, we are hoping to assist as many single-female-parents as possible who encounter sexism and prejudice on a daily basis.
What it does
After an account is made by the user, they will have an access to the "Articles", "Video", and "Market" platforms. The "Articles" platform is where users can share their tips and recommendations to assist single parents in daily housework tasks. It includes "comment" and "chat" functions, where users are able to interact with the writers of the article. We also added a "follow" function, so users can directly connect with other users. The "Video" platform allows users to share a snapshot of their lives, such as cooking videos, and videos of their children. Lastly, the "Market" platform allows users to share their skills in exchange for money.
How we built it
MockingBot was to complete the prototype. We first designed the three main modules of this application: the Article module based on text and picture sharing, the Video module based on video content sharing and the Market module for temporary work release. Designing the final prototype involved adding user detail pages, comment forums and private chat functions to the main modules - supporting user needs in establishing an online community.
Challenges we ran into
Mutual understanding:
As some members joined us later on in the challenge, there was a disjointed level of understanding across the team about the general idea of our product. This often led to incorrect work being submitted and misunderstandings across discussions. However, we managed to play to each other's strengths which worked extremely well!
Creative obstacles:
As most of us are commerce students, we do not often encounter situations where we are faced with challenges regarding innovative solutions. We were unsure about the simplest of things - even on the colour of our prototype. This project has really challenged our minds and expanded our horizons on developing innovative solutions to make a positive social impact.
Accomplishments that we're proud of
Teamwork:
As our team encountered a multitude of challenges on this journey, one thing that we could always rely on was each other. Our members were mostly from different time zones, which allowed the project to be constantly updated and completed for the next person to leave their mark. Our team worked together extremely well despite our conflicting schedules which is a great achievement.
Eliminating barriers and embracing failure:
Most of us were not comfortable with thinking outside of the box and creative problem solving. However we jointly agreed that we came into this experience solely to learn new skills. This allowed any mental pressure or fear of failing to completely dissipate, leaving only our willingness to learn and try new things. Our capabilities for creativity and innovation were thus maximised, which allowed us to individually and collectively work together on an idea that we were all passionate about.
What we learned
Learn from those who are different:
As we all came from diverse educational and cultural backgrounds, we often had conflicting views and opinions. However, we soon overcame this and played to each other's strengths. We were able to gain valuable insights and expertise from that we never knew we would gain.
Practice through learning:
We learnt from the multitude of workshops, panels and mentoring sessions and were fortunate enough to be able to apply our knowledge learnt to our prototype. Although we were not always confident with our attempts, we were able to apply critical feedback received to our work - thus only making it better.
What's next for Team 17
The next practical steps to bring this application to life would involve spreading the word about the application via social media (particularly LINE, Twitter and Instagram) to build traction as social awareness about this app will be the key to its success. Forming a community group via social media platforms such as Facebook will be imperative in allowing like minded single mothers to join an online “support group”, as well as approaching potential sponsors to seek greater financial assistance to add more features to the application. Finally, businesses will also be approached for a partnership, particularly those who have single parent employees and those who provide services in the industries that single mother users of the application wish to offer themselves.
Built With
amazon-web-services
mockingbot
Try it out
modao.cc | GGC Team 17 (404 Found) | Okaasan - An application that meets the growing needs of Japanese single parents. | ['Xueyu Feng', 'Mihiro Morooka', 'Hui Chua', 'Feifei Luo', 'Cherry Kohli'] | [] | ['amazon-web-services', 'mockingbot'] | 9 |
10,292 | https://devpost.com/software/hex-great-global-challenge-project | "I am a customer" tab
Home screen. Please note that the About tab and the company's name are together only on 100% zoom on Microsoft Edge. 75% zoom works better
Community match program tab. Note that those professionals are placeholders
About tab
"For customers" tab
Shop tab. Clicking on the links on the pictures lead you to real businesses around San Diego
Click on the image to redirect you to an actual business!
"Donate" tab. Note that those are placeholders
For your information, you can actually log in with your real FB/Google account
Shop tab, 75% zoom. Note that the top tabs are actually placed correctly now
Menu tab (mobile)
Mobile version. It works, it's relatively fluid but some of the bottom content may be covered
This project started because we needed something to submit for the HEX Exchange Great Global Challenge. In the beginning, the project was intended to provide relief for local farmers as they were struggling to sell their products during the pandemic. Our product aimed to provide sustainable and accessible access for consumers to healthy food alternatives directly from the source, generating productive business for local farmers. Basically would match local and regional producers to potential customers.
After attending the HEX market research meeting, we identified that there was no specific scope associated with the idea that we had initially as there were so many gaps in the idea, and the empathy mindset was not clearly set (This was something like an organic Deliveroo, we wasn’t sure whether we should get the delivery vehicles or the producers, making sure the producers would follow the health & hygiene guidelines was tricky etc.). Hence, we had a crucial pivot where we narrowed down on the essential theme we were focused on, which was providing support to local retailers. This led us to the new idea.
So here we are now, working on a website meant to match small businesses struggling to stay afloat because of the COVID-19 pandemic with legal counsellors, marketing experts, business analysts and other professionals that can help these businesses recover from this situation, and find new customers.
Businesses and professionals will apply to join the platform, both categories will get matched depending on one’s needs and other’s services, they decide separately whether they want to collaborate or not, and if everything goes well, we get a share of the cost of the professional’s services.
The businesses would also have a subscription feature in which they would pay 0.20 US$/click to be advertised on our page.
We jumped from a platform to another until finally deciding what to use to make the website. We started with Figma, then we said that Squarespace will do the job, then a team member started experimenting with Canva (we used that for a market research presentation at the end though), but we finally settled with Wix. Above there are some pictures of the website.
Pivoting to a new idea was difficult because there was a lot of work to be redone, from the problem statement to the market research, also getting some stats about the businesses' needs was not in our control but we made it to the end and we have a vision of what people need and what are they willing to pay for solutions.
Built With
wix
Try it out
dpbhatia.wixsite.com | GGC Team #11 - Team Stardust | A website for connecting small businesses affected by the COVID-19 pandemic with market analysts, consulting teams and marketing/business management professionals and customers to keep them afloat | ['Andrei Sarandi', 'Divya Bhatia', 'Yagnesh Naidu', 'Lawrence Phillips'] | [] | ['wix'] | 10 |
10,292 | https://devpost.com/software/team-number-15-aka-fantasticas | As current university students, we were inspired by the use of technology as a alternative of traditional, in-person teaching. As students, we experienced first-hand how online teaching can affect our lives, not only in regards to our education but also how it can affecte our mental and physical healths.
From there, we discussed the shortened students' attention and concentration span as well as the abundance of distractions that surround us when we undertook online learning - including our experience during this program! That's when we decided on this idea of a software that can help teachers find out who has trouble understanding the given content as well as people who are not paying full attention during tutorials. With this software, we envisioned that it could not only help teachers, but also students who may be too shy to approach teachers after class or who may be embarrassed in admitting they need help infront of their classmates.
In building this prototype, we engaged and took notes in all of HEX's workshops and sessions to gauge a good understanding on how to begin a prototype. This began from the first goal-setting workshop, all the way to the last pitching workshop. Furthermore, we were also given a more in-depth understanding of matters during the Covid19 pandemic, as well as amazing entrepreneurship skills.
For the first few checkpoints, we all spilt the work evenly amongst ourselves. However, when it came to the last two days, we decided to spilt the work - Adrianna and Zijian on the prototype (Figma) and Ziyang and Gabrielle on the pitch video (Biteable). There were a few pivotal changes that were made before we ultimately concluded with BOOP, our prototype software! With good communication and teamwork amongst ourselves, we were able to finish the challenge with ample time to spare.
During the last week, we really grew as a team and quickly began to understand how each of us work in a team. What made this experience so much better was that we all worked hard and did our part of the challenge. Everyone was also super helpful, accommodating and positive. This was a really intense but fun week for all of us. Lots of new skills were learnt with the help of many amazing mentors and speakers.
Thank you HEX for organising all of this!
Try it out
www.figma.com | GGC Team #15 - Fantasticas | We focus on simplicity and anonymity. | ['Zijian Wang', 'Adrianna Jezierska', 'Ziyang Yang', 'Gabrielle Terliatan'] | [] | [] | 11 |
10,292 | https://devpost.com/software/team-14-team-agreement-submission | Inspiration
We wanted to create something that would allow people to continue to
build relationships
and
create memories
whilst not being able to physically see each other during lockdown. We noted lockdown has caused many events and celebrations such as birthdays and graduations. This has contributed to feelings of isolation and detachment, thus we wanted to create a product/program that would allow people from all
over the world
to continue to
make memories
and
celebrate events
.
What it does
Users download the 'Vidyou' app. The host selects to create a new video- they can choose from occasions such as birthdays, wedding or graduation- each of these have a different theme. They choose how long they want the video to be and then invite users on multiple devices from anywhere around the world, to film a short clip to be part of the video. When all users have uploaded their clip the app will automatically edit these together into one
seamless video
.
How we built it
We built the app prototype on
Figma
. And plan to expand to a fully functional app using
Swift
in
Xcode
.
Challenges we ran into
We decided to
pivot
away from our idea and change our app to be aimed at a
professional market
so people working in international businesses could quickly produce short pitches. However, we found with our
market research
that this market was already very crowded and software for pitches is generally for desktop and laptops is rather than apps. Our mentor advised to go back to our original idea so we created a
new survey
and completed more
market research
which confirmed our app was
feasible
so we rejigged our plan and the rest of work to fit this.
Accomplishments that we're proud of
Making a prototype
app
in under 5 days
Creating a
professional
pitch from three different countries on three different time zones
What we learned
Market research skills
Dividing
work equally
Compromise
and
negotiation
Time management
Working under
pressure
to reach a
deadline
What's next for Team 14 / Team Agreement submission
We would like to take our prototype to
next stage
and release it as an app.
Built With
figma
swift
xcode
Try it out
www.figma.com | GGC Team #Alt-A | VidYou - celebrate from anywhere | ['Liam Rogers', 'Daisy Mangan', 'Dibyayan Ghosh', 'Muskan Makhija'] | [] | ['figma', 'swift', 'xcode'] | 12 |
10,292 | https://devpost.com/software/global-challenge-submission | Inspiration
Due to COVID, there are bans on mass gatherings, concerts and festivals have been cancelled, and young people have found themselves stuck at home. The lack of entertainment and social activities has meant that many of them are feeling isolated and alone. Furthermore, artists and vendors have lost a principal source of income, and artists may have found themselves with much more free time.
Therefore, we wanted a solution that would benefit both audiences and artists, as well as all supporting parties, to help people recreate a festival atmosphere at home.
What it does
The idea is a festival experience in a box. Audiences can purchase tickets online, and a festival kit is sent to their homes a week before an event. The box will contain exclusive merch and offerings to help recreate a festival atmosphere at home. On the day, they can log in to the platform, and stream the festival whilst interacting with their friends through video or messages. The contents of the kit will be tailored to the specific event, with attendees connected to others globally through a unique shared experience.
It helps connect people with their friends and artists with their supporters, to recreate the social aspect of festivals. The festival kit is a unique offering to provide an immersive experience that's more than simply watching a stream on your phone; it's a way to feel connected to people all over the world, knowing they're all wearing the same hat that they found in the box. It helps reduce feelings of isolation in young adults, and improve their mental health by providing a social outlet. Concertified provides a new revenue stream for artists, vendors and festival organisers, by creating a new niche in the market.
How I built it
Miro:
Planning including lean canvas, risky assumptions mapping, personas, roadmap, brainstorming
Figma:
Creating the prototype
Canva:
Creating the pitch deck
Zoom:
Communication
Slack:
Communication
Messenger:
Communication
G suite:
Google docs, and Google Drive for collaboration on documents and for putting information together
Adobe Premiere Pro:
Pitch video
Challenges I ran into
Figma had a steep learning curve
Initial prototype design received negative feedback so we had to quickly change it
Made too many assumptions at first, so had to let go of them and open our minds to new ideas
Getting comfortable with pivoting
Accomplishments that I'm proud of
Team contributions:
Alex:
Role:
Australia daytime lead, hustler, the writer
Key contributions:
Ideation, lean canvas, risky assumptions mapping, prototype creation on Figma, market research, pitch ideas, pitch video, roadmap, pitch script
Jennifer:
Role:
Hipster, team worker, the ‘namer’
Key contributions:
Ideation, lean canvas, risky assumptions mapping, prototype design, prototype creation on Figma, market research, pitch ideas, roadmap, team and service name, pitch script
Tasneem:
Role:
UK daytime lead, hustler, documentation
Key contributions:
Ideation, user stories, personas, google forms survey and further questions, prototype design, prototype creation on Figma, market research, roadmap, pitch ideas, pitch deck, pitch script
Wen:
Role:
Hipster
Key contributions:
Prototype creation on Figma, summary of survey responses, project timeline document
What I learned
How to use various tools such as Figma and Miro
How to navigate time zones and provide team members with concise updates
How to trust team members to get work done when you’re asleep
How to create an effective pitch
Challenges and obstacles faced when creating a start-up
The importance of pivoting
What's next for Global Challenge Submission
The world is likely never going to go back to what we previously defined as normal, and virtual events are here to stay. We're offering a new form of entertainment, a festival experience in a box. Affordable, convenient and global, audiences can enjoy a festival without the need to travel halfway across the world. The subscription box market is growing, and the current pandemic has created a people are seeking out new ways to connect with their friends and favourite artists. Our ultimate aim is for Concertified to become a global sensation; to see all festivals partnering with the service to attract larger audiences, both hardcore festival fans and casual music listeners. The goal is to provide an additional service and work in partnership with festival and concert organisers to become the next best thing to physically being at an event.
Pitch Deck
https://www.canva.com/design/DAEA4K-Byr4/yDut7jaV0dPS2aOk73Y0GA/view
Built With
adobe-premiere-pro
canva
figma
g-suite
miro
slack
Try it out
www.figma.com | GGC Team #10 - Team 10x202 is Cancelled | A festival experience in a box; bringing the atmospheric and experiential aspects of traditional music festivals to your living room | ['Tas B', 'Wen Fang', 'Alexandra Weymouth', 'Jennifer Ton'] | [] | ['adobe-premiere-pro', 'canva', 'figma', 'g-suite', 'miro', 'slack'] | 13 |
10,292 | https://devpost.com/software/jerm-20-t405ad | Inspiration
Trying to see how we could help members of the community impacted by Covid-19 as well as have future implications to ease daily hassles. The elderly are more susceptible to the disease, and as a result, family members are unable to visit them or attend appointments with them during such a time.
2 of our teammates have watched our parents care for their elderly parents and see the strain of time and resources to take care of them, which became especially prominent during the pandemic. They had fear of giving them his horrible virus when visiting them.
What it does
Our app aims to develop an app that connects family, pharmacists, doctors and patients to ensure the patient can get the correct and appropriate medication delivered to their door to provide more peace of mind and convenience for all involved in the ecosystem for caring for the elderly.
How we built it
We prototyped through Figma, after conducting a survey with Google forms that were delivered to a range of people on numerous platforms including LinkedIn, Facebook and Twitter.
We aimed for our app to be very simplistic so more tech-savvy elderly would still benefit using the app for themselves.
Challenges we ran into
As a team, we found it quite difficult to decide on one idea as we had so many plausible ones relating to different consumers and target audiences. Due to our market research, we pivoted on Thursday scrapping our idea about developing an app for the elderly to deliver medications to them, to a broader concept aimed at their families. The pivot also included the idea about doctors, pharmacists and patients being more interconnected.
Accomplishments that we're proud of
This week has been jammed pack full of ups and downs, workshops and communication. We always managed to have checkpoints done on time and communicate effectively even cross time zones.
As a team, we worked well and communicated just as well. The fact that we were in a group of such determined individuals made this experience worthwhile and ultimately lead to a product we were all happy with.
What we learned
These ideas take time. Rome was not built in a day, and there are definitely awe-inspiring moments and there are also moments that bring out the worst due to the disappointment you feel when the idea you thought was going to work, didn't work. This experience has also taught us that failure is a learning process, and it's failure that helps us grow and improve both as individuals and improves our idea.
We have learnt something new every workshop, from problem statements to pitching our idea. This experience has been an amazing breakdown on how to pursue an entrepreneurial passion and when to pivot ideas.
What's next for JERM-20.
Elderly Fitness apps and Sanitizing perfumes
Built With
connection
love
teamwork
technology
Try it out
www.figma.com | GGC Team #18 - JERM-20 | Making Medication Easy | ['Jelena Josipovic', 'Rebecca Pecovski', 'Millie Dunne', 'Edward Holland'] | [] | ['connection', 'love', 'teamwork', 'technology'] | 14 |
10,292 | https://devpost.com/software/great-global-challenge | Inspiration
Healthy habits are a cornerstone of living a health and successful life. However, during lockdown the daily routine of children has vanished with no replacement. As such, Covid-19 and lockdown has exacerbated one of the biggest health issue for children, obesity.
We believe that we can help parents and children alike by bringing back routine.
What it does
Bunji, our app uses gamification to engage children and help them build the healthy habit of exercising. Additionally, we have the ability for parents and children to collaboratively set goals in order to educate children on smart goal setting.
Finally, the app generates health insights for parents and can make suggestions.
How we built it
We built the prototype of our app in Figma
Challenges we ran into
Reaching the target market (parents) for exploratory research was difficult. It was a major block in our progress as it informed the direction it would take. Thankfully, we found parents willing to complete our survey by leverging our social media networks.
Accomplishments that we are proud of
Honestly, everything. In these 5 days we as a team have come up with an amazing concept, created a lean canvas, a marketing strategy, prototype and a pitch deck.
What we learned
Each of us took different things away from each of the workshops, but if we could single out only 1 it would have to be how to turn a problem into an idea, and then how to idea into a solution.
What's next for Great Global Challenge
Well right now I think all of us want to go to sleep, but afterwords we are probably going to look through all the various submissions, learn from them and refine our idea (also based on the feedback from the judges). Oh, and connect with people on social media and linkedin (because where else are you going to find such a talent group of international peers in 1 place). | GGC Team #4 - H.O.U.N.D | Helping children build healthy habits during lockdown. | ['Maiher Chopra', 'Alex Padayao', 'Mike Ziyang Liu'] | [] | [] | 15 |
10,292 | https://devpost.com/software/checkpoint-1-team-agreement | The Inspiration
Inspiration struck while we were listening to the first panel on COVID-19’s Impact on Health & Global Business. During this session, Blair Lucas and Donna Legge spoke about the current communication tools available in the workplace. They noted that, when working from home, there was no technology that could truly make up for what is, fundamentally, a lack of human contact.
This got the team thinking - this might be the case, but could we at least address some of the symptoms of this issue?
The Problem
We are whole people. Our mood and mental health cannot be separated from our professional selves. Huge improvements in engagement and productivity are experienced by companies which accept this and check up on their employees.
In the physical workplace, these check-ups can take place through incidental and everyday interactions. In the digital, remote workplace, these exchanges do not take place. There is some discussion in the industry about replacing this with proactive and deliberate discussions about mental health, but the stigmatized nature of issues around mental health presents a barrier to the efficacy of this strategy.
The Solution
We have developed Moodful, a simple software which can be implemented into existing workplace culture and digital infrastructure which gives employees the chance to undertake one simple expression of their mood and mental state. In this way, their co-workers are provided with a simple indication of the well being of the individuals in their workplace, in an easy and non-confrontational way. In addition, workers are given the option of reaching out to others, or accessing further mental health resources, all within the same user-friendly process. With this product, we are trying to enable to early identification and mitigation of mental health issues in the remote working space, improve office culture, increase productivity and performance, save time for managers, and help tackle the stigma around mental health.
The Process
Of course, we did not arrive at this idea immediately - it was the product of a few pivots and shifts in our thinking.
In the early stages, we had some discussion about other options in a similar space, before arriving at the version of the product which we contemplated when we went into developing our LEAN canvas and risky assumption mapping.
This early discussion and its results are detailed on page one of the following document:
https://docs.google.com/document/d/1t2mBEsC7Y4PhOY3_sMmvtmAk21QZB_dX5tot_gBmv5s/edit#
Our LEAN canvas (prepared by Lachlan and Celine) can be found here:
https://app.mural.co/t/gethexyforme7677/m/gethexyforme7677/1593486769400/7cfdd8b49f2a64abe2acfde72855d301b9e4e09c
Our risky assumptions map (prepared by Livonne) can be found here:
https://app.mural.co/t/gethexyforme7677/m/gethexyforme7677/1593549882662/0c3f4a6e07282ed20700f912f3950207c4eabedd
Research
Our market research strategy and results are outlined in the following Google Doc:
https://docs.google.com/document/d/1O7eintFjqeQeGojxdNGdnJkkMFD0rPhzZw5nWSARPeE/edit?usp=sharing
Celine and Lachlan designed the surveys and customer persona for the manager, while Livonne completed the desktop research and the user persona for the worker, as well as the customer persona for the HR officer.
As a result of our research, we realized a pivot was required. We had thought that most workplaces would not have existing systems in place to deal with mental health, but our primary research indicated that this was not the case - many managers had told their employees that they were welcome to approach them with such issues.
Because of this, we decided that our marketing should emphasize the benefit of Moodful over existing workplace practices in its simplicity and accessibility, as well as its power as a tool to tackle mental health stigma (which could be leveraged by companies' for brand differentiation. This is discussed in more detail in the above document.
Prototype Testing
Lachlan had sketched a rough physical prototype for Moodful, which he presented to some other participants in the exchange over Zoom. They were especially pleased by the use of yellow sharpie, so this was what we chose as Moodful's theme colour going forward. This choice also fit in with our vision of Moodful as a product to engage with every morning - the idea of a bright start to the day was appealing.
Lachlan and Celine then built the first high(ish) fidelity prototype in Figma, which quickly went to testing. We undertook four rounds of building, testing, and re-building to implement feedback, which all the team completed together. This process involved some minor pivoting, in that we decided to allow moods to be shared with individuals other than the worker's manager, or no-one at all. This process, including the justifications for and ramifications of this pivot, is outlined in the Prototype testing report which was prepared by Celine, beginning on page 2 of the document at the following link:
https://docs.google.com/document/d/1t2mBEsC7Y4PhOY3_sMmvtmAk21QZB_dX5tot_gBmv5s/edit#
.
Our final prototype can be accessed here:
https://www.figma.com/proto/ObzFOA8atWvOXOZtCv59cx/Prototype?node-id=1%3A2&viewport=560%2C181%2C0.0320434495806694&scaling=scale-down
Pitch
The team developed the script for our pitch together, using all we had learnt from the above process. Lachlan presented the pitch, while Livonne worked some iMovie magic.
Where to from here?
A 'roadmap' detailing our team's plan for this product from here on out was prepared by Celine, and is found at the following link:
https://docs.google.com/document/d/1ACPWGftAJtiWMnoTjz0PSL4uULREIJV_i32CDWLVlNE/edit?usp=sharing
Final submission
In what was the early hours of Saturday morning for Celine and Lachlan in Australia (or the pleasant mid-evening for Livonne in Germany), our final prototype and pitch were submitted.
We have overcome many barriers:
Livonne started the week as a resident of the UK and ended it back home in Germany;
Celine sat and (hopefully) smashed a marketing exam;
Lachlan decided Friday afternoon was the ideal time to for a nice interstate road trip;
and Mariana, the ever-elusive fourth member, presumably had quite a relaxing time in blissful ignorance of our hard work.
Despite all this, we've come out the other side with a product and pitch that we all truly believe in, and can be incredibly proud of.
Key areas of focus
Lachlan: Problem identification, customer persona analysis, survey questionnaires, prototype creation & trialling, pitch writing, filming/acting
Livonne: Problem identification, customer persona analysis, risky assumptions mapping, secondary market research, video editing
Celine: Problem identification, customer persona analysis, survey questionnaires, prototype editing & trialling, pitch writing, synthesising final documents.
Try it out
www.figma.com | GGC Team 20 - Get HEXy For Me | Moodful | ['Livonne Pan', 'Celine Chang', 'Lachlan Pembroke'] | [] | [] | 16 |
10,292 | https://devpost.com/software/great-global-challenge-portfolio-team-5-csociety | Following the advice of Jac, we utilised the Double Diamond Process in brainstorming the issues we believed were at the heart of the COVID-19 environment. We noticed a great deal of overlap within our team when it came to mental health, and more specifically, the universal concerns around isolated and vulnerable community members. We narrowed our focus to elderly populations as we believed these were the segments to whom we could provide the most assistance.
BeneBox is a multimodal therapeutic box to holistically improve mental health, access to basic resources and combatting lack of interaction for vulnerable members in society.
Even if the COVID-19 pandemic has separated you from your loved ones, BeneBox can keep you together. Customers can purchase a box or a subscription service, and a team of dedicated employees and volunteer (through university programs) will handle its procurement and delivery. The box will include, with the option of customisation, basic groceries, snacks, haptic technology, multi-sensory stimulation, basic therapeutic exercise equipment and personalised letters.
Vikram, with his amazing technological skills took charge when it came to web design, as did Genie with her design flair and experience using Adobe Spark. Tash and Eszter, the marketing girls, took charge when it came to marketing strategy and customer segment analysis. All team members were organised and involved in the creative decisions to come up with a project we are so excited to hopefully bring to life very soon.
Focusing in on an initial target customer segment proved a bit difficult, but through extensive discussions and video calls we were able to come together and make executive decisions successively. Connectivity provided an occasional bump in the road, but using hotspots on our phones and sharing the workload, we were able to help one another out and overcome this. User testing further helped us smooth out any possible problems we could face once the project is underway!
We are all very excited and proud of our prototype! We are also proud of our group synergy and the friendships we formed in this process of working together across two timezones. We all impressed ourselves with the creativity that we uncovered within ourselves.
Tash and Eszter learnt a great deal about new technological platforms and thoroughly enjoyed picking apart Vikram and Genie's brains about all things web design! Vikram thoroughly enjoyed his first taste of marketing and customer segmentation. We all learnt a great about product creation, navigating timezones, innovation and working under strict deadlines!
Early on, our team, cSociety, discovered that we were all very passionate about our idea and truly believed that we could realistically look into implementing our new idea! We've discussed the long-term possibility of global expansion, partnerships and perhaps branching out into bulk sales to aged care facilities. We can't wait to see where the road ahead could take us with BeneBox!
Built With
adobe-illustrator
adobe-spark
html
Try it out
github.com | GGC Team 5 - cSociety | Our idea is to create a Multimodal Therapeutic Box for the most vulnerable members of society who are isolated and lack human contact. We combine science, addressing basic needs and altruism. | ['Vikram Sondergaard', 'Eszter-Reka Kocsis', 'Natasha Dahiya', 'Genie Phitchaporn Wungsukit'] | [] | ['adobe-illustrator', 'adobe-spark', 'html'] | 17 |
10,292 | https://devpost.com/software/ggc-team-2easy-agreement-o7bzmq | Final Design
First Attempt Circa June 30th
Initial Concept Generation of Design
Inspiration
We are a team of students from different countries with the goal of alleviating the challenges of the COVID-19 crisis. Whether we create new inventions or contribute to existing platforms, such as YouTube, the goal is to help people get through the hardships. There were many ideas brought up during our discussions; during one of our banters, we agreed that surgical masks were uncomfortable to wear. This gave us the idea to redesign what a face mask should be. We settled on our design philosophy to provide safety and normalcy to our customers. In addition, we want to help the healthcare workers who risk their lives to save others. 10% of healthcare professionals are COVID-19 patients which tells a lot about the effectiveness of our equipment.
What it does
The face mask has been transformed into a respirator with an attachment to include eyewear and goggles. The current prototype uses bolts on the side of the mask to attach rubbers that will keep the parts together. The face mask combines the protective surface area of face shields with the close seal that the face masks provide. Using a filter inside the respirator, the product can block 95% of COVID-19 aerosol and droplets. The goggles provide additional protection from the disease. Further design improvements would include durable straps to tighten around the head, silicon mold that conform to a person's face, and a redesign of the safety goggles for those who wear glasses.
How We built it
This idea would have never come true without the support and guidance of the Hacker Exchange and those who run it. The 3D model that Steven created was built in SolidWorks, and all accompanying animations and screenshots were created within the same program. The design was loosely inspired by existing respirator designs, but ergonomic features, such as easy-attachments, were unique to competing products. While his's contributions are apparent, it is easy to forget that a lot of time and effort was put into formulating a plan. Many design iterations were scrapped and repurposed, but in the end, his's creativity shined for this project. The Mubin's website provided important empirical about COVID-19 cases nearby through his experience as a front end developer and data analyst. He is the backbone of the team and works extremely hard to execute plans. His reliability is the hallmark of his character, and viewers will be awed by his combined skills as a coder and analytical prowess. The team could not have explored this idea without George's marketing research, and interpersonal skills. The core idea of tis project was conjectured by him during a late night discussion of potential ideas. Surveys were conducted in convenience stores to learn about what the lower-to-middle economic bracket had to say. His connection to hospitals also gave us some valuable answers about the concerns within the healthcare department. He is the vision of the team and will pursue a great idea when he sees it. Sasha was the glue for the team and provided a go-getter mentality. She combined her business/marketing tactics and photo editing skills to create the identity of 2Easy by rebranding it to Spiro. Her ability to shift the team's mentality and aesthetic direction on the Wix website shows the sign of a great teammate. Spiro is the Latin word for 'breathe,' and this motto resonates with all of us.
Challenges We ran into
Mubin and Steven both had solid ideas for a project. Unfortunately, it took us 3 days to decide on which one to pursue.
Accomplishments that We're proud of
George: just proud of the fact that we could pump out this in such a short period of time. Literally being a group of strangers 5 days ago and being able to come together in a cohesive way and work across timezones. Something that I've never done before and just digesting the sheer amount of new content as well was a good experience.
Mubin: very fortunate to be a part of something special! Proud of the fact The team was able to build a working interactive dashboard in just under 2 days! Also stoked we could get over 50 responses in our survey, giving us really good data to work off of and create our final design!
Sasha: honestly like being able to present something after just a few days. I’m also proud of the team, we pulled it together and have like a solid biz with successful prototypes that encapsulates what we’re making.Going from “masks are annoying and single use” to this folder full of really cool things, a developed biz and prototypes, is pretty a pretty huge achievement. Imagine what y’all could do with more time!
Steven: We made it to the end, and there's nobody who can discredit our efforts.
What We learned
The real treasure was the friends/linkedin connections we made along the way.
What's next for Team 2Easy
We will tackle future challenges with even more gusto than before!
Built With
google-form
love-and-care
r
shiny
solidworks
Try it out
yourlocalalchemist.wixsite.com
mubin.shinyapps.io | GGC Team 2 - 2Easy | With a booming face mask market, you deserve a higher quality product. What's the point of wearing something that isn't going to protect you. 2Easy's transformative design does what others couldn't | ['Guanqiao Wang', 'Mubin Kazi', 'sasha whittle', 'Steven Luyapan'] | [] | ['google-form', 'love-and-care', 'r', 'shiny', 'solidworks'] | 18 |
10,292 | https://devpost.com/software/team-iwa | Inspiration
What it does
-
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for
Built With
none | - | - | [] | [] | ['none'] | 19 |
10,293 | https://devpost.com/software/slurpanize | The official logo of slurpanize
The landing page where is possibile to start the journeys
An order chat
Great! My Pizza is ready!
The Italian taste
Inspiration
Food is not only a primary necessity, but carries culture, history and a lot of research. We are passionate about food, we love to prepare our own meals and to taste new flavours in local festivals, that here in Italy are so frequent and sweet. Above all, we love to visit motorcycle fairs and beer fairs, and the problems are always the same: you are hungry and you have to choose between a large number of food trucks (that is good!) with huge wait lines (that is bad), make a line for food, another line for drinks, and finally search for a table or consume your food nearly cold standing up with the motorcycle helmet in one hand.
So we thought: how can we
improve the experience
both for the customers and for the food trucks?
As a customer, i would like to:
have a
complete menu with prices in my hand
, without running from a truck to another;
do not wait in line
, i would prefer to continue visiting the fair or search a calm spot where to eat;
pay electronically
, i would prefer using the payment gateway of the vendor of my phone, like Apple Pay or Google Pay;
use a web app
, because i don’t want to install a new app on my smartphone;
don’t create another account
for this service, just let me order my food please, and don’t ask me to agree for the cookies.
As a food truck manager i would like to:
not manage cash
to avoid human errors;
have an
ordered list of orders
, with an easy way to manage quantities for group ordinations.
For both of them, i would like to see a
fast application with real time updates
.
Bonus: in these times of social distancing, every technology that eases the return to a normal life with the necessary distance between humans permits to have happy customers (that will buy from the food truck with confidence) and happy truck managers (that don’t have to vigilate on the distance between the persons waiting in line).
What it does
Starting from these user stories, we have conceived Slurpanize, a
white-label
platform that is a meeting point between the needs for more comfort by the customers, and for more control by the truck managers.
It serves the customers giving them an easy and private way to interact: there is no need to install another app or create another account, because the user is managed by a Telegram bot. With the help of the bot, the customer reaches the menu page, selects what to buy spawning between multiple food trucks, pays with his smartphone in the chat and waits the notifications by the different food trucks that update the order status.
Our attention points for the user have been:
Give the user the
right tool for the right action
to do. The Telegram bot serves as an entry point to aknowledge the user, then he is redirected to a web application that is the right medium to display and manage complex information like long lists, researches and user actions. At the moment of the confirmation of the order there is no more the need of a complex interface, and the user is seamlessy redirected to the Telegram bot that will handle the payment. The bot continue to be useful providing the notification channel between the users and the trucks;
Reactivity and fastness
. The Quarkus framework is the right choice to achieve a really fast and robust backend;
Officiality
. The user never knows about “Slurpanize” because he sees only the name of the fair (or the food truck) that he is visiting. Our platform is deployed on Kubernetes, and we can create one environment for each festival or truck, giving them a tool to be more recognizable for their customers.
By the side of food trucks, Slurpanize gives a web dashboard with every order, its status and the actions to do to notify the users about every change. The food truck managers can have multiple smartphones and tablets at their service (for example, one for the kitchen side and one for the cash desk), and every terminal presents the updated status, thanks to real time messages streamed by the server. The food trucks will receive orders displaying them on their dashboard, knowing that they are already paid, pack the order notifying the customer that the preparation is ongoing, and finally hand over the order to the customer.
Our attention points for the food trucks have been:
Real time updates
. If the truck managers need more terminals to manage their orders, they can have! We have used the Stomp protocol to dispatch real time messages between the clients.
Orders’ organization
. The dashboard is divided to display the orders by their status, so that who delivers the orders to the customers sees only the orders ready to be delivered.
Payment management
. The trucks don’t need to handle cash, because is all managed by the bot, speeding the order process and avoiding human errors.
Festival or single truck?
Both!
We have created a system that can be used by a festival (that is a group of trucks) or by a single truck.
How we built it
The entire backend project is built on top on the latest versions of these libraries and frameworks:
The
Quarkus
framework is the core of the project;
Telegram bot library
offers an abstraction layer from the basic Telegram communication protocol and messages;
Artemis ActiveMQ
for delivering messages into the application and dispatching them via websocket;
Kubernetes
works as abstraction layer and deployment system;
GitLab
is used not only as project repository, but also for automatically-built docker images
for being hosted on the kubernetes cluster;
PostgreSQL
with reactive drivers for data storage.
Architecture
The main purpose of the application requires that the backend reacts to each user input in no-time. This goal
is reachable by using the main characteristics of Quarkus framework: reactivity and asynchronicity.
The architecture of
Slurpanize Backend Services
project is divided into two main parts:
Rest API part: serves the data to the web application giving and transforming them from the database or external interactions;
Reactive messaging: uses event bus, SmallRye reactive messages and websocket to give to the users
real-time feedback about what happens to their orders.
The RestAPI application follows these steps to reach the goal:
a controller's endpoint receives an HTTP call from the frontend application;
transforms this request in an
Uni
or
Multi
object of the Mutiny reactivity stream;
the reactive object built above fires the "on-item" event. This is linked to a public method in its service class
(because the project is structured to have a service that accomplishes a specific task);
the service is a collection of functions that interact with the database in a sort of chain of functions.
This chain is built in a sequence of callbacks that are called with
then
methods available by
Mutiny
structure;
once the chain finishes its task, the main method of the service maps the data in the object ready for being
transformed into a JSON that is sent as response from the action's controller.
These steps use the Mutiny functions chaining: in this way is possible to call various steps without
blocking the process.
The other part of the project uses reactive streams in different forms and approaches:
in memory
vertx
eventBus
is being used for streaming data between beans: in this way is possible to call various
parts of code without injecting beans or is possible to emit same event that fires parallel tasks. For example, eventBus
message is used for sending a message with Telegram's Bot and, in the same time, the merchant receives the status update
in its back-office dashboard;
SmallRye reactive messages
, in combination with
ActiveMQ
, reacts to orders' change status and streams data in WebSockets;
WebSockets
are used for streaming data to back-office portals that merchants use for managing the orders.
The choice of
Artemis ActiveMQ
has been lead by accomplishing the data knowledge sharing between PODs in Kubernetes
cluster.
Having the application deployed on multiple pods generates a problem of connection between the client web app and the PODs:
if there are multiple clients, is probable that they are not connected to the same pod, they will not share the same channel
for the fired events, and this generates a missing passage of information if a simple websocket is used.
Instead with the introduction of
ActiveMQ
, when a merchant changes an order status, the frontend calls a POD in Kubernetes, this POD writes
the change into database, then streams a
ChangeOrderStatusEvent
into a queue for sharing the status change
between available PODs. If a merchant uses two or more terminals for managing the orders the fact that
the same message is streamed in a common line of communication permits to deliver the same message via all available PODs.
Moreover, the ActiveMQ permits to dispatch a message using
a queue that is fed by Slurpanize backend and consumed from the front-end application in form of Websocket (Stomp).
DevOps
The application is built and delivered using classical DevOps pipeline that guarantees an efficient approach
to application's deliver and testing.
In this process are involved these components:
Gitflow workflow: an approach where main git branch is used for delivering production-ready code with tags;
GitLab for versioning, building, and delivering the code; also is used as docker image registry;
Kubernetes Cluster to host, execute and manage the containers.
The scaffolded
Dockerfile
by Quarkus project generator is being modified to be executed in docker-in-docker (
DIND
)
environment. This permits to deliver Quarkus code in a GitLab pipeline. The build process is composed by these steps:
DIND environment is enabled by GitLab;
openJDK container image is used for building the "
build image
" where the project is being compiled;
into the previous image the project is compiled by using the native
maven wrapper
command;
the target image is built for hosting the services and uses the standard Dockerfile processes established by project scaffold;
the code built in "
build image
" is copied into target docker image;
the image is pushed in GitLab docker image registry.
Challenges we ran into
The project reserved us three major challenges:
we had an initial idea that we had to change because of the lack of time to develop that idea;
we had to try different protocols to manage the real time websocket, consuming some precious time;
We changed the frontend framework during the development because we needed more flexibility.
As persons and as developers, we believe that there are no problems but only
opportunities
, and managed to solve our challenges with constant collaboration and mutual support. We never talk about “wasted time”, because, as Edison, now we know how to not code things :)
Accomplishments that we're proud of
We are really proud of the system we developed to incorporate the build process into the pipeline with the use of Docker-in-docker.
Despite of the lack of online documentation, we succeeded to integrate a real time protocol (in this case ActiveMQ with Stomp) and taking advantage of its interoperability functions.
We have strengthened the knowledge of Quarkus taking advantage of the reactivity and the event management, developing an highly maintainable code.
We enjoyed every single moment of the development, including 3 weeks of sleepless nights :)
What we learned
This is not our first hackathon and we are experienced developers, but we find always something new to learn:
on the development side, Erika has developed for her first time a React application with hooks, and Davide deepened his knowledge of Quarkus and the DevOps side of it;
on the documentation side, we know that to grow in our career as developers we have to exercise a lot in the explanation of our ideas and projects, and we have taken the chance of this project to provide a good documentation.
What's next for Slurpanize
Having done some market researches in some local activities and knowing that the idea is evaluable for their business, the next steps for Slurpanize are:
to develop the merchant back office. We have only developed the managing order backoffice for the sake of demonstrating the framework capabilities, but we have to add the login part, the menu management, and the automatic provisioning of the application for the new merchants;
to review the UI with an expert. We already know that as developers is terribly hard to conceive the UI of an application, so we know for sure that we have made mistakes
to add more functionalities. We would like to add the waiting time to have the order prepared, to manage the internationalization and localization, and to take advantage of the Telegram bot functionality to start the bot sharing an invoice.
Built With
amqp
async
java
kubernetes
postgresql
quarkus
react
reactivity
scss
stompjs
telegram
Try it out
slurpanize.com | Slurpanize | Order from food festivals or street food trucks in Telegram bot: no accounts, apps and other stuff. Slurp-anize frictionless | ['Davide Di Domenico', 'Erika Gili'] | ['Best Overall', 'Best Kubernetes-native App'] | ['amqp', 'async', 'java', 'kubernetes', 'postgresql', 'quarkus', 'react', 'reactivity', 'scss', 'stompjs', 'telegram'] | 0 |
10,293 | https://devpost.com/software/brightact-app-againt-domestic-violence | The Inspiration
The idea originated from the insight of team founder Sofie Wahlström that there is no way to contact 112, Swedish SOS without calling. SOS is now receiving about 500.000 “pocket dials” every year, just in Sweden. There is almost no way of telling if the call came from a victim or a pocket dial.
The public sector and non-profits struggle to distribute and allocate funds between organizations. From working in the public sector, Sofie has experienced first hand the problem of municipalities and authorities being locked into the siloed architecture of the organization. It is almost impossible today for the organizations to cooperate to help an individual, distribute personal journals, and to communicate securely between departments.
Today many of the public sector authorities still use fax, because it is the only safe way to distribute personal data according to GDPR.
These two insights gave rise to BrightAct.
We believe in people's
power to create impact.
BrightAct wants to bridge the gap between organizations. We
streamline and gather support
for victims of domestic violence. We are a platform supplier for governments and NGO´s with apps for the social protection of the inhabitants.
What we learned
During these past months of extensive market research we have learned:
*
“Every year, approximately 3,500 deaths related to intimate partner violence occur in the 27 member states (excluding Croatia) of the European Union alone, according to a study from the DAPHNE EU program.” * *
It is difficult to allocate data in other parts of the world and it is hard for scientists to do proper research on what's available. BrightAct wants to collect data for research to work preventatively.
*
“Based on extensive analysis of available data, the Council of Europe has estimated that the cost of violence against women amounts to an annual total of at least 33 billion euros across the Council’s 47 member States, including the financial burden of intervention, policing, healthcare and other services.”
**
*
“Witnessing domestic violence and growing up in an environment where violence takes place has a harmful effect on children’s behavioral, emotional and mental health and increases the risk of children suffering from post-traumatic stress symptoms, psychosomatic illnesses, attention deficit disorder, and low educational achievement.”
**
The initial findings of an EU-wide survey of 42,000 women by the European Agency for Fundamental Rights (FRA), due to be published in 2014, show that:
Four out of five women did not turn to any service, such as healthcare, social services, or victim support, following the most serious incidents of violence by people other than their partners.
Women who sought help were most likely to turn to medical services.
Two out of five women interviewed were unaware of laws or political initiatives in place to protect them in cases of domestic violence; half were not aware of any preventative laws or initiatives.
Over three-quarters of women think violence against women is common in their country.
-About half of the women interviewed indicated that they had avoided public or private situations because they were afraid they might be physically or sexually assaulted*
The COVID-19 outbreak is estimated by the UN to severely damage the work done on gender equality if we don't take action now. The increase in violence is going up rapidly during isolation due to social, economic, and emotional stress. In France alone, violence increased by 30% from lockdown 17th of march. Shelters and non-profits struggle to respond to all distress calls. And now reports are coming in from the whole world that increased violence is a growing problem. UN Women is calling it a shadow pandemic with urgent action needed to save lives. **
How we built it
The BrightAct architecture is carefully crafted to be as cost-efficient, scalable, and secure as possible. We are aiming to deploy a fleet of microservices using Java backends running on Quarkus. These applications will be deployed as containers on both GCP's Knative offering as well as AWS ECS Fargate. To provide a decoupled and horizontally scalable architecture, we have decided to use the event collaboration pattern. Where microservices publish domain events on to Apache Kafka, and other services react and orchestrate their workflow based on that. All of our microservices will be plugged into our CI/CD pipelines to allow for as much automation as possible.
For this hackathon, our main focus has been the development of BrigthAct Chat. A feature to help victims of domestic violence always find guidance and help from support organizations. For this, we have developed a scalable WebSocket and apache kafka driven chat application which is deployed on AWS ECS Fargate. The chat application publishes and listens to messages from Kafka, and stores metrics and accumulated credits to DynamoDB.
We have approval from the Swedish Agency for Digital Government and the Swedish Minister for Energy and Digital Development, Anders Ygeman, praising our innovative approach to cooperation and for our advanced technology platform solving an actual need in society.
On top of that, according to the EU Commission, Sweden has been named the EU innovation leader in 2020. The Global Innovation Index states Sweden as no 2 most innovative in the world. Sweden has a strong social model that we aim to scale globally. ***
The BrightAct Domestic Violence App
In the app we offer:
**Chat - **The victim can get support from non-profits and authorities to get personified advice and professional help.
In the chat, we use tokens to pay the NGO´s to respond to the distress calls, to give them a more stable income depending on how much response they give to victims.
The tokens can be used to buy features on the platform or to withdraw to pay for their expenses outside of the platform.
**Branded Profile - **Nonprofits and the public sector receive a customizable branded profile with information about their organization as well as secure access to the BrightAct chat.
**Report Incidents - **The victim can build strong legal cases in court and get access to the safe storage of important documentation in the cloud.
**Legal Advice - **The victim can chat with experienced lawyers connected to the database and learn about legal and juridical routines through easily understandable educational modules.
**Micro-Learning - **The victim can educate themselves about types of violence through gamified educational modules with content from trusted non-profits and authorities.
**Questionnaires - **Forms connected to gamified education with exercises created by researchers and psychologists to connect with feelings and for increased self-awareness.
The BrightAct Platform
Our platform helps the public sector and nonprofits come together to support the victims. A new unique solution to solve the problems with collaboration across borders and overlapping organizations.
Taking care of the need of statistics for research, and
prevention strategies
for the public sector. Building
sustainable communities
out of a
scalable solution.
This is a whole new way of working with the allocation of public resources and volunteer organizations together in one application.
Everything gathered, as a safety net to fall into.
The BrightAct Cloud & Database
We have a reusable and modular architecture with open data. It is a mobile app for iPhone and Android. The app is built with security in mind, having a hidden entrance and end to end encryption. The app is built using Flutter in the dart, some kotlin, and some swift. There is a backend built in Java running in a container saving its data to an AWS-dynamodb instance. We are also offering a web interface to support cooperation. The app is GDPR compliant.
Potential Value to Non-Profits
Now it is more important than ever to digitalize and streamline the help that is given to the citizens of the world, with an increased need to address the issue of domestic violence on a global scale. Violence can happen to anyone, anywhere.
This is one of many reasons we want to offer the
chat system free of charge for the smaller support organizations,
as many of them don't have the resources to buy a system. And at times have limited support from Governments and Authorities to provide needed resources.
We offer a
scalable and easy to use product
where the non-profits can allocate both funds and support the inhabitants, we add traction by gathering many organizations into one location. It is a great opportunity for smaller organizations to find the specific type of victims that their non-profit is capable of supporting and at the same time earning tokens for helping and answering distress messages.
We are also looking forward to being able to deliver a
global support system,
no matter where you are in the world. It will always be someone online able to support you. If the help in your country is offline, you can pick to chat with an organization in another country where the operator can write in your language or choose to write in English if that's not your first language.
Potential Value to Public Sector
We are collaborating with the Swedish government, county governments and help organizations to adjust the product to the market. As well as with Gävle University in Sweden for research.
For authorities, we have API and possibilities for users to **share documents with police and public prosecution authority. **This also makes it possible for the police to look for the occurrence of data in our database if someone is reported as missing to find a possible suspect.
Value of AWS
Amazon Web Services provides tremendous value for the vision of BrightAct. We are able to quickly provision our infrastructure using infrastructure-as-code and we will easily be able to scale out globally when the time arrives. All this without having to pay for any up-front infrastructure, compute or storage costs. Thus, we have maximum flexibility when developing and testing our environments, we can scale horizontally using serverless offerings so we only pay for the compute we actually need.
AWS has during prior hackathons also endorser our cause and provided us with AWS credits to help us in building the BrightAct infrastructure, which has been of tremendous value.
The Team
- Sofie
works within
IT and innovation
in municipalities and has direct insight into what is needed to push the public sector into the next steps of digitalization. She used to work with platform sales to municipalities and county governments before entering the public sector.
-Hassan
brings insights from his senior role as a
full-stack developer
for big companies and complex architecture. Always humble and willing to test the boundaries of what we can create.
-Elinor
with a solid background of
UI and UX design
for help organizations and psychological support apps have the perfect angle for seeing what the user needs and what we need to accomplish to fulfill the user's needs when it comes to design.
We also have 10 fantastic volunteers supporting us to reach help organizations globally as well as establishing key partnerships with scientists and universities when needed.
Together we are BrightAct.
Challenges we faced
For this challenge, we found out about the AWS Buildathon late in the submission period. We have done our best to continue our original development plan and as well as highlighting the Amazon features. We have received help from Amazon in Sweden to adjust AWS to our needs.
It is challenging to organize non-profits and authorities to work together. We are
transforming processes
to help victims in a new effective way. We already have many shelters and non-profits joining efforts to make streamlined collaboration happen. They assist us with testing and product development, to adjust the platform to their needs.
We find it challenging to understand how different legislations about storage and data privacy work in different countries. Here we had to contact legal advice for input on how to scale and operate globally.
As a team, we have never met,
just talked online and over the phone. This is challenging in many ways, but since the people are dedicated to finding a solution, things fall into place quite easily.
Accomplishments we are proud of
We are building a platform that can
scale internationally,
independent of legislation and legal demands. Since everything is built in an agile and modular way we can scale fast and big.
We already started collaborations with
Save the Children, Non-Violence Foundation,
and are getting help from
UN Women SF
to get the app released in the U.S. It tells us a lot about the need for this app. We have gotten a lot of traction in a short amount of time.
We have also gotten a lot of attention in
Swedish media,
and we can see the huge need for this platform and application globally.
We are delivering service, support, and possibilities to save lives.
It needs to be seen, in what we do and what we say and how we act. With respect and a strong sense of community. Where differences are welcome and innovation is key.
Testimonials regarding BrightAct
"There is a dire need to stem the global pandemic of domestic violence. Bright Act offers a unique digital platform that both supports and increases the protection of the victims as well as services the societal institution's responsibility to act in the best interest of the victims".**
Rolf Skjoldebrand, Co-Founder, The Non-violence Project Foundation
https://nonviolence.com/
**“This application is a new tool with life-saving qualities, for the victim in a discreet yet simple way to give them options that they only can dream about today. The app also gives them opportunities if or when the process turns into a police matter, and will, with do doubt lead to more verdicts against abusers. The documentation fills an enormous gap in the system today.
I never got healthcare, the violence was never documented and it was one person's word against another's. BrightAct fulfills a need of the individuals subjected to violence that I see a huge need for. Hundreds of women subjected to violence are contacting me to get help and support, the app would help them a lot. BrightAct is an initiative that has been needed for a long time and now, finally, is giving a solution to the people subjected to violence.”**
Izabelle Åman, BrightAct Ambassador, Author, and Survivor
What's next for BrightAct
We are piloting in Sweden right now, in the city of Helsingborg.
To release the product to the market locally in Sweden after evaluation of the Swedish data protection agency. We want to release the app to the public within 4 weeks.
After the release in Sweden, we are going to start collaborations and release the app in Germany. We are already in contact with around 50-60 potential public sector and NGO customers globally.
Website:
link
References: *
link
**
link
*** [link](
https://www.wipo.int/pressroom/en/articles/2019/article_0008.html?utm_source=WIPO+Newsletters&utm_campaign=e16ff695d9-EMAIL_CAMPAIGN_2019_07_23_05_27&utm_medium=email&utm_term=0_bcb3de19b4-e16ff695d9-256675501
Built With
amazon-dynamodb
amazon-web-services
echarts
gcp
kafka
knative
kubernetes
quarkus
websockets
Try it out
www.github.com | BrightAct app againt domestic violence | We streamline and gather support for victims of domestic violence, easy to find, & safe.Collaborative platform supplier for governments and NGO´s with apps for social protection of the inhabitants. | ['Hassan Nazar', 'sofie Wahlström', 'Elinor Samuelsson'] | ['Best Serverless App'] | ['amazon-dynamodb', 'amazon-web-services', 'echarts', 'gcp', 'kafka', 'knative', 'kubernetes', 'quarkus', 'websockets'] | 1 |
10,293 | https://devpost.com/software/mikro-minyma | Architecture
Inspiration
Health IoT is ubiquitous now. Cell phones, bracelets, watches, rings, and many other devices are constantly capturing health telemetry. The amount of data and the variance in formats and content call for a highly scalable and modern software stack.
For example, PGA golfer nick Watney noticed that his respitory rate was higher than normal overnight which resulted in his seeking a Covid test and testing positive.
https://www.whoop.com/thelocker/podcast-80-pro-golfer-nick-watney-covid-19/
Automation tools like business rules and business processes could be used to monitor and take automated action based on health data from IoT devices. Including capturing device data like that information that triggered Watney's positive test.
Quarkus is uniquely situated to process this data and in some cases provides the only native capability I know to perform the task. Business rules and bpm in a serverless microservice is an incredibly powerful and unique pattern delivered by Quarkus and Kogito.
The ability to deploy fast serverless microservices is key since the health data is bursty depending on user connections and time of day. And the ability to integrate business rules into that same architecture via Kogito is something that no other framework can provide in serverless environment out of the box.
What it does
The objective of the architecture is to create an efficient, serverless, and rules driven architecture
that can be used to process health data telemetry from a wide array of devices and health data ecosystems and unify those diverse sources to allow for common processing and actions within a given population.
A rules driven approach gives enterprises the ability to customize data processing
via decision tables (and in the future via business process management notation). Coupled with a serverless architecture allows for rapid deployment of new capability on Quarkus with little or no code changes.
For the Hackathon the system provides integration to a single source of health data in Google Fit. The rules and dashboard are setup to handle alerts and data from multiple sources.
How I built it
From a technical perspective the goal of the architecture is to create a set of services that allow an enterprise to process a diverse set of health data telemetry, evaluate that data in a highly customizable way (business rules and decision tables), and to take action and evaluate the data in a common environment. Quarkus enables those goals with out of the box serverless functionality and through integration with Kogito.
The population health architecture is composed of three services.
Health Extract Transform and Load (ETL)
Processes raw IoT device data and normalizes for rules processing and API invocation in decision services
Can be run in serverless mode with scheduled (pull) or event driven invocation (push)
Serverless Decision Services
The decision services is a Quarkus and Kogito microservice that executes business rules against API invocation from Health ETL or other actors who meet the API contract.
Decision services can be run in a serverless mode. The default implementation takes advantage of the amazon-lambda-http Quarkus implementation to allow the function to execute based on event invocation
Baseline rules are built using Excel based decision tables for easy consumption from business users
Population Health Dashboard
The population health dashboard is a Quarkus microservice that exposes the results of rule invocation in the Serverless Decision Services
In the default implementation the dashboard process Rewards and Alert data and exposes endpoints to store both
The dashboard takes advantage of the Quarkus ability to host a static site and exposes html and javascript via that capability using a bootstrap based dashboard
Challenges I ran into
There was a ton to learn! I ran into a few bugs in Quarkus and was able to open community issues for those. Getting Quarkus and Kogito to work correctly together in a serverless environment was especially challenging.
Integrating with Google Fit was also very difficult. The OAuth token flow for the Google APIs is ... challenging. However, I was able to use the Quarkus servlet capability and a servlet callback approach to fetch and store the refresh token.
Some bugs in Kogito were especially blocking.
Accomplishments that I'm proud of
I am especially proud of the fact that I was able to submit and get a PR merged to the Quarkus source. It is a small change but I hadn't used Quarkus a month ago and now I've got code in the source (about 3 lines).
Getting the end to end flow from Google Fit all the way to the dashboard in the period of time available I also think is a great accomplishment.
Using the Panache entity flow for fast persistence was also a great achievement and a great tool. The data storage for rewards and alerts was accomplished in an afternoon because of the efficiency of this tool.
Finally, this is the first lambda I've deployed to AWS and getting that running and live including Kogito and Quarkus was a great milestone in the project.
What I learned
Quarkus rest client
Quarkus lambdas
Quarkus Panache
Building native images with Quarkus
Kogito
decision tables
Google API OAuth flow
Google FIT APIs
What's next for Population Health
A service to automatically generate and deploy a lambda based on a user provided decision table (no code lambdas with Quarkus. Airtable raised $170M with less ;) )
Add authentication and protected endpoints
Integrate the dashboard APIs and expose the full range of APIs for the charts
Expand the integration to include more data from more devices
Refactor some of the rest client and model code to be shared across the services (learned this during the flow)
Rebuild the dashboard in a modern JS framework
Enhanced data input and data structures for the decision services API
Built With
amazon-web-services
entando
kogito
kubernetes
lambda
quarkus
react
rest
Try it out
github.com
popluation-health.github.io | Population Health IoT | A serverless quarkus architecture for decision making using business rules and IoT health data | ['Joe White'] | ['Best IoT App'] | ['amazon-web-services', 'entando', 'kogito', 'kubernetes', 'lambda', 'quarkus', 'react', 'rest'] | 2 |
10,293 | https://devpost.com/software/weblith-io | Displaying a form with some Freemarker tags
Form managed by only a few lines of codes
Displaying a table with some Freemarker tags
A login page, based on a secondary template
Or yet more fancy things...
Also with only some lines of code
Inspiration
Weblith.io
is a 2-year old internal framework derived from others like Ninja, Spring Boot and MangooIO. It is based on stable well-known libraries : Google Guice, Lightbend Config, Undertow, Hibernate ORM, Hibernate Validator, Jackson, Freemarker... The hackathon was giving a chance to try replacing some libraries with Quarkus.
What it does
It manages all the concepts of plain "old fashioned" web application : paths/pages, form submission and validation, client-side sessions (cookies), i18n, templating... But also offer a large set of reusable UI components. As Quarkus, it focusses on writing less code for common tasks.
You'll find the complete description on the
GitHub README
.
How I built it
I first looked at Qute (and even send my first PR) to see if I could afford to write again all our components. But it was not a viable solution, so I took the concepts of the initial framework and the existing UI components I had to write this project.
Challenges I ran into
It was really hard to understand how to writer a clean extension. I got a lot of informations simply by searching in the whole Quarkus code base. I also had to make some digging into Reasteasy's way of working to be able to rewrite Weblith's initial ideas, originally based on Undertow blocking handler (without servlet support).
Accomplishments that I'm proud of
I was able to get rid of 50% of the boilerplate code in the core project. All the config, server and CDI parts are no anymore needed. The restart time is now around .5 to 2 seconds ; when it was around 5 to 7 secondes before, essentially due to Hibernate + Google Guice boostrap phases.
What I learned
A lot about the internal way of working of Quarkus ;-)
What's next for Weblith.io
I must see if it can be finalized and stable for our production projects. There is style a place for small or mid-range project based on serverside rendered web application... Should it be made with Quarkus, even if it's not native or reactive? Probably. There are other clear advantages to have a Quarkus based application.
Built With
fomantic-ui
freemarker
Try it out
my-weblith.cleverapps.io | Weblith.io | Weblith is a set of Quarkus extensions and a library of UI components that focus on the rapid creation of server-side rendered web applications. It adresses paths, forms, validation, i18n, and more ! | ['J Lannoy'] | ['Best Modernized App'] | ['fomantic-ui', 'freemarker'] | 3 |
10,293 | https://devpost.com/software/jobrunr | Inspiration
For a long time, I found it difficult to enqueue long-running background jobs in Java without generating extra load on my webserver serving end-users.
You had to implement all kind of interfaces, scaling was not easy, monitoring these background jobs often required extra tooling, ... .
What it does
JobRunr allows you to enqueue a long-running background job using only a Java 8 lambda!
An example:
BackgroundJob.enqueue(() -> System.out.println("This can run on another server"));
Or
BackgroundJob.scheduleRecurringly(() -> System.out.println("This can run on another server"), daily());
When you enqueue a new job, JobRunr analyses your lambda and transforms it to readable Json which is stored either in a SQL or NoSQL database.
You can create thousands of jobs and if processing takes too long, you can just scale horizontally - all the background job servers will take jobs of the queue and process them in parallel.
How I built it
It's built using standard Java 8 and I'm using the ASM library to analyse the bytecode of the actual job.
Challenges I ran into
I did not know a lot about the Java Virtual Machine Instruction set and analyzing the lambda so that it can be transformed to Json was not trivial.
JobRunr also supports all kind of json libraries, incuding JSON-B, Jackson and Gson. Supporting all these libraries was not easy as they each have their advantages and drawbacks.
The difficult part to make JobRunr work on Quarkus is my use of the
SerializedLambda
which is not working in GraalVM. I do however have a workaround using a Quarkus Extension so that it runs on GraalVM.
Accomplishments that I'm proud of
Some end-users that reached out and are happily using JobRunr.
What's next for JobRunr
A lot of new features, including job chaining, ...!
Built With
java
kubernetes
Try it out
github.com
github.com | JobRunr | JobRunr is a distributed job scheduling library which utilizes lambdas for fire-and-forget, delayed and recurring jobs. BackgroundJob.enqueue(() -> System.out.println("This runs on another server")); | ['Ronald Dehuysser'] | [] | ['java', 'kubernetes'] | 4 |
10,293 | https://devpost.com/software/quarkus-spring-data-jpa-integration-no-api-no-panache | Inspiration
Last month I started the task of migrating our service layer based largely on Spring Boot (and some on Wildfly).
In both cases there is a set of common technologies (standards or pseudo standards such as Spring Data) that are common to both developments (Spring Data Jpa is used as a pseudo standard in addition to JAX-RS, JPA, JWT, OAUTH, etc).
Taking one of the most critical services, the work to recondition the services was greater than desired due to the already known limitations of
Quarkus Spring Data Jpa Api Extension
(for example, @Query and named queries is common in this technology).
Also, on my journey, I stumbled across some minor issues until I reached a critical one (
https://github.com/quarkusio/quarkus/issues/9357
) that affects queries with
Slice
return types in performance.
Given these limitations that prevent having a single source compatible with both services, I began the development of this extension in order to provide a reliable and fully compatible solution that allows Quarkus to also be passed at a minimum cost and to be able to develop and new services on the same platform but with Panache in place (which is expected to be more optimal and the default solution despite its differences with Spring Data). This extension will allow the code to be migrated almost without any necessary modifications regarding the persistence layer and opens the door to quickly include the rest of the extensions of the Spring Data family (ElasticSearch, Mongo, Jdbc, etc!).
What it does
It integrates a version of Spring Data Jpa with some small improvements for better CDI compatibility that I have made (although nowadays with the latest changes that Spring Data has been incorporating it is possible to also use the main branch directly).
In this way it is possible to have all the functionalities and behaviors that this tool has without emulations or alternative implementations that no matter how good they are, no matter how much effort it takes, maintenance is usually really hard.
How I built it
Create an extension by following the tutorials and available documentation, navigate the quarkus code and the existing extensions trying to understand some concepts. In fact it is a first version, a starting point, with the help of the community if this project is well received, I can improve the performance with static generation of certain configurations and optimize performance.
I developed more than 300 tests to check the different functionalities and the correct operation of the framework, covering things like multiple configurations, read, write, delete, projections, late loading, transactions, common interfaces, different ways of creating queries like @Query , query methods, SimpleJpaRepository implementation, Custom base repositories, Persistables, Fragments, etc.
Challenges I ran into
Develop my first quarkus extension. Understand the handling of classloaders and compilation stages, and many other concepts that I still have to improve.
And of course, migrate a typical project with Spring Data Jpa without having to touch anything other than configuration!
Accomplishments that I'm proud of
Get the integration working great!
Migrate a complete project in only minutes!!!
Support all the functionalities that were not yet supported by the current extension (Spring Data Jpa API)!
Open the possibilities (if the community and this project is well received), to continue improving it and implementing the complete Spring Data Stack for those who don't want to wait to migrate their stack to Quarkus!
Learn how to make my first Quarkus extension!
What I learned
That the development of the Quarkus extensions, while more complex than CDI, has amazing power ...
The Quarkus team has been very helpful in Zulip and Gitlab to understand some events that one is unaware of.
What's next for Quarkus Spring Data Jpa Integration (no Api / no Panache)
Perform an optimization stage and start using it to migrate services.
Then if this project is well received, continue integrating the rest of the Spring Data stack projects (Jdbc, Mongo, ElasticSearch, etc).
Built With
hibernate
java
jdk11
jpa
quarkus
spring-data
spring-data-jpa
Try it out
github.com | Quarkus Spring Data Jpa Integration (no Api / no Panache) | If Spring Data compatibility is not enough for you, don't wait any longer! start migrating your services with Spring Data Jpa Integration (fully compatible now) and start the new ones in Panache! | ['Ariel Carrera'] | [] | ['hibernate', 'java', 'jdk11', 'jpa', 'quarkus', 'spring-data', 'spring-data-jpa'] | 5 |
10,293 | https://devpost.com/software/mytravel | Add new flight - post request
Search flight - get request
Book flight - post request
Trip - post request
Architecture of the application
Inspiration
We are working on microservices and deploying onto openshift. Pretty facinated by Quarkus.
What it does
This is a travel based application which helps the user to plan their trip and book the flights, hotels etc.
How we built it
We thought of this application, designed the microservices based on domain driven design. Used eclipse IDE for the development.
Challenges we ran into
Blocking calls for database update after receiving the message on kafka. This took longer time.
Accomplishments that we're proud of
We could develop this within a short period of time.
What we learned
Extensions of Quarus. Learning Apache Quarkus Camel Project.
What's next for MyTravel
Complete the bff component using Apache Camel, UI component using Angular js, develop the microservice for hotels also. Add JWT feature for securing the microservices. Add serverless components for flight and hotel crud operations. Finally develop the application for mobile app.
Built With
hibernate-orm
kafka
quarkus
rest-json | Voyage | This is a travel based application where the user can plan they travel by booking flights, hotels etc. Current implementation has been able to just focus on flight reservation. | ['Rohith Sharma', 'Bhagyashree J'] | [] | ['hibernate-orm', 'kafka', 'quarkus', 'rest-json'] | 6 |
10,293 | https://devpost.com/software/crunchers | Inspiration
How to maintain the profit margin and keep the business running by optimizing the technical infrastructure in times of covid-19.
A local businessman approached us with a scenario in which number of request to his server is very limited in terms of server hit.
What it does
This application is deployed in a serverless container environment so that instance will get up and server the request on demand having a huge cost saving.
This application demonstrates a smaller portion of the bigger system. The application part submitted here is the one which is majorly responsible for huge saving by using quarkus.
Businessman's firm produces some electrical senors which need one time activation before use. This activation needs to be done in a very secure manner and as per local law to maintain high integrity and secrecy.
Before delivery, firm sends an OTP to the dealer registered number.
3.The Firm, also send the sends the registered Yubikey with the delivery executive along with the sensors.
4.On arrival at the dealer location, delivery boy gives the Yuikey along with the sensors to the dealer.
5.Now dealer need to get the activation code from the firm to use the sensors.
6.Dealer will make a call to the Firm's API will the OTP he received and the YuiKey generated password.
7.On validation the of the request, firm's serverless system sends the secret code of all the sensors delivered.
8.Delivey executive will return back with the Yukibey.
9.No of API calls for the codes from the dealer is maximum 10-15 in a day given the production constraints.
The scenario is that this business's firm produces sensitive electrical sensors which he sells to the dealers who put it in their end user equipment for retail purchase.
We take a use case in which a shopkeeper sell some hardware devices which require a secure code to start processing at very first time.This secure code will be validate at server but device sell count is low so it is wastage of money and resources to up server 24*7.
How we built it
We built this application as server less deployment app. Quarkus stack helped in avoiding the always running 24*7 server at the firm's location helping in huge cost saving .
Quarkus native image generation helped us to quickly create the native image for new deployment.
Quarkus optimized jpa , hibernate and other stack helped in quickly starting up the server.
3.Quarkus docker image is very easy to generate.
Challenges we ran into
Native image building on the windows OS is a huge task. We need to setup linux system after spending days to get the windows setup worked.
2.Openshift container creation is very painful process which takes lot of time.
Accomplishments that we're proud of
This was our first enterprise serverless app which we upgraded in just a few weeks.
Saving the employment of many people in covid19 crisis by optimizing the core system of the firm and completely eliminating the always running servers through this serverless app.
3.This is also of the major part which saved a huge money as per of firm's cost cutting measures .
What we learned
Quarkus :)
How easy it is to create serverless app for java developers. We experienced this.
How to have the faster startup and very less memory consumption.
4.How serverless can save money.
What's next for Crunchers
1.Educate and spread awarness of the Quarkus WOW factors within the java community.
Help other companies and business to move to serverless without any user experience degradation and at the same time saving on the infra and server cos and get powered by Quarkus.
Built With
hibernate-panache
java
mysql
quarkus
rest
spring | Crunchers | Fast, serverless and heavily cost optimized secure code delivery system | ['Q Theta', 'saksham srivastav'] | [] | ['hibernate-panache', 'java', 'mysql', 'quarkus', 'rest', 'spring'] | 7 |
10,293 | https://devpost.com/software/quarkus-on-helium | Inspiration
What it does
Quarkus-On-Helium
is an
IoT
integration of the
Quarkus
java stack and the
Helium Network
.
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for Quarkus-On-Helium
Try it out
bitbucket.org | Quarkus-On-Helium | Quarkus-On-Helium is an IoT integration of the Quarkus java stack and the Helium Network. | ['Warp Smith'] | [] | [] | 8 |
10,293 | https://devpost.com/software/test-dy4jlx | Overall technologies
UI (Empty list)
UI (List w/ classifications)
UI (Create classification)
UI (Create classification SSE notification)
UI (Classification detail)
UI (Delete classification)
Quarkus Classify (Overall architecture)
Classification request flow w/ example
Classification reply flow w/ example
Create classification flow (First step)
Create classification flow (Second step)
Create classification flow (Third step)
DER
Docker processes
Docker stats
Docker Registry
Kafka UI
Prometheus UI (Count metrics)
Prometheus UI (Time metrics)
Swagger UI (Documentation)
Situation:
On our team we work as an AGILE team with multidisciplinary skills. However, given its such a new field, machine learning applications are only developed by a restrict group of people. What this people have in knowledge of developing this specific type of applications, they sometimes lack in knowledge of building a highly-scalable application while addressing a wide variety of requirements such as security, testing, logging, observability, documentation and so on. For that reason we tried to use Quarkus framework to bridge both development pipelines.
Task:
Set up a full-fledged use case using Quarkus framework and its extensions with image classification as proof of concept since it's a well-known use of AI applications.
UI
- Provide a frontend interface for users to create, read or delete image classifications;
BE
- Provide a backend application with a REST API that handles UI requests and perform complex operations such as file upload, data persistence or messaging;
AI
- Provide a machine-learning application that is capable of processing images using Python scripting;
INFRASTRUCTURE
- Provide multiple technologies necessary for our use case such as Kafka, Prometheus & Jaeger.
Action:
We started by setting up our use case. We had two goals in our minds:
• Build a highly-scalable solution which aims to bring machine-learning applications to Java world;
• Show how easy is to use Quarkus and to integrate with other technologies by using its extensions.
Since machine-learning applications generally need a great ammount of time to perform, we decided to split up BE and AI concerns and communicate with each other using Kafka so it could outscale well. Our BE application aims to represent a more traditional Java application which runs on JVM and performs general operations using an imperative approach. On the other hand, our AI application aims to represent a new-world application combining Java and Python on same codebase, using reactive programming and acting as a serverless application by taking advantage of GraalVM native image and Knative resources. Finally, our UI application provides a simple way of interacting with our solution while also providing some neat notifications using Server-Sent Events (SSE).
Inspiration:
We were inspired by several blog posts and talks by Burr Sutter, Gunnar Morling, Edson Yanaga, Emmanuel Bernard & other great engineers from RedHat. Since we first heard about Quarkus we started thinking how could we use it in order to move towards the next wave on software development innovation. This hackaton served the purpose of exploring not only how can we use Quarkus ecossystem, but also on how can we take advantage of GraalVM and its native image and polyglot capabilities.
Learnt:
We learnt a lot. First and foremost, it was the first time we used Qute and its templating capabilities. Although it is on its early stages, it was quite pleasant to use. Second of all, we work on an environment where
Vert.x is our first-nature approach to every single challenge. What we learnt is that with Quarkus we can unify imperative programming with reactive programming and use abstractions like verticles and event bus. Last, but not least, we learnt that embedding Python in Java using GraalVM is REALLY on its initial stages, so it's very unlikely that any Python program that requires imports at all will work using this approach.
How we built:
We wanted to showcase an end to end use case to reinforce how useful Quarkus can be in different situations. For that reason, we mixed and matched with lots of other technologies:
Java, Python, Kafka, Debezium, Docker, Prometheus, Jaeger, RESTEasy, Jackson, Qute, Microprofile (Health, Metrics, OpenAPI, Tracing), SwaggerUI, Hibernate, Panache, PostgreSQL, JUnit, RESTAssured, Testcontainers, AWS S3, Vertx, GraalVM, Qute, Maven, Flyway, K8S and so on.
These were the requirements that we tried to address:
FE
:
• Create image classification; ✓
• Read one image classification; ✓
• Read all image classifications; ✓
• Delete one image classification; ✓
• Consume notifications (SSE); ✓
BE
:
• Build REST API: ✓
• Create image classification; ✓
• Read one image classification; ✓
• Read all image classifications; ✓
• Delete one image classification; ✓
• Read and persist data from database (PostgreSQL, Panache, Hibernate); ✓
• Upload files to external repository (AWS S3); ✓
• Asynchronous messaging (Microprofile, Kafka, Kafka Connect & Debezium); ✓
• Produce notifications (SSE); ✓
• Logging; ✓
• Tracing (Jaeger); ✓
• Health (Microprofile); ✓
• Documentation (Microprofile, OpenAPI, SwaggerUI); ✓
• Testing (JUnit 5, TestContainers, Flyway, RestAssured); ✓
• Metrics (OpenMetrics); ✓
• Run on Docker with JVM. ✓
AI
:
• Perform image classification: ✓
• Asynchronous messaging (Microprofile & Kafka); ✓
• Execute Python script (GraalVM Polyglot API); ✓
• Run on Native image (GraalVM Native Image). ✓
INFRASTRUCTURE
:
• Setup Kafka on Docker; ✓
• Setup Prometheus & Jaeger on Docker; ✓
• Setup UI, BE & AI applications on Docker; ✓
• Setup BE DB on Docker; ✓
• Apply Debezium connector on Kafka Connect cluster; ✓
• Register all images on Docker Hub; ✓
• Setup EC2 instance; x
• Setup K8S cluster; x
• Setup Kafka cluster on K8S; x
• Setup Prometheus & Jaeger on K8S; x
• Setup UI and BE as standard deployment on K8S; x
• Setup AI as a serverless deployment on K8S. x
Challenges:
We came across lots of challenges. We had to learn how to implement tons of requirements and know how to break through frustration when it occured. The two things that created the most discomfort were:
• Trying to setup a kubernetes environment with our solution (we had success running our Quarkus applications using Knative, but we didn't had time to deploy the remaining infrastructure such as Kafka);
• Execute Python scripts embedded on Java (we wanted to provide a complex script which could actually prove that we can shorten development time of production-ready machine-learning applications, but it's not possible using GraalVM polyglot and native image at this given time).
Improvements in the future:
• Move infrastructure to Kubernetes;
• Perform static code analysis and code coverage with Sonar.
Result:
We ended up with a very neat solution. It presents a well-implemented use case using a wide variety of technologies while showcasing Quarkus features such as:
• Container First (usage of Docker & K8s components, but also JVM and native image options);
• Unifies imperative and reactive (usage of both programming models in different applications);
• Developer joy (usage of unified configuration and native executable generation);
• Best of breed libraries and standards (mix and match with lots of technologies).
Built With
debezium
docker
graalvm
hibernate
jackson
jaeger
java
junit
kafkaconnect
maven
metrics
microprofile
openapi
openmetrics
opentracing
panache
postgresql
prometheus
python
qute
restassured
resteasy
s3
swagger
testcontainers
tracing)
vertx
Try it out
github.com | Quarkus Classify | Our goal is to shorten the development time of production-ready machine-learning applications | ['Francisco Lima', 'Gonçalo Martins'] | [] | ['debezium', 'docker', 'graalvm', 'hibernate', 'jackson', 'jaeger', 'java', 'junit', 'kafkaconnect', 'maven', 'metrics', 'microprofile', 'openapi', 'openmetrics', 'opentracing', 'panache', 'postgresql', 'prometheus', 'python', 'qute', 'restassured', 'resteasy', 's3', 'swagger', 'testcontainers', 'tracing)', 'vertx'] | 9 |
10,293 | https://devpost.com/software/imgbooth | Change the used camera from a JSF-based admin interface.
Take single shots or make a collage of 4 shots.
Inspiration
For my wife's birthday, I have been building a photobox (wooden box with camera and laptop inside) but struggled with the available software. There is no good open-source/free software. The one I used on the event was a commercial Windows-based application. It did it's job but did not offer a lot of choices I cared for. E.g. giving the user the option if he wants to take a single shot or make a series of 4 photos to produce a collage.
What it does
The software allows to drive a photobox by connecting a DSLR camera via the Gphoto2 library or a plain Webcam. It also allows to connect a photo-printer.
The main application runs full-screen in a browser and guides the user to take either a single shot or 4-photo-series.
Afterwards, the image (or generated collage) is presented to the user with a choice to print it on the connected printer.
Additionally, the software has a second Web-UI that allows to control the photobox. Currently, it allows to change the used camera or language settings. It is built as a Web-UI so it can be opened on a photo.
How I built it
I built the software as a combination of different technologies I always wanted to try to combine:
Quarkus-based backend that exposes restful interfaces to control the camera or download images
HTML4 / Lit-Html-based UI for the photobox frontend
JSF-based admin interface (using Quarkus MyFaces extension)
Challenges I ran into
The main challenge (and important requirement) currently is the performance of the preview-feed for the camera. The camera shows a live preview stream to the users. The GPhoto2 library allows to access the DSLR-cameras live-feed only by saving it to disk and then accessing it from there. For a stream/feed, this is a lot of IO and it would be better to stream it from the camera to memory.
I will try to experiment with using a ramdisk or if it is necessary to directly access the camera interface without GPhoto2.
The advantage of GPhoto2 is that it supports a lot of camera-types, but the delay of the feed on screen is noticeable; ~1-2 seconds.
Accomplishments that I'm proud of
I am proud of what i was able to achieve in a few days. I.e. bringing together the backend with a rather nice-looking frontend; and even get JSF working for the admin-interface.
What I learned
I learned a lot about Quarkus, LitHtml and that even nowadays, performance is important. The live-feed runs fine on my modern PC; but on the old laptop in the photobox, the software shows a noticable delay for the live-feed.
What's next for imgbooth
This is basically only a proof-of-concept at the current stage. It needs a lot of error-handling in the front-end and proof that is can run for a whole evening without constant monitoring (the admin interface will help with it though).
I might be setting it up on a neighborhood event next weekend to see how it performs.
The admin-interface still needs a simple way to restart the whole application so i dont have to fiddle with the laptop in the photobox directly.
Built With
java
javascript
jsf
quarkus
Try it out
github.com | imgbooth | ImgBooth is a software for photoboxes as seen on weddings/parties.It allows to drive a photobox from a PC connecting a camera (e.g. a Canon DSLR or Webcam) and a photo-printer (e.g. Canon Selphy). | ['Daniel Platz'] | [] | ['java', 'javascript', 'jsf', 'quarkus'] | 10 |
10,293 | https://devpost.com/software/quarkified-anaytics-platform | Backend System Architecture
Inspiration
I've heard about Quarkus maybe a year ago but never had enough free time to explore it more. I was on vacation when I saw information about this hackathon and I finally had some time to invest to learn more about Quarkus. Generally, I'm interested in microservices, data-intensive systems, and reactive programming, so I got the idea for Reactive Analytics Platform that will fuse all those stuff that I'm interested in.
What it does
Reactive Analytics Platform is a system that tracks user check-ins from specific locations and provides real-time statistics backed by Java, SmallRye, Quarkus, Postgres, Kafka, Kafka-Streams, and RocksDB following reactive principles.
How I built it
The platform is a system based on a distributed microservices architecture.
I wanted to incorporate as many as possible real-world patterns common in a microservices architecture like:
When and how to use Kafka, Kafka Streams, and Kafka State Stores.
How to communicate with other microservices via HTTP in a resilient way.
How to compose multiple asynchronous computations and in general how to implement service in a reactive manner from end to end.
The platform consists of multiple microservices:
Event Generator
is used to produce random events that represent user data. More details
here
.
Ingestion Service
is responsible for ingestion and aggregation of user data. More details
here
.
Location Service
is a service that contains details about locations. More details
here
.
Query Service
is used to query aggregated data and location details. More details
here
.
Dashboad UI
can be used to retrieve data from Query Service. More details
here
Challenges I ran into
I've never used reactive RDBMS client so I think that will be the biggest challenge, but official documentation is great so I haven't had any major issues. The biggest challenge for me was to build the frontend application with React.js since I'm not a frontend developer and had only one day to learn basics of React.js and implement a solution because I found out about this hackathon pretty late.
Accomplishments that I'm proud of
I've learned the basics of React.js and build frontend application in just a few hours because I needed it for my dashboards app. I'm most proud of the fact that all microservices that I've implemented are reactive from end to end.
What I learned
I've learned a new library for reactive programming - SmallRye-Mutiny and a lot of Quarkus plugins that take advantage of this library. As someone who comes from the Spring ecosystem and no Quarkus experience at all before this hackathon, I must admit that I'm amazed by startup time, how easy is to incorporate reactive programming into Quarkus applications, and generally the huge amount of Qurakus plugins. Working in quarkified environment was pretty productive and fact that how easy is to implement asynchronous HTTP APIs with it is pretty amazing. The most pleasant experience for me, as a every-day Kafka user, is Quarkus level of integration with Kafka and Kafka Streams.
What's next for Reactive Analytics Platfrom
The next step is to apply the outbox pattern on the location-service so every Location update will be published to Kafka topic which will be consumed by query-service and stored in a query-service database. Another improvement would be to implement Kafka Consumer in query-service that will consume check-in-aggregation topic directly and store those data on some distributed database like Cassandra. By doing this, I will completely remove the need for HTTP calls that are used in query-service to fetch data from ingestion and location service, which will make services loosely coupled, more fault-tolerant, and more performant since there is to need to contact external services to retrieve all data that is needed. Besides this, I plan to secure microservices and improve UI of web-ui service.
Built With
java
kafka
kafka-streams
postgresql
quarkus
rocksdb
smallrye
Try it out
github.com | Reactive Analytics Platfrom | Analytics platform that tracks user check-ins from specific locations and provides real-time statistics backed by Quarkus, Kafka and PostgreSQL | ['Aleksandar Skrbic'] | [] | ['java', 'kafka', 'kafka-streams', 'postgresql', 'quarkus', 'rocksdb', 'smallrye'] | 11 |
10,293 | https://devpost.com/software/es-web-analytics | Kibana Page Views Dashboard
The app migrated from Spring Boot to Quarkus JVM then Quarkus native
Base memory usage (docker stats)
Memory usage under load (docker stats)
Time to first response
Time to first response (Including Docker startup)
Inspiration
Originally, a similar solution based on Spring Boot was already being used by my website: simply-how.com.
In order to lower the startup time and reduce the memory footprint, I decided to migrate to Quarkus.
What it does
The core component of this solution is an API that tracks page views.
After receiving a request, the app parses the headers and query parameters, generates relevant data and sends the end result to Elasticsearch.
The app also sends performance data such as memory usage and garbage collection metrics to Elasticsearch.
The user can either use Kibana or another visualizations solution that supports Elasticsearch to display the page view and performance dashboards.
How I built it
The migration was done in three phases:
Extract the analytics micro-service from the simply-how.com back-end
Migrate the analytics solution to Quarkus JVM
Configure the app to support GraalVM native with Quarkus
I used Gradle to manage the build and dependencies and Github Actions to automate the build workflow and deploy to Docker Hub.
Challenges I ran into
The GraalVM native configuration was the most challenging part as it required the configuration of the Elasticsearch client with custom GraalVM substitutions.
Accomplishments that I'm proud of
The startup time was down from about 10 seconds to 1 second (or less without counting the Docker startup)
The memory footprint was reduced by more than 75%
What I learned
Quarkus makes it very easy to add support to GraalVM native image build to your app
What's next for ES Web Analytics
Analyze more data from the requests
Improve the prebuilt dashboard
Built With
docker
elasticsearch
graalvm
kibana
kotlin
quarkus
Try it out
github.com | ES Web Analytics | A fully customizable and private page view web analytics solution | ['Soufiane Sakhi'] | [] | ['docker', 'elasticsearch', 'graalvm', 'kibana', 'kotlin', 'quarkus'] | 12 |
10,293 | https://devpost.com/software/narada-dgwl3y | Narada- A web browser named after the Hindu God of Information
Quarkus Implementation
Inspiration
The inspiration for my project is the security issues that we deal with in our everyday life like Australia has lodged issues against Google chrome security policies. We can just resolve those by allowing edge computing and not letting our data being stored elsewhere. My web browser named Narada named after the Hindu God of News and Information is one good solution to the problem.
What it does
Narada has many exclusive features that are useful for both the developers and the users. Built upon the Quarkus framework, it gives its users highly secured internet access, customizable presentation format like (Google Chrome or Edge format or own custom format). The download information is stored within one's own device (In the download folder by default but can be configured). It's really developer-friendly with the HOT RELOAD feature of Quarkus and low memory consumption.
How I built it
Currently, I have deployed using Minikube locally. Initial stages involved framing the web browser, it's architecture, and implementation of Quarkus framework.
Challenges I ran into
Certain challenges involve the debugging and implementing JavaFX as there were certain versional issues like Quarkus runs with maven version >3.6.0 while Sudo apt install maven in Linux installed maven version = 3.6.0, jdk 8 has java-servlet.jar but higher versions didn't have that. Such types of errors arose.
Accomplishments that I'm proud of
I am proud to have built a browser because I thought many times that maybe one day I will be able to build something like Google chrome and thanks to Quarkus for the amazing framework which has provided me a chance to cherish my small dream.
What I learned
I have learned a lot during the entire duration. I learned more about Processbuilders, StringBuilders, and other java libraries. From designing the browser to deploying using Kubernetes (Minikube cluster locally), it was really a great time.
What's next for Narada
Some other features to be implemented like internet connection speed which makes it much better than other web browsers.
Built With
java
javascript
maven
quarkus
Try it out
github.com | Narada | In today's world web browsers is a great need for society. I have built a browser having serverless architecture and KNative CLI. It provides high-security features with advanced customizations. | ['Abhik Chakraborty'] | [] | ['java', 'javascript', 'maven', 'quarkus'] | 13 |
10,293 | https://devpost.com/software/birdup | Capture Page(Empty)
ImageList Page(Empty)
Birds Page (Add birds to tag photos with)
ImageList Page in action
Capture Page in action
Inspiration
Having a bird feeder in your backyard is rewarding. It allows you to get closer to nature.
I've been fascinated by birds since I was young, photographing them is a whole task in itself.
I figured I could build something to manage and help keep watch of bird feeders. Thus, Bird ↑.
What it does
BirdUp allows one to setup their camera on a tripod to observe and take photos with ease.
With a press of any button (via GraphQL [create your own triggers!]) a photo is taken by the Camera connected to the device.
Afterwards the "capture" graphql mutation reaches the Microprofile Graphql resolver on Quarkus, which triggers a request to the
Capture service. It attempts to take a photograph with the connected camera. When successful it subsequently saves the image to the
Minio block storage server and notifies Quarkus. Quarkus using Hibernate with Postgresql creates a Sighting Entity. A bird has been recorded.
If capture is called with the React Application the data is automatically refreshed with Mobx.
Sightings can be tagged with bird entities so that the photos can we queried later for specific birds. (Give me all Sightings with Sparrows and Blue Jays)
How I built it
Frontend - Displays Sightings and Birds, allows for capturing photos, inspecting metadata, tagging sightings.
Typescript
React
Styled-Components
ExifReader
GQLClient
Mobx
date-fns
Backend - Manages Records of Birds, Sightings, Captures Sightings, Provides GraphQL API.
Java
Quarkus
Graphql
HTTP
Hibernate ORM
Postgresql
Storage - Minio Server along with golang http server to submit/fetch for images (associated with sightings by ID)
Go
HTTP
Minio
Camera - Service that asks a Camera to take a photo and returns it to the caller.
Python
libgphoto2
Aiohttp
HTTP
Remote - Bluetooth Remote that triggers capture mutations on button presses (an example of Capture being extended to trigger on X)
Python
Aiohttp
Evdev
Bluetooth
GQLClient
Challenges I ran into
Deploying to Raspberry PI (different architecture) mainly just gathering all of the deps; it took a while. Containerizing every service would help.
libgphoto2 library took some effort to learn.
CORS, I ended up slapping NGINX with proxy_pass and the correct CORS headers infront of everything as it was the easiest solution.
I wish I had read about Minio more as I could've just integrated it directly into Quarkus. I falsely presumed that they only had a go client (so I wrote a go server [facepalm]).
Accomplishments that I'm proud of
Working Demo !!!
Got to fill up bird feeders.
Heard a goldfinch, no photos sadly.
What I learned
Learned and thrived using Quarkus. I've used Java/JVM-* languages in the past. It was the first language I learned and I've moved away from it in the past years for various reason. Quarkus provided some vigor. I am excited to use it in the future with Kotlin. P.S Thanks for the good docs, it pulled me in to this Hackathon.
Bluetooth (bluetoothctl)
How to interface with DSLR's (Cameras).
What's next for BirdUp
Tensorflow service to automatically tag birds.
More triggers, cron jobs scheduling,
AMQP Messaging, connect multiple cameras pointed to N feeders.
More EXIF data.
Tools for interacting with the camera more with the website, Poll for battery information etc.
Containerize everything, just didn't have time to do it sadly.
Similar Applications that could've been made
Fun Photobooth (think graduation party)
ID Photographing.
Photographing anything on a schedule
Built With
camera
docker
evdev
go
graphql
hibernate
java
libgphoto2
minio
mobx
postgresql
python
raspberry-pi
react
styledcomponents
typescript
Try it out
github.com | BirdUp (Bird ↑) | Written to assist in taking photos at a bird feeder. Saves results to a DB viewable from web application | ['Max GDN'] | [] | ['camera', 'docker', 'evdev', 'go', 'graphql', 'hibernate', 'java', 'libgphoto2', 'minio', 'mobx', 'postgresql', 'python', 'raspberry-pi', 'react', 'styledcomponents', 'typescript'] | 14 |
10,293 | https://devpost.com/software/timekeeper | Welcome page
Main time entry page
Month view
List of projects
List of clients
Edit a project
main view 02
Swagger Timekeeper
Grafana - SmallRye Microprofile on our Resources
Inspiration
As a service company, we use time-tracking / timesheets application for years... and we always wanted to build our own solution. Quarkus generated a lot of interestes within our company. We decided to start and to write a sample application, that became TimeKeeper.
It's a 4 months journey, with a lot of fun and discoveries.
What it does
This Web application is a timesheet entry applicaiton. The software allows each employee to record the activities of his or her day. The tool takes into account vacation, corporate events, and per-project budgets. It will then allow project administrators to easily generate invoices for each project at the end of the month.
You can test the 'latest' version that is deployed automatically on Clever-cloud here :
https://acceptance.timekeeper.lunatech.fr
Username : alice
Password : alice
Or another user :
Username : demo
Password : demo
Why did you develop this software?
We wanted to create a fast and simple tool adapted to our activity as a consulting firm. Entering hours and work can be daunting. That is why we plan to add a gamification component to our software. Inspired by sports coaching tools, TimeKeeper helps you to improve your statistics, and to increase the quality and regularity of your timesheet input.
Why Quarkus?
Our first tests with Quarkus quickly showed us the simplicity and power of the tool. We decided to write a very classic application (i.e. time tracking), in order to show a real example of software, coded on the basis of Quarkus.
Authentication is managed by Keycloak.
The graphical interface is coded with React, which also allows us to show an example of a full-stack project.
What Quarkus extensions did you use?
The application consists of a Quarkus backend in version 1.3, with the use of RESTEasy and Jackson for the Web layer.
Firstly, we have used Swagger and the OIDC module to expose a complete API with Swagger. This makes it easy to test our backend. Note that we have also connected the Swagger API with Keycloak, which allows us to test the API access points by authenticating.
The Persistence layer uses Panache with a PostgreSQL relational database. The Flyway extension is responsible for updating the schema.
The application already uses SmallRye-Health and exposes standard health-check endpoints, which then facilitates its use in the Cloud.
SmallRye Metrics allows the implementation of the MicroProfile Metrics 2.3 API in our application. This gives us a very simple way to track the number of invocations and call durations for our main resources.
We integrated Keycloak as a Docker container, also customizing the GUI. Keycloak serves several clients: Quarkus, the React application but also the Swagger API. The tool has also been configured with the integration of our Google domain, which allows Lunatech employees to authenticate themselves automatically.
Finally on the testing side, we integrated Keycloak and the use of Quarkus to perform full integration tests. One of the selling points of Quarkus is the ease of writing powerful and complete tests. Here, there is no mock or partial testing: the API is tested with REST Assured, and a small tool we coded to simplify testing.
Challenges we ran into
We decided to deploy the application on a PaaS platform, Clever-cloud. But in january 2020, the GraalVM support was not up-to-date on the Clevercloud side. We investigated and managed to fix the various issues. See this video in French
https://www.youtube.com/watch?v=awZ-bCSqbu8&list=PLp7l6aUrkPog_OCfZQzMNYCtXgPQGOwNO&index=2&t=0s
We're also happy to use Swagger and the OpenAPI extension of Quarkus. We had small issues to connect our swagger API with the Keycloak system. Guess what... another article about this here :
https://lunatech.fr/2020/06/18/quarkus-swagger-et-keycloak-comment-les-reunir-en-respectant-les-gestes-barrieres/
Accomplishments that we're proud of
This project was built by a team :
Laurie was the product owner
Thierry and Guillaume are 2 students at Lunatech, and this is also their first project
Fabrice, Raymond and Sebastien had to find a project during the COVID-19 and they helped us a lot of the Architecture / Security / Docker / GraalVM part of this project
Geoffroy is our UX-UI Designer, he was also happy to learn react during this project
François was hired as a new Lunatech employee, and worked on this project during 2 months
Coline helped us at the beginning with the React part of the application
Nicolas finally suggested that this project should be open-sourced, and registered the team for this Hackaton
The code is available here under Apache 2.0 license :
https://github.com/lunatech-labs/lunatech-timekeeper
What we learned
This project for us is a "typical simple and not so stupid project" that a lot of companies will do. It's not a killer Quarkus extension or an I.o.T project. It's Timekeeper, a Quarkus backend, with a React frontend, using Keycloak for authentication and autorization.
We're happy if this project can help anyone to learn Quarkus, backend tests with docker + keycloak, how can you integrate react with quarkus in one project, how can we use Cypress for end-to-end testings... etc.
We learn a LOT of things in a very short period of time (february till july)
In term of hosting, the GraalVM version of Quarkus is just amazing : 0,20 EUR per day on Clever-cloud ! ! That's insane! We can also auto-scale in a few ms, thanks to the fast startup time of this application.
What's next for TimeKeeper
We started to work on a SaaS web site and we plan to launch a service in september.
Next step on our roadmap is the gamification part of the application. We want to build something that is close to the sport tracker application, something that should give us energy and motivation to use TimeKeeper.
The code is and will stay open-source.
Built With
graalvm
java
postgresql
quarkus
react
swagger
Try it out
github.com
acceptance.timekeeper.lunatech.fr | TimeKeeper | Related to this Quarkus Hackaton, we decided to build a plain and simple Quarkus + React application. We integrated Keycloak, React, Swagger, SmallRye Metrics, GraalVM native deployment. | ['Nicolas Martignole', 'Laurie Coquillat', 'Guillaume DAVY', 'Thierry Kuy', 'François Dixmeras', 'Geoffroy Bouet', 'Fabrice Sznajderman'] | [] | ['graalvm', 'java', 'postgresql', 'quarkus', 'react', 'swagger'] | 15 |
10,293 | https://devpost.com/software/mkflow | Mkflow
Inspiration
First, this project was inspired by the cloud building stack using serverless/microservice technology which is not available in AWS CodePipeline or Jenkins etc. There was a requirement for CI/CD pipeline with dynamic compute power and this project is exactly what it is for.
Regarding the quarkus, I was mainly got amazed with its whole compatibility with GraalVM stack for Native development. I had already deployed a few small application using Quarkus (private) but this will be my first public project using quarkus. It is simple and easy to develop with it's hot reload feature which is one of the best features I loved. Kudos to the Quarkus.
What it does
This application can dynamically provision a compute power using Cloud provider's like Amazon, Azure(TBD), Google(TBD) at a minimal price (Spot Instance) and run the commands like building and deploying or anything for a limited time and gets auto destroyed after completion.
This can be used for running small batch task eg. If you need one large capacity to compute power for doing a machine learning. Or it can be used for doing our regular code building and deployments and running at its minimal cost.
How I built it
The build stack is quiet simple. I used ssh connection to connect to the provisioned compute machine whereas for the provisioning part I am using Cloud provider's SDK. Every request for running machine is done asynchronously using REST API (Resteasy) and we can see the logs of every task using either CloudWatch Logs or File-based logging.
Challenges I ran into
Mostly the challenges are with the native build. It was tough to get hands-on it at first and do a lot of tests so that it can run in Serverless or Docker container correctly. Mostly it is with the dependencies and libraries that are not fully compatible with Graalvm AOT compilation. There are still some issues so I had to remove and modify the codes differently. The time it takes to compile native is very slow. Overall the project is now fully compatible in native build and runs smoothly.
Accomplishments that I'm proud of
The runtime of the application is just so fast and can be used for serverless application without any hassle. Moreover, I am glad that it runs successfully in AWS Lambda serverless platform. I loved the fact that now I can run CI/CD pipeline with low cost, as well as I can choose now the machine where I can do build and test for faster build time instead of using AWS Codepipeline or Circle CI with everything limited and costly.
What I learned
Learned more about GraalVM and Native deployment and whole architecture of Quarkus.
What's next for mkflow
Need to work on the proper implementation of other cloud providers like Azure, Alibaba, Google etc. Not only that we need the slack integration and proper way to manage the credentials of Github, Gitlab or other Source code repository so that Webhook does not have to worry on sending the critical information in payload.
Built With
amazon-web-services
java
quarkus
Try it out
github.com | mkflow | This repository helps to provision cloud machine and run commands in that container. Mostly used for code build and pipeline and can also be used for running short-lived jobs in the cloud. | ['Narayan G. Maharjan'] | [] | ['amazon-web-services', 'java', 'quarkus'] | 16 |
10,293 | https://devpost.com/software/quarkus-java-playbook | Inspiration
Build something exciting with Quarkus as it was something new and experimental in our organization
What it does
The project acts as a platform to build any code submission, execution and evaluation using serverless.
Accomplishments that we're proud of
With limited time we were able to complete what we initially envisioned.
What we learned
Quarkus is easier than thought
Learned to utilize and understand the quarkus framework and toolkit
We tried python and javascript frameworks on GraalVM
What's next for Quarkus Java Playbook
Build Auth service and Evaluation & Reporting
Built With
amazon-web-services
css-ui:-react.js-frontend-with-material-ui-api-server:-quarkus-resteasy
html
java
kafka
messaging
mongo-client-playbook-server:-quarkus-resteasy
mongodb
quarkus
quarkus-aws-lamdba
react
reactive
reactive-messaging
smallrye
Try it out
github.com | Quarkus Java Playbook | This project helps to run java code on AWS lambdas with additional benefits of tracking and persistence. It uses the latest quarkus & quarkus-aws-lambda for seamless execution and is event-based. | ['Saravanakrishnan Pk', 'John Eipe'] | [] | ['amazon-web-services', 'css-ui:-react.js-frontend-with-material-ui-api-server:-quarkus-resteasy', 'html', 'java', 'kafka', 'messaging', 'mongo-client-playbook-server:-quarkus-resteasy', 'mongodb', 'quarkus', 'quarkus-aws-lamdba', 'react', 'reactive', 'reactive-messaging', 'smallrye'] | 17 |
10,293 | https://devpost.com/software/cusx | Initial home page
Entire code avalaible in few seconds
Generated output in editor
Use of Red hat developer studio
Our sketch or webcam capture
Jyoti- one of our products
Openshift deployment- redcusx
Object prediction offline - Sox
Docker image build
Sox-workflow
Inspiration
My inspiration is my parents and that section of society who want to enjoy the benefits of fast and rising technology. Our current project resolves few problems that commonly people face, namely- building websites from handmade drawing, job dashboards, issues faced by the blind and deaf customers, offline object detections and transactions [offline e-shopping] and providing traffic management solutions.
Today we have products that allow faster deployment, scalability, and security. Our main aim was to bridge the gap between fast technology and common people. I saw my friends say if I could an application to serve the society. I saw my mom saying "I wish I could shop even when offline". Nearly millions of dreams remain uncherished. This has motivated me to build this application and convert the so-called "If" to "yes we can". Nothing is impossible in today's world using tech stacks like Kubernetes, Openshift, Fuse projects which are so easy to use. My inspiration is Red Hat and their community of developers who build such amazing products and in fact, Red Hat studio code was my dream project a year back.
What it does
Our product is based on customer requirements. As per their requirements, we provide services like just draw and get the code, maintain job details and application to design the house, Voice services, and services for physically handicapped.
The products currently we have developed are:-
Realtime website generator
This generates a website source code either from a sketch or through webcam and is much faster than designing a website using wireframes and all such stuff. [Video excludes this service as we didn't ask for customer feedback upon this service].
Sharu and Jyoti
These services are for those who are handicapped. Such customers can avail of these services to have an improved customer experience.
Vmail
This is an application that can be used by all customers to directly send emails using just their voice and not even a touch of the mouse is required. The source code is too simple just a few python files so that it can be used by developers as a package to integrate into their applications.
Sox
This application is an offline e-commerce based application to mainly cherish the needs of those who live in areas of low internet availability or at times of natural calamities. In case of low network availability, the application is a PWA already has images that are classified using realtime object classifiers and then AMQ service is used to send fast messages. It received great customer feedback.
Traffene
The application is currently under development which uses RedHat Istio, Kubernetes and DataGrid to provide the best traffic management solutions.
Job management portal
A job management dashboard makes it easier for the recruiters to take their interviews online and the job seekers can even apply mock interviews. The most important part of the platform is that one can integrate blockchain principles to record events in the form of transactions. It can more likely be called a decentralized platform.
How we built it
Initially, we focussed upon making the most important parts of the project that is using java and bash scripts to generate the code from the object dimensions and python scripts to deal with training our model. Hence, in this way, we completed the first part of making an automated front-end designer. Secondly, we made our basic project my second team member worked upon that. Firstly, I designed all the screens to have the best customer experience. Worked upon the backend so that for the time being we can demonstrate the working of our model. Implemented Redhat developer studio to develop our fuse integration project.
We made out workflows of our products which we have attached in our presentation. Then we started making our projects one by one after discussing what are the difficulties faced by common people or better say, customers. It has been a great time building this product or a mixture of products.
Challenges we ran into
Initially, we thought we won't be able to develop our project using a completely new platform and learning new tech stacks. But as we were working at least I thought that now I am a die-hard fan of the Red hat community. I want to become its member now and so I wanted to use almost all the tools. But then our main intention was to make something productive and we had less time so we are going to present our prototype. Actually, as anyone can think like our's is a combination of products we became so much excited after getting to know of those Red Hat products and so wanted to make something to help others get started with. We faced bugs like
failed to create listener: failed to listen on 0.0.0.0:10252: listen tcp 0.0.0.0:10252: bind: address already in use
But we went on resolving issues and improving our products. And we have spent many sleepless nights in order to resolve all the issues and build our project.
Accomplishments that we're proud of
We were able to work upon such a nice platform - Red Hat developer studio. Deploying our application upon openshift was another part of our interest. Then we even made another project and will integrate it soon using Quarkus and Kafka extensions. We don't know whether we will win and get a chance to attend Red Hat developer's Summit and spread the word of technology to those who really need but we won something special and that is confidence upon using building for a social cause and the hope to be able to bring a smile into the faces of many.
What we learned
In short- "Customer is God". Making things at the hand of their tips and increasing the ease of using our applications is most important. For us to keep in mind that developers who will be working on our project after some time can feel comfortable using our code and so I used Quarkus for making the automatic preview of code. Especially Kafka's extensions are just awesome as we can easily add them in just a single line of command. We have learned to use Red Hat AMQ messaging and DataGrid.
What's next for CusX
We have a lot to work upon CusX. We need to add many such small but interesting free services. Our project upon automation of website building we need to implement Tensorflow.js so that we can develop code based upon real-time object detection. We are still working on our product Trafene. We are thinking to convert CusX into a platform for developers to submit their work on applications and they will be paid for that. For any innovative idea by any common person upon making a better customer experience, they will be paid and developers may work upon such ideas to build creative products. This will be a continuous process of creating a new world where people love to work without any hassle.
Sorry for issues with the demo but our system was facing issues due to internet shutdowns and our exams are ongoing so we were unable to prepare the video but our project workflows and project has been well documented.
Built With
bootstrap
css3
html5
istio
java
javascript
kafka
maven
openshift
php
python
spring
Try it out
github.com
sox-shop.herokuapp.com
github.com
github.com | CusX | Our project is based upon converting ideas to reality with less effort.Auutomated website builder from realtime sketches, realtime 3d furniture design,etc. Our promo :-https://youtu.be/94KKqzIQFSM | ['Abhik Chakraborty', 'MenusGarg5981 Chakraborty'] | [] | ['bootstrap', 'css3', 'html5', 'istio', 'java', 'javascript', 'kafka', 'maven', 'openshift', 'php', 'python', 'spring'] | 18 |
10,293 | https://devpost.com/software/sentiment-detector-7alfy6 | Inspiration
I always thought that people will require a machine learning solution which parses the text as toxic or non toxic. Most of the parents are worried about their childrens online presence. i.e. is someone will bully their child on social media platforms like facebook or twitter. OR may be the child reads something that he/she should not read. To overcome this issue I have developed this API. Though I was seeing people building apis and applications using Python. But I always wanted to implement these things in java.
What it does
It parses the given sentences ito either toxic/negative/sensitive(0) or non toxic(1) in microseconds.
How I built it
I built it using quarkus and apache open-nlp library and by providing the dataset of toxic and non toxic sentences. and
http://che.openshift.io/
used this to write all the source code. I found that quarkus already has presence over there so that was a bit easier to move ahead.
Challenges I ran into
At the beginning I was not aware about how I can use open-nlp to implement this thing. But when further checked , I found some syntax and relevant classes.Also I was not aware about maven and quarkus. But by going through quarkus tutorials I was able to make it.
Accomplishments that I'm proud of
I completed the machine learning solution for sentiment detection using java.
What I learned
I learned Quarus,Maven, eclipse che, Also I learned how to host this application on cloud .
What's next for Sentiment-detector
We will look forward to implement emotions analysis also in this.
Built With
java
maven
quarkus
Try it out
sentiment-detector.herokuapp.com
github.com | Sentiment-detector | Sentiment-detector is an api built with quarkus using apache open-nlp to detect toxicity of sentences with very short response time. It takes multiple sentences and returns result as toxic 0 or not 1. | [] | [] | ['java', 'maven', 'quarkus'] | 19 |
10,293 | https://devpost.com/software/aws-secrets-manager-extension | Inspiration
I use AWS Secrets Manager to store credentials all the time. In my recent project using Quarkus, I had to create a client and retrieve the credentials. It wasn't a big deal. But, I was so disappointed when I realized that the AWS Secret Manager SDK doesn't support GraalVM Native image. I wasn't able to build a native binary for my application. This was my big motivation to create an extension. I want to integrate my application with AWS Secrets Manager and be able to create a native binary to run my service, and I want to do it simply.
What it does
Allow you to integrate AWS Secrets Manager with Quarkus easily. The extension creates an AWS Secrets Manager client which can be injected using the annotation @Inject. This extension supports sync and async client.
If inject the client is not easy enough, it is possible to use a custom tag to inject the secret from AWS to a string using the annotation @AWSSecretsManager.
Injecting Sync Client
@Inject
SecretsManagerClient client;
Injecting Async Client
@Inject
SecretsManagerAsyncClient asyncClient;
Injecting secret using AWS Secrets Manager Annotation
Allows injecting a secret from AWS Secrets Manager directly to a variable. It supports plaintext and binary secrets. The example store the secret from _ a-secret-id _ in the string _ secretId_.
@AWSSecretsManager("a-secret-id")
String secretId;
How I built it
I followed the extension documentation, and I took a look at existing extensions in the Quarkus repository. Furthermore, I used the Zulip channel.
Challenges I ran into
I faced a few challenges. The first one was to understand the architecture. But, the hardest challenge was to create a custom annotation to my extension. My goal was making it easy to use Secrets Manager and to achieve that, a custom annotation to inject a secret into a variable was essential.
Accomplishments that I'm proud of
I am happy that this extension allows developers to use AWS Secrets Manager with Quarkus and create a binary file with the project in an easy way, out of the box using a new annotation AWSSecretsManager.
Now, developers don't have to code any line to retrieve secrets from Secrets Manager. They only need to use an annotation. For me, this is the big contribution of this extension.
What I learned
I have many learnings. I improve my knowledge about Quarkus. But, I think the best learning was to know how amazing is the community. I am pleasantly surprised. They were a helpful and active community. They answered my questions, and they worked on the bugs that I reported. After this project, I can say I would love to work for Red Hat.
What's next for AWS Secrets Manager extension
I would like to integrate this extension with the Credential Provider extension and provide the same functionality existing in Vault. Specifically, I would like to be able to create a DataSource with the credentials stored in AWS Secrets Manager.
Built With
amazon-web-services
awssecretsmanager
graalvm
java
quarkus
Try it out
github.com | AWS Secrets Manager extension | It is easy to store credentials in the AWS Secrets Manager and use it, however, with this Quarkus extension it is even easier. | ['Cristian Maluenda'] | [] | ['amazon-web-services', 'awssecretsmanager', 'graalvm', 'java', 'quarkus'] | 20 |
10,293 | https://devpost.com/software/hermes-w97df2 | Inspiration
I recently learned about MQTT and i started doing some small projects with the eclipse mosquito MQTT broker and the esp-32 board, after a while i thought that it would be a good idea to have a web client that runs alongside the broker that i can access from anywhere on the network with any device. At the same time i found out about the Quarkus hackathon, so i gathered some teammates and we started the project.
What it does
Hermes is an easy to use MQTT web client that can be ran alongside an MQTT broker making it easier to send MQTT messages, it uses the quarkus framework (specifically the RESTeasy and the Smallrye Reactive messaging extensions) in order to be fast, and lightwheight. The user can publish MQTT messages to any topic he desires and can also recieve messages from a predetermined topic, all from within the web ui.
How we built it
We used the RESTeasy extension to serve the web page and handle the various web requests and we utilized the Smallrye Reactive Messaging for MQTT to handle all the MQTT messages that will be sent to and from the application.
Challenges we ran into
We started the project pretty late so we didn't have much time to polish it, also we didn't have any experience in JAX-rs, Quarkus, or reactive streams. also making the user choose the topic to subscribe was a challenge.
Accomplishments that we're proud of
Managing to make something functional considering our available time and minimal experience and making the server able to publish messages to many different topics.
What we learned
The whole project from start to finish has taught us a lot of new stuff. We learned even more about java and jax-rs, we learned more about maven and the quarkus framework and we also learned how to containerize an application and package it.
What's next for Hermes
We are planning to continue developing Hermes to make it more feature rich. We plan to add features like multiple users, the ability to subscribe to different topics from the web page, a functioning settings page etc.
Built With
java
jaxrs
mqtt
quarkus
reactivemessaging
Try it out
github.com
hub.docker.com | Hermes | Hermes is an easy to use MQTT web client that can be ran alongside an MQTT broker making it easier to send MQTT messages. | ['Dimitris Kafetzis', 'Panagis Sarantos', 'Μανώλης Μαραγκουδάκης'] | [] | ['java', 'jaxrs', 'mqtt', 'quarkus', 'reactivemessaging'] | 21 |
10,293 | https://devpost.com/software/quake2 | multi
single
First of all, here is a link to my GitHub repo:
https://github.com/treblereel/quake2-gwt-port
Inspiration
My main goal was to revive interest in my favorite game using new technologies like Quarkus and J2CL (Java to JavaScript transpiler).
What it does
It allows anyone to play Quake2 in a browser with their friends.
How I built it
At work we are looking at modern high-performance front-end and back-end technologies, so I decided to investigate some best options in my spare time. I had a good experience with Wildfly so Quarkus was the first candidate.
After a few months I got a perfect set of frameworks for modern development on Java.
Challenges I ran into
I ran into some Quarkus bugs (static resource loading, for example) but received help extremely fast on Zulip, so it wasn't a stopper for me. I also found some tricky bugs in the Google Closure Compiler. But the most difficult part was to implement fast Java NIO buffers over J2CL, now it's a separate project which is published on Sonatype. Huge amount of old JSNI code has been rewritten to pure Java, it took me the longest time.
Accomplishments that I'm proud of
Easy to build, easy to run by everyone. High performance (60fps on my old 2011 macbook). Most importantly, the ability to play my favorite game again using only a browser.
What I learned
I learned how easy it is to use and deploy Quarkus applications, it's incredibly easy to add and configure any modules like WebSockets using the world-best documentation.
What's next for Quake2
Nothing on the server side, coz i have no issues with Quarkus. Code has been recompiled from C so it contains too many static classes to compile it to Quarkus native image, so I'm going to rewrite them. Plus bugfixing .
Built With
j2cl
java
quarkus
webgl
webscokets
Try it out
j2cl-quake.colinalworth.com | quake2-gwt-port | Opensource Quake2 port for browsers on Quarkus/J2CL | ['Dmitrii Tikhomirov'] | [] | ['j2cl', 'java', 'quarkus', 'webgl', 'webscokets'] | 22 |
10,293 | https://devpost.com/software/project-hermes-u7po0b | ESFE logo
Inspiration
We want to make something impactful during this pandemic. That can reduce the likelihood of people going out.
What it does
It is meant to place grocery orders for users and have them delivered to their home.
How we built it
We used Quarkus and its functionalities as specified in the requirement in combination of aws lambda, aws alexa, and elasticsearch to achieve the current minimal required functionalities. Much more works to be done.
Challenges we ran into
There were many challenges, 2 biggest ones are:
1) lack of resource about java based alexa skills
2) lack of useful samples of Quarkus projects. (We came from spring boot). Especially alexa focused.
Accomplishments that we're proud of
1) We believe we've built the first Quarkus based open source Alexa skill that could be found on google. (Yes, we googled a lot and couldn't find anything that was helpful to us.)
2) Although the project isn't complete, we accomplished the basic flow of Alexa skill which only used Quarkus related functionalities.
3) We fought through countless blockers such as connecting to Elasticsearch using Quarkus and other unforeseeable technical difficulties which took us tremendous amount of time.
What we learned
1) How to set up Quarkus Project
2) Difference of object creation in Quarkus projects such as lambda functions and actual server running
3) How to create handlers using Quarkus
4) Proper CRUD operation in Quarkus environment
5) Web scrape under Quarkus environment
6) Multiple other Quarkus functionalities:
i) unit test
ii) fault tolerance
iii) logging
iv) compile reactive project
v) scheduled jobs in Quarkus
7) Use Quarkus generated scripts to create/update lambda functions
8) Utilize maven for dependency and profile management
9)
What's next for Project Hermes
Potentially, we would really like users to be able to actually land real orders using our app.
There are a few more things needs to be done before that happens:
1) We need to run a server to constantly update currently available stocks
2) Either user account information so we can place order for them, or we use our own account to do that and charge a fee
3) Workflow can be improved more for better user experience
4) Better way to represent 40+ result from the search
5) Add a real cart functionality so people can actually put things in their carts
Built With
amazon-alexa
amazon-web-services
elasticsearch
java
jsoup
quarkus
Try it out
amzn.to
github.com
github.com | Project Hermes | Why use your phone to buy groceries when you can do it with Alexa? With Project Hermes, you can order any grocery you want and have them delivered while still on your phone doing things you like. | ['jianhui Lin', 'Li Dai', 'shuwenhhh'] | [] | ['amazon-alexa', 'amazon-web-services', 'elasticsearch', 'java', 'jsoup', 'quarkus'] | 23 |
10,293 | https://devpost.com/software/funding | Login
Payments
Business Information
Highlights
fundIt
A platform that democratizes access to capital for small businesses via crowdfunding
Inspiration
Startups founders don't have those connections or profits to get funding and especially in a year full of uncertainties many big investors are scared to invest in small businesses. And not all startups makes million dollars in their beginning years.
Meanwhile, most people are not as rich but want to invest. So we want to build a platform that benefits color businesses (because majority of them are quite small) and Investors both. Startups put their video pitches to help make investor a decision on the startup and investor can make an appointment with the business to know about their future goals before investing.
What it does
An app that promotes small businesses and leverages the power & success of women entrepreneurs and businesses of color by helping them get crowdfunding by retail investors for equity.
Users can login and authenticate their credentials via Apple/Google/Email
Startups can post data such as PDFs, Images, and Text to supplement their crowdfunding campaign and help investors to make investment decisions
Investors can browse all campaigns via a Tab view
The most unique feature of this platform is the highlighted businesses of the month. Underrepresentation and discrimination is a huge problem in business investments so we want to represent those businesses by having a separate page for them.
Investors can schedule a virtual meeting with the representative of startup that will help investor know about the future plans of the business
Investors can pay as little as $10 for a share in the startup’s equity offered in the crowdfunding campaign
Investors can view their past investments & their total investments on a profile view
Startups can checkout the funds raised from the crowdsourced campaign via Apple/Google Pay to Apple/Google Wallets in a virtual FundIt card
How I built it
Flutter: Dynamic Mobile Applications that runs both on Android and iOS.
Firebase: For authentication
Square: Payment Processing
SQL: For storing the Business and Investor Information
UiPath: For automating the process for investors displaying startups according to their search history
Potential Users
Retail investors - who will be investing in the companies that are listed on our platform
Startups - they sign up for crowdfunding in exchange for equity.
Challenges I ran into
Payment Processing using Square
Automation with UiPath
Making dynamic user interface for startup took some time to apprehend
Accomplishments that I'm proud of
Able to build a working platform with a great team work in such a short time.
What we learned
Learned how to divide tasks as a team and be accountable for it, setting report time
How to do payment processing
What's next for fundIt
We are planning to reach small businesses and small investors who could benefit from each other. Small businesses by getting money and small investors by getting returns on their investment with as little as 10 dollars.
Built With
dart
firebase
flutter
square
Try it out
github.com | funding | A platform that democratizes access to capital for small businesses via crowdfunding | ['Rishav Raj Jain', 'Sulbha Aggarwal', 'Rupakshi Aggarwal'] | [] | ['dart', 'firebase', 'flutter', 'square'] | 24 |
10,293 | https://devpost.com/software/geotrak-tm | High-Level Architecture
Screenshot
Summary
The GeoTrak (tm) platform is composed of a suite of application services focused on the tracking and visualization of reported geographic position data. It is largely intended to demonstrate the ability of a Quarkus microservice to effectively scale to meet the demand of hundreds to thousands of position reports being sent in from many different IoT sources.
The core components of the platform are:
Trakker:
the Quarkus microservice used for capturing reported position data. It accepts GraphQL mutations and pushes received events to a Kafka event stream.
GeoTrak Server:
a Spring Boot service which listens to the Kafka event stream written to by Trakker, consumes the reported events, and serves them to client(s) via GraphQL Subscription(s). These events are delivered asynchronously by the Reactive Streams Publisher & Spring WebFlux APIs.
TrakkerJakker:
a Spring Boot application which executes parameterized simulations of IoT calls. Uses randomizers to determine number of calls per execution, and to offset geographic positions for each subsequent call. Uses the Java ApolloClient library to execute GraphQL calls against the Trakker service.
GeoTrak (tm):
React-based JavaScript UI for visualizing generated geographic position data using Leaflet. Uses JavaScript Apollo client library to establish a GraphQL Subscription to the GeoTrak Server. When position events are received, they are dynamically added to the Map and the Map is re-rendered to show the updated data. Data from each source (identified by GeoID) is rendered in its own Map layer that can be turned on or off through the UI. Allows limited map manipulation and execution of TrakkerJakker processes via simple REST calls.
Inspiration
I have always had an interest in geographic information systems and map-based data visualization, though I have had precious few opportunities to exercise this interest professionally. When I read the requirements for this Hackathon, I decided it would be the perfect chance to create something in this vein. I chose the IoT theme because of the potential to generate large amounts of geographic data that could be visualized using a mapping API like Leaflet, which I have used before. The concept was to build a Quarkus service that could stand up to massive demand from multiple connected devices reporting their geographic positions simultaneously. Deployed to a container management system such as OpenShift/Kubernetes, EKS or Docker Enterprise, the ability to rapidly scale out to many instances of the service would be invaluable for meeting this kind of demand. To this end, the Quarkus component I developed (trakker) has been compiled to a native executable on a container image that can be deployed into any of the above referenced platforms. I've pushed the image to my Docker hub account at
eahollin/trakker
. The source code is available on github at
https://github.com/eahollin/trakker
. The additional components of the GeoTrak (tm) platform, identified in the Summary, have been containerized as well for ease of deployment.
What it does
The GeoTrak (tm) platform supports large-volume tracking and visualization of geographic position data. Its domain model includes a
GeoEntity
, which is a producer of
GeoTrak
events. The GeoEntities have a unique ID and a Name, and the GeoTrak objects include a randomly generated UUID, the GeoID of the entity producing the event, and floats representing Latitude, Longitude and Altitude. GeoTrak (tm) currently only maps in 2D. The UI provides an interactive Map that displays the position data in realtime as it is produced. A User can execute various custom simulations which produce bulk position events that are immediately visualized on the Map. The User can also export the captured and rendered data in GeoJSON format for distribution to other systems.
How I built it
The centerpiece of the GeoTrak (tm) platform is the Quarkus-based microservice,
trakker
. I started with the basic Quarkus starter project, including some of the libraries I knew I would need, including graphql and kafka support. Initially, I tried to make trakker do too much, thinking I would implement full GraphQL-based crud of GeoTrak events. This quickly became overkill as I realized all the trakker service really needed to do was accept inbound events as quickly and efficiently as possible. In the end, I implemented a single GraphQL mutation for adding new GeoTrak events. The Quarkus service receives these events and pushes them to an outbound Kafka topic, which is configured using the Smallrye Kafka libraries. The resulting code is very tight and streamlined and blazing fast. One might even say, "supersonic".
The other components of the platform were necessary for supporting the Quarkus service. I needed a way of receiving the Kafka events and distributing them to consumers, which is the primary function of
geotrak-server
. Since I can't effectively produce GeoTrak events from many physical sources, I required a way of simulating this behavior, which was the impetus for creating
trakker-jakker
. Initially, this was going to just be a standalone Spring boot application with no web interface at all. Once I started working on the UI (
geotrak
), however, it became obvious that the ability to remotely invoke trakker-jakker via a REST call would be tremendously useful as it would allow for exercising the features of trakker from a single user experience. The
JakkerPanel
component of the React UI was one of the last pieces I built, so that I could effectively instruct trakker-jakker to run its processes directly from the UI.
Challenges I ran into
Initially, I intended to use an open-source project called react-leaflet for rendering and interacting with the Leaflet mapping capability. Unfortunately, I discovered early on that this was quite unwieldy in terms of managing state across the various components and getting the underlying Leaflet libraries to actually do what I needed them to do. In the end, and after reading some relevant forum posts from other folks experiencing the same problems, I resorted to a more brute-force approach of leveraging React capabilities for reference objects and callbacks, but within the callback methods, invoking various Leaflet API calls directly on the associated object(s). This allowed me to do alot more than I would have if I had continued to struggle with react-leaflet.
I was also a bit late to the party, only becoming aware of the Hackathon and beginning work on GeoTrak (tm) on July 6, almost 3 weeks after it had begun. Despite the tight time window, I believe I made significant progress, but I was unable to complete some of the more advanced features I would have liked to include. The framework I've built, however, should make future extensions much easier to incorporate.
Accomplishments that I'm proud of
Although the Quarkus service was the onus for the application, and shines as the most vital and efficient component, I am particularly proud of my work on the UI. Frontend development has never been my strong suit, so finding and effectively working with React component libraries and putting together a complete functional UI was very satisfying.
What I learned
I got a much better feel for creating native images with Quarkus. While I have had limited success during labs and demos in the past, this was the first time I was able to create an original service that can be reliably compiled into a native executable using a Docker container, then embedded in a container image for deployment to a live container management system like Kubernetes.
I also continued to learn about GraphQL, which is relevant to my current job, including realtime Subscriptions via the Apollo JavaScript (and Java) libraries. This, of course, involves reactive-style programming and thus strengthened my skills in that area, as well. I also got more familiar with the Smallrye APIs that Quarkus uses in order to avoid including some of the bulkier third-party libraries in its native image builds.
Finally, I reacquainted myself with Leaflet, which is a powerful JavaScript mapping suite that I have used twice in the past. I also found and worked with a nice little open-source React component library called PrimeReact. I will even be recommending this component library to my employer for one of the projects we are presently working on.
What's next for GeoTrak (tm)
A separate service is planned for management of GeoEntity objects (the simulated objects generating the position events), but this facility is currently being provided by the GeoTrak Server component.
I also plan to create more complex simulation algorithms that can be executed by the TrakkerJakker component. The current algorithm is very simplistic. My original scenario idea centered around many GeoEntities moving in a large group simultaneously, e.g. a "herd". I would also like to create a scenario where GeoEntities periodically cause the creation of a new GeoEntity at their present location, which then begins its own Trakker reporting in a separate thread. I would like to see the exponential growth that would occur in such a simulation. Most of these ideas require multi-Thread management and built-in timer delays to effectively simulate. I just didn't have time to implement some of the more ambitious features.
Built With
docker
graalvm
graphql
java
javascript
kafka
leaflet.js
materialui
primereact
quarkus
react
spring
Try it out
geotrak.edhollingsworth.com
github.com
github.com
github.com
github.com | GeoTrak (tm) | GeoTrak (tm) is a geographic position tracking and visualization platform, comprised of a React-based UI, two Spring Boot services, and a blazing fast Quarkus microservice for receiving tracking data. | ['Ed Hollingsworth'] | [] | ['docker', 'graalvm', 'graphql', 'java', 'javascript', 'kafka', 'leaflet.js', 'materialui', 'primereact', 'quarkus', 'react', 'spring'] | 25 |
10,293 | https://devpost.com/software/floodplain-io | A simple Floodplain transformation
Inspiration
I've been working in change data streaming for a few years, and I think it is an underdeveloped area.
Early this year I took a sabbatical (to travel and party :-/) but I ended up writing Floodplain.
Martin Kleppmann said it best in his book Data Intensive Applications:
"Why can't I just "mysql | elasticsearch"?
That is what I want to do here: Declaratively pipe different kinds of databases together, usually with some transformation in between.
The source database simple does its job and is unaware of the change data streaming, and all the down-stream database can materialize this data in all kind of fancy ways.
Like using materialized views, but then between completely different databases.
What it does
To take the specific MySQL -> ElasticSearch example, suppose I have an application that uses MySQL, and I want to add full text search to it, it
is
possible to do that in MySQL, but it is an advanced feature, and it might impact the performance of MySQL. Ideally, we wouldn't touch our production database at all. Changing data models of running databases is tricky, and should not be done lighly.
Alternatively, we can stream all MySQL changes to Elasticsearch. For ES, full text search is not an advanced feature. It is the 'hello world' of ElasticSearch. ES can do its thing while MySQL is unaware. If somehow the ElasticSearch cluster acts up or gets damaged, we can simply repopulate a new cluster and throw away the old one. Far less stressful that messing with indices and data models in the source database.
Want to do fancy graph analysis? Stream it to Neo4J
Want to publish a subset of your data to the internet without exposing your own application? Stream it to a managed store like FireStore.
How I built it
Floodplain builds Kotlin based Kafka Streams applications. I chose Kotlin because it is a very pleasant language, and because it has very powerful features like extension functions and function types with receivers it is quite easy to expand.
I also like Kotlin because the Kotlin crowd is not the typical data engineering crowd, and I'd like the stream processing to be less intimidating, so for example Android developers can get started in this area without needing to jump into a completely foreign ecosystem.
Quarkus suddenly got interesting when 'command mode' was introduced, because Floodplain programs are essentially long-running commands, you start them, and they stream any changes that come in until someone stops it.
Quarkus solved the deployment problem for me. I tried using fat-jars, but due to the nature of Kafka Connect components (they tend to be deployed as Fat Jars), the instances got massive. Last time I built a fat-jar, it was a 55Mb jar for a very basic stream. With Quarkus, that same stream runner was only 200Kb. That is a very significant improvement, especially as I am targeting more low-end users.
Still, as Floodplain compiles to a Kafka Streams application, we still need a lot of infrastructure, even for a very basic streaming application: A Kafka Cluster, a Zookeeper cluster, a Kafka Connect cluster, and the Floodplain application itself. It isn't
that
bad, as you can spin up all of this with a simple docker-compose file, but it still has too many moving parts for my taste, especially if you want to simply stream data from one database to another.
When Debezium (the part that captures data from databases and usually writes it to Kafka) introduced a 'standalone' version, that wouldn't push changes to Kafka but allowed me to use it however I liked, I started thinking about running Floodplain entirely without Kafka. By adapting the test-runtime from Kafka Streams (originally used to test Kafka topologies), Debezium standalone, and directly using the Kafka Connect sink api, we can now run Floodplain without Kafka and Zookeeper.
Using Kafka still has a lot of value: For example, Floodplain instances kan run and be re-run without causing extra load on the source database, but with Floodplain we can now run the same stream instance with or without Kafka, depending on our needs.
Challenges I ran into
The general perils of event driven architectures. Debugging why
something doesn't happen
is
hard
I pivoted half way to support the 'kafkaless' runtime, and that was pretty hard to back port, as it is quite a different runtime.
Accomplishments that I'm proud of
Running Kafka Streams without Kafka is kinda cool.
I'm biased of course, but I think the developer experience is actually quite nice
The thin wrappers around Kafka Connect sinks makes it really simple to add new sinks
Strong-typed configuration is so much nicer than weakly typed configuration.
What I learned
Lot of practical things. Kotlin, Gradle, publishing to Maven Central, gotten pretty intimate with the Kafka / Streams / Connect interface.
I've learned the value of using strong typing for configuration. If you create configuration objects in a strongly typed language (like Kotlin) you will know what you need to supply, what type it is and what you can optionally add. If you get it wrong, the editor will tell you. This is so much better than trying to craft the exact property or yaml file and getting some runtime error when there is a discrepancy.
On a more 'fluffy' level, I've learned the value of diversity (...awww..) If you look at the same data though the lens of a document database or a graph database you see different patterns and it does expand your thinking. For example streaming a live relational dataset into a graph database is just a really profound experience. It's the same data but you are looking at it with new eyes.
What's next for Floodplain
I hope it gains some traction, I believe strongly in this model.
This is pretty much a sabbatical / lockdown project that got out of hand a bit.
There is of course a ton of things to improve and optimize. There are many more sources and sinks to embed, I've focused mainly on mainstream databases, but there are many more connectors: MQTT, Azure IOT Hub, ArangoDB.
Right now, Floodplain creates a Kafka Streams application but that might not be right for all cases, for small local instances it might be even more efficient to run the code directly, even in memory with no persistence. Alternatively for larger deployments it might make sense to run on 'heavier' environments like Spark. Floodplain can provide a runtime agnostic programming model for all these environments.
Built With
debezium
kafka-streams
kotlin
Try it out
github.com
github.com | Floodplain | Change data streaming for the masses. Write a stream transformation in concise and simple Kotlin code. Point it to a source and sink databases, and it stream all data and keep streaming all changes | ['Frank Lyaruu'] | [] | ['debezium', 'kafka-streams', 'kotlin'] | 26 |
10,293 | https://devpost.com/software/appname-ybfhks | Run Demo *** IMPORTANT ***
See instructions in our Github -
https://github.com/330i/family_carpool
. These are temporary, until we get a formal cloud deployment and payment plan set up, at which users will just need to install the app for it to work.
Inspiration
A while back, largely off of personal experience, our team recognized a significant gap in the transportation industry -
family-oriented carpooling
. Most families push their children towards participating in a variety of after school activities, whether it is pee-wee soccer or a high school swim team.
According to the US Census Bureau,
nearly 57% of kids age 6 to 17 participate in some form of extracurricular activity
.
We realized there was quite the potential for a widespread app that targets specifically the demographic of carpooling focused on kids and their after school activities.
Logically, parents will often become trusted friends with the others and we believe there is a wonderful opportunity to split up the daily trips amongst each other.
This has
the potential help free up time for the parents
to get a headstart on their other responsibilities, or if they have other children, transport them to the next activity.
Having seen these issues ourselves, the potential here stood out to us.
Thus, my team chose to focus on designing an app that targets this
demographic of "carpooling potential"
left untouched by most solutions that only target carpooling for the work commute.
Months ago, however, our half-hearted tries to pursue our idea failed due to terrible development experience, and demoralizing cloud costs/scaling prospects. Thus we gave up.
Come to this hackathon
, we looked into quarkus, and realized that our idea was now much more plausible with it. We realized that this app would work hand in hand with the capabilities Quarkus provides as features like adding routes and group chatting with others usually require large amounts of requests and quick response times.
Quarkus reignited our passion for the idea
, and here we are!
What it does
Once you create and setup your account, you can share your information with other parents at activities like soccer practice, karate, dance, and so on. Using TidePool you can
organize a convenient carpooling arrangement
to help fit your schedule and preferences, allowing you more easily free up time to do other things or drive another one of your kids with a conflicting schedule.
The home page, where you are brought to after you sign in, is where you can see all the details about your upcoming routes and is
the entry point to all the other helpful features
in TidePool. Here you also get recommendations based on which of your friends are taking the same route as you at the same time. Note that TidePool only recommends routes if you have declared yourself as friends with that user, in order
to ensure maximum safety
.
The next page is the calendar screen where the user’s carpool schedules are shown along with an option to create a route.
When creating a carpooling task
, the user will type their start and end time along with their start and end address. They’ll get a quick preview showing the suggested route before their carpool is registered by the quarkus backend. From here, parents can sign their kids up to be picked up on the way if they were planning to go to the same area in the first place. After the user submits their carpooling data, they along with other users will be automatically notified with local notifications when the carpooling starts.
Once it’s time to go, users access the route page, which shows a calculated route with ETA, information on the driver, who all will be taking the route, and more. One of our most beneficial features is our
live-tracking functionality
, which offers another layer of convenience, functionality, and safety for users on our platform. We use
Kafka streams and broadcasting emitters
on our quarkus backend to allow parents to track the location of the driver to ensure they’re on the route and on time. This feature was of the utmost importance to us as we can only imagine how much the safety and security of their children are to all parents.
On the community screen, your group chats and friends are visible. Like I previously mentioned, recommendations and route schedules are generated solely on a user’s friends.
in case of an emergency
or an abrupt schedule change, you will be able to access their alternate contact data. Group chats, on the other hand, will be automatically added according to your route schedule, one for each route that you’ve joined. These give
an easy mechanism for quick communication
, as well as for confirming who’s driving when/where. The driver for any given date/time can also easily be changed from here. Contact data and other information of your friends will be readily available through the user information screen in case the individual is unavailable in the group chat.
How We built it
Our app was segmented into 2 different parts - a flutter frontend,
and a 100% quarkus backend
.
We started off as a basic reactive crud operation, using this for storing user data, routes, carpools, and managing our search algorithms and queries.
Using a reactive PostgreSQL agent, we built the data structure and schema for our entire application. Through, and through, however, our application was structured with a microservice architecture, with several light-weight nodes built with scalability in mind.
Outside of our data management for authentication and other use cases, we used
reactive streams with Kafka
, and broadcasting emitters to set up our location-tracking pipelines, where one user will publish their location to the service, and then all the other necessary users will be updated on this location in near realtime.
Streams of requests proved useful for enabling us to set up community and chat architectures. For the on-device function, we used things like the
google maps API, geolocation, and flutter_local_notification
to enhance the app as a whole.
Perhaps more importantly was the cloud setup. We set up our application to
deploy with Kubernetes on docker containers
so that we can gain access to all of the benefits that come along with Kubernetes clusters.
Using quarkus' Kubernetes libraries, we set up an environment, which can
scale to loads, auto-deploy, and perform self-healing in the cloud
, as these will all be significant in the long run as we push to build this into an actual product.
Our UI was built through a series of meticulous steps, including prototyping, and color matching. As previously stated, it is Flutter that powers the speedy development to intricately change each individual aspect of our user interface to reach our goal.
Challenges We ran into
Since this is our first time with Quarkus,
we had a lot to learn
. From many simple errors to internal server errors, it was challenging for us to assess the error due to one teammate having the error on one operating system while the other doesn't because he's on another operating system.
Although this was very frustrating to solve, we got more and more exposure to coding on Quarkus, our solution ended up being rewriting all of the interfacing code to substitute out characters that windows quarkus considered invalid, and then re-integrating data back into a proper form upon retrieval.
Learning how to set up the emitters and relevant Kafka stream was also difficult, but the office hours and
the quarkus community made it possible
.
Besides that, challenges like remote work, tiny bugs, and in general our novelty to so many concepts became the biggest time-suckers, but perhaps also the biggest learning experiences.
Accomplishments that we're proud of
Deciding to jump into the deep end and learn a skill we were all inexperienced with was something that we were quite scared about doing in the beginning. Luckily we found its learning curve was easy to understand and got a grasp of it in time to build a great app around its features. Going in blind learning a skill for a hackathon isn't something that we generally do, but this turned out to be quite a treat.
We're proud of all of our technical progress learning new technologies and reaching new heights as developers. We have a new framework under our belt, and we're not afraid to use it! We've built a UI with lots of passion and detailed precision, and we can now say with confidence that it was more than worth it.
We've grown as a team and created another wonderful project, but most of all, my team is always proud to have successfully built an app that shows promise of high practicality and widespread use in the real world. Like we said earlier, it's always our goal for the app to not only be original but to be something that we think many people could use.
What we learned
Of course, we can state the obvious and say that we learned about each of Quarkus' features and how they're used, but in the process, we also learned a great deal relating to how larger amounts of data are stored and utilized in general.
We learned about concepts like reactive, streams, cloud scaling, cloud-native development, all while
building our first microservice architecture.
We all got a higher level of understanding of many general concepts and strategies that are utilized by Quarkus' abilities; we got to experience integrating it and seeing how each of its aspects would influence the functionality of our app.
Aside from the technical abilities, we really enjoyed the experience of just learning something new, and getting to code in java (finally), since other frameworks and strategies just haven't been able to make the cut. Our skills and passion for technology have only grown, and we're now familiar with a new favorite framework.
What's next for TidePool
After the submission process for TidePool, we hope to release this into the real world, as we predict that this is something that many parents would take an interest in.
This is a product that we as a team really believe in, and with the right combination of bug fixes, business planning, and architectural optimization,
we know we can get there!
Built With
android-studio
flutter
flutter-local-notifications
google-maps
gps
postgresql
quarkus
Try it out
github.com | TidePool | Carpooling management designed to help the busy, multitasking parent. | ['Doug Mohn', 'Jai Gupta', 'Prasann Singhal', 'ss kim', 'Prasann Singhal'] | [] | ['android-studio', 'flutter', 'flutter-local-notifications', 'google-maps', 'gps', 'postgresql', 'quarkus'] | 27 |
10,293 | https://devpost.com/software/trenzz-summarize | Inspiration
I have been thinking of an application since long that provides the political mood of country based on twitter trends. This has been first step, main intent of this effort to explore the basic capabilities of the quarkus framework like exposing rest service, invoking the rest service, and connecting database. All this along with ability to create a native image and execute that exploits the advantages of GraalVM.
What it does
The usecase here is application that captures the Top 10 Trending keywords from Twitter for given place and displays that as a graphs on UI. HTML, Java Script and D3 Framework are used for UI rendering.
How I built it
Trenzz Summarize is an application that is developed to showcase the capabilities of the Quarkus. The application uses Quarkus, Quarkus Resteasy, Quarkus Rest Client, Quarkus Scheduler, Quarkus Hibernate Orm, and Quarkus JDBC H2 (as embedded In-memory database).
Challenges I ran into
I was using the dockers for the first time and I ran into multiple challenges with hardware limitation with my old desktop, corporate network restrictions on my office latptop and above all running dockers on Windows. GITHUB actions came to rescue, with it I was able to build docker images easily and I was able to run the container on AWS Fargate, Openshift and Heroku.
I was able to build native image of the application but could not make it working as I was using H2 embedded in-memory database and currently Quarkus does not support executing H2 embedded in-memory database.
Accomplishments that I'm proud of
I was able to build native image of the application. I was able to deploy the application in to multiple different cloud environment.
What I learned
Apart from the basics around Quarkus, I also learned dockers, github actions and resteasy client proxy during this effort.
What's next for trenzz-summarize
I need to fix the UI rendering issue to refresh in the ascending order of time.
As next step I need to run the application as native image by splitting the database and I need to build the intelligence that translates the trend keywords in to political mood.
Built With
h2
quarkus
quarkus-hibernate-orm
quarkus-rest-client
quarkus-scheduler
Try it out
github.com
54.227.41.49 | trenzz-summarize | The Application that reads twitter the top 10 trending trending keyword on hourly basis and visualizes it as Bar Chart. | ['Gopinath Radhakrishnan'] | [] | ['h2', 'quarkus', 'quarkus-hibernate-orm', 'quarkus-rest-client', 'quarkus-scheduler'] | 28 |
10,293 | https://devpost.com/software/shop-aggregator | Inspiration
I find myself quite hard to find shop that sell multiple item I want to buy at Tokopedia
What it does
It allow user to input multiple term and aggregate the search to get list of store that sells the items that is searched for
How I built it
TODO
Challenges I ran into
Integrating vaadin with quarkus
Accomplishments that I'm proud of
Not much but at least I managed to be more productive using Quarkus
What I learned
Quarkus is a really great tool to get more productive especially on Backend Service
What's next for shop-aggregator
Extend it to allow query for other store (BukaLapak, Shopee, etc)
Built With
java
vaadin
Try it out
shop-aggregator-lb-436686083.ap-southeast-1.elb.amazonaws.com | shop-aggregator | Allows user to input multiple search query to tokopedia in order to find which shop sells each of the searched item | ['Husin Wijaya'] | [] | ['java', 'vaadin'] | 29 |
10,293 | https://devpost.com/software/mydemo | The main display entry screen when initially loaded
Display screen (in the "showing answers" phase)
Phone game screen (asking for an incorrect answer to fool others)
Initial phone entry screen (asking for a name)
The main display entry screen after players have joined
Inspiration
Developers spend a lot of time writing "serious" apps, and in order to learn Quarkus I wanted to opt for something a little more light-hearted! I'd played similar games in the past, but never seen something completely web-based - they were either "offline" games, or required separate downloads / installs.
What it does
Tosh is a party game similar to Balderdash, Fibbage, and Fictionary. Up to 6 players are given up to 10 questions, and have to provide answers for each with the aim of fooling their opponents. Those options, along with the correct answer, are all displayed to the players, and they have to guess the correct answer. Points are given both for guessing the correct answer, as well as fooling people with your fake answer!
How I built it
Quarkus is used on the backend - there's many features I like here, but the development mode with live reload made iterating much, much quicker than I'm traditionally used to with other frameworks like Spring. The built-in websocket support was also very easy to use. The data layer is all Redis, which keeps access fast and means all data can easily be set to auto-expire - there's no need to keep it around after the quiz expires! The frontend is just vanilla HTML/CSS/JS, and the whole lot is packaged up into a Docker image & designed to be deployed & scaled on Kubernetes.
Challenges I ran into
Finding a decent, open dataset for this type of task was the biggest challenge. I ended up using OpenTDB, the open trivia database, but it has its challenges - the questions are designed as multiple choice, and so not all are suitable (some keywords had to be filtered.)
Accomplishments that I'm proud of
Tosh may just seem like a trivial party game - and in many ways it is, it's designed to be simple to play. However, under the hood the architecture means it's a fast, resource-efficient, and fault tolerant system that can easily & automatically scale to any number of users. For a game that could feasibly be played by thousands of groups simultaneously at some times, and just a handful at others, that's a very important property to have.
What I learned
Learning Quarkus was my main goal with this project. I'm now confident designing, developing & deploying a project with Quarkus, as well as some of its non-core functionality such as websocket support.
What's next for Tosh
There's always more to do! The frontend could use some work generally - I'm not a designer or frontend developer, so there's definitely room for improvement on both those fronts. I'd also like to add more features to the app itself - perhaps multiple rounds, and perhaps a "geography" based round where you have to guess (and fool others) at the name of a random place on a map.
Built With
css
html
java
javascript
json
kubernetes
quarkus
redis
websockets
Try it out
shrouded-woodland-80423.herokuapp.com | Tosh | Tosh is a party game similar to Balderdash, Fibbage, and Fictionary. Fool your opponents by providing wrong answers for them to guess! | ['Michael Berry'] | [] | ['css', 'html', 'java', 'javascript', 'json', 'kubernetes', 'quarkus', 'redis', 'websockets'] | 30 |
10,293 | https://devpost.com/software/test-your-trivia | Language model state diagram for the Alexa app
Testing the lambda skill interactively after each Quarkus update
Quarkus leveraged for quick deploys, updates, and unit tests of the Alexa lambda function
Test your Trivia - IoT learning skill for Alexa
Test your Trivia
A new kind of trivia Alexa game built on Kotlin and powered by the
Quarkus
framework.
Leverages the Quarkus framework
Used for unit testing of Lambda (launch) intent handler
Rapid deployment to AWS using the
./build/manage.sh update
script
Prepackaged REST client enabled building a retrofit-like API out of the box.
AWS sdk for lambda already included through the Quarkus package.
Can be used as a starter project using Kotlin and Gradle toolchains.
Try it out on your Alexa:
https://www.amazon.com/dp/B08CY6YF6G
Inspiration
Many Alexa quiz games exist but generally have:
A fixed number of questions.
Limited set of categories, or sometimes just one category, and don't leverage a dynamic question API.
Don't give you control over the quiz category.
Can be too long.
Not open source.
How to use
You can ask for a quiz on any of the below categories. ex: Start an easy sports quiz.
Alexa, open test your trivia.
Start a {easy, medium, hard} {category} quiz.
Ok, here's your first question. Say A,B,C or D...
(5 multiple choice questions)...
{Terrible, Good effort, Great Job, Perfect}! Your final score is {x} out of 5. Thank you for playing Test your Trivia! Let's play again soon!
In test your trivia, you pick the category:
Supported categories:
general knowledge
books
film
music
musicals
television
video games
board games
science
computers
math
mythology
sports
geography
history
politics
art
celebrities
animals
vehicles
comics
gadgets
anime
cartoons
Keep playing and improve your knowledge over time!
Running the application in dev mode
You can run your application in dev mode that enables live coding using:
./gradlew quarkusDev
Packaging and running the application
The application can be packaged using
./gradlew quarkusBuild
.
It produces the
test-your-trivia-1.0.0-SNAPSHOT-runner.jar
file in the
build
directory.
Be aware that it’s not an
über-jar
as the dependencies are copied into the
build/lib
directory.
The application is now runnable using
java -jar build/test-your-trivia-1.0.0-SNAPSHOT-runner.jar
.
If you want to build an
über-jar
, just add the
--uber-jar
option to the command line:
./gradlew quarkusBuild --uber-jar
Creating a native executable
You can create a native executable using:
./gradlew build -Dquarkus.package.type=native
.
Or, if you don't have GraalVM installed, you can run the native executable build in a container using:
./gradlew build -Dquarkus.package.type=native -Dquarkus.native.container-build=true
.
You can then execute your native executable with:
./build/test-your-trivia-1.0.0-SNAPSHOT-runner
If you want to learn more about building native executables, please consult
https://quarkus.io/guides/gradle-tooling#building-a-native-executable
.
Built With
alexa
amazon
html
kotlin
lambda
quarkus
rest-client
Try it out
github.com | Test your trivia - an IoT learning app built for Alexa | A new kind of trivia Alexa game built on Kotlin using the Quarkus framework. | ['Chris Buonocore', 'Kyle Arean-Raines'] | [] | ['alexa', 'amazon', 'html', 'kotlin', 'lambda', 'quarkus', 'rest-client'] | 31 |
10,293 | https://devpost.com/software/lottery-blockchain-application | Inspiration
Quarkus is supersonic and subatomic Java framework. Blockchain applications to mine Ethereum networks used to demand many resources. It sounds like a perfect match: we can deploy much more instances of our application using the same resources for mining.
What it does
This submission covers the usage of web3j framework to implement a Lottery Blockchain application using Ethereum networks.
How I built it
The application is a multi-module Maven application based on three components:
Parent module
Custom Quarkus extension to configure a web3j client
Lottery Blockchain Application using Solidity contract
Challenges I ran into
Create the Solidity contract and integrate it with Maven
Implement Integration Tests using testcontainers
Implement the custom Web3j Client Quarkus extension
Accomplishments that I'm proud of
The custom Web3j Client Quarkus extension
The integration with Solidity compilation and Maven
The tests are easy to use and extend
What I learned
Lot of Quarkus and Blockchain concepts.
What's next for Lottery Blockchain Application
We could demonstrate how to implement a Blockchain application for mining on Kubernetes.
Built With
blockchain
ethereum
ganache
java
json
junit
quarkus
restassured
solidity
swagger
testcontainers
web3j
Try it out
github.com
sgitario.github.io | Lottery Blockchain Application | Applications to mine Ethereum networks and get money used to demand many resources. So what if we create a Blockchain Quarkus application using web3j framework able to use any Ethereum network? | ['Jose Carvajal'] | [] | ['blockchain', 'ethereum', 'ganache', 'java', 'json', 'junit', 'quarkus', 'restassured', 'solidity', 'swagger', 'testcontainers', 'web3j'] | 32 |
10,293 | https://devpost.com/software/redhat-myconsult | Submit medical case
NearBy Search
Search physician directory
Inspiration
My daughter went through critical medical conditions, with two different opinions from local physicians, and so I had to look for second opinion outside our local region as her conditions were very rare specially in our region.
What it does
Once medical conditions with clear diagnosis are reached with enough reports (test results, imaging, ...etc) and before patients start treatment protocols, they usually seek second opinion to confirm the diagnosis and to validate the treatment protocol. This portal is meant to help patients, physicians, and medical institutes to come online and collaborate for a smooth, trusted second opinion process.
How I built it
1 - Search physician directory (speciality based)
2 - geospatial, nearby search to find close by physicians
3 - Brows physician profile with guiding statistics
4 - submit the medical case with all supported details/reports
5 - in case physician is not selected, API engine will recommend a physician
6 - initiate review process with business rules
7 - final conclusion and recommendations to be communicated back
Challenges I ran into
business scenarios, enriching the UI to reflect the power of back end
Accomplishments that I'm proud of
responding to real needs, applying my personal experience from technology and end-user prespective
What I learned
What's next for RedHat - MyConsult
Built With
angular.js
bootstrap
business-rules
gateway
jquery
k-camel
kogito
mongodb
observation
ocp
openapi
openstreetmap
pipelines
postgresql
qurakus
service-composition
service-mesh
tracing
workflow | RedHat - MyConsult | MyConsult - Medical Second Opinion portal, is a quarkus/microservices based solution provides intuitive physician directory, medical cases submission, and patient/physician collaboration platform | ['Waeil Eldoamiry'] | [] | ['angular.js', 'bootstrap', 'business-rules', 'gateway', 'jquery', 'k-camel', 'kogito', 'mongodb', 'observation', 'ocp', 'openapi', 'openstreetmap', 'pipelines', 'postgresql', 'qurakus', 'service-composition', 'service-mesh', 'tracing', 'workflow'] | 33 |
10,295 | https://devpost.com/software/pianotunesar | Playing along!
Enter a YouTube URL and launch AR camera after getting our marker
Building muscle memory!
Intro
Inspiration
Have you ever tried learning the piano but never had the time to do so? Do you want to play your favorite songs right away without any prior experience? This is the app for you. We required something like this even for our personal use. It helps an immense lot in building muscle memory to play the piano for any song you can find on Youtube directly.
What it does
Use AR to project your favorite digitally-recorded piano video song from Youtube over your piano to learn by following along.
Category
Best Practicable/Scalable, Music Tech
How we built it
Using Unity, C# and the EasyAR SDK for Augmented Reality
Challenges we ran into
Some Youtube URLs had cipher signatures and could not be loaded asynchronously directly
App crashes before submission, fixed barely on time
Accomplishments that we're proud of
We built a fully functioning and user friendly application that perfectly maps the AR video onto your piano, with perfect calibration. It turned out to be a lot better than we expected. We can use it for our own personal use to learn and master the piano.
What we learned
Creating an AR app from scratch in Unity with no prior experience
Handling asynchronously loading of Youtube videos and using YoutubeExplode
Different material properties, video cipher signatures and various new components!
Developing a touch gesture based control system for calibration
What's next for PianoTunesAR
Tunes List to save the songs you have played before by name into a playlist so that you do not need to copy URLs every time
Machine learning based AR projection onto piano with automatic calibration and marker-less spatial/world mapping
All supported Youtube URLs as well as an Upload your own Video feature
AR Cam tutorial UI and icons/UI improvements
iOS version
APK Releases
https://github.com/hamzafarooq009/PianoTunesAR-Wallifornia-Hackathon/releases/tag/APK
Built With
augmented-reality
c#
easyar
unity
Try it out
github.com | PianoTunesAR | Use AR to project your favorite digitally-recorded piano video song from Youtube over your piano to learn by following along! | ['Zoraiz Qureshi', 'Farrukh Rasool', 'Ahmed Farhan', 'Hamza Farooq'] | ['1st Place Winning Team: 1,000 € + Wallifornia MusicTech + Les Ardentes 2021 Tickets + Cloudsploit Cloud Security Services'] | ['augmented-reality', 'c#', 'easyar', 'unity'] | 0 |
10,295 | https://devpost.com/software/tfog-three-flow-one-game | TFOG Logo
Contextualisation
Nowadays everyone can say : “ I m a gamer “. From the intensive one to the one who play on Sunday evening with friends on smartphone’s FPS.
Some of us even have decided to make a job out of this passion for gaming, sharing it, becoming celebrities and bringing together their fans, promoting videogames and gameplays they judge interesting. The streamers are a key to make this community standing as a social one.
Behind a videogame stand teams, thinking how to provides real feeling through virtuality. How to create atmosphere in which everyone wanna jump into and get immerged in.
Problemes
However there are still gamers communities evolving without this social interactive perspective that offers E-sport. The interaction between Streamers and gamers in such communities is still very passive and basic. On one hand you got the streamer, sharing is passion and on the other hand, you got the gamer watching the stream like he would watch TV, that’s all. Kinda casual, don’t you think ? Precisely where it could be much more ...
So what about a centralised place, alike an arena. This arena would provide a common aera which will reunate the three flow in one ? A place where every videogames will become an E-sport ?
Solution
Let us introduce you : Tfog. Three Flow, One Game.
An arena of competition where every gamer will have this opportunity to record an action performed by the streamer, using a plug-in installed on his machine. This plug-in will upload the recorded information on the platform.
Once the streamer keyboard-mouse actions recorded, you as a gamer, and via another plug-in installed on your machine you will have the opportunity to learn the action, assimilate it and perform it on your turn.
And finally, you will have the possibility to share your achievement on Tfog, feeding the community with your experience. You will let know the streamer that they bring you something more, and to the dev that their games is more than just entertainment.
Let ‘s connect three flow in one around Tfog, an interactive and competitive social media, created and think for gamers all around the world.
To see our wireframes:
https://we.tl/t-tCL7tOyCqt
Built With
adobe-illustrator
css3
figma
html5
javascript
php
Try it out
github.com | TFOG: Three Flows, One Game | The project is the creation of a platform allowing the community of gamers / streamers / developers to come together. This Platform will provide an easier learning and interaction opportunity. | ['Yana Snytko', 'Natascha Gritte', 'Mohamed Benhammou', 'Ziadoon AL-OBAIDI', 'SiriusJason Lê'] | ['EVS Challenge Winner'] | ['adobe-illustrator', 'css3', 'figma', 'html5', 'javascript', 'php'] | 1 |
10,295 | https://devpost.com/software/genus | Genus Homepage
Genus Artist Search
Inspiration
We were inspired by challenges we've faced as musicians in collaborating with other artists. We also surveyed musicians for their biggest pain points and found that the market is lacking in a place where both professional and amateur musicians can collaborate together.
What it does
Genus provides a safe, secure place where musicians can collaborate with other musicians. The platform provides a place where musicians can find services for all their music needs.
How I built it
Our tech stack included React and Redux for the front-end, and Express, Node, Sequelize, and PostgreSQL for the back-end. We collaborated using Git and GitHub.
What I learned
We learned that not only is technology important but also having a strong business plan and demonstrating a gap in the marketplace. It was fantastic working with the mentors who brought so much insight.
What's next for Genus
We've created a feature roadmap so that Genus lives beyond the MVP features.
Apologies for the sound. The sound was downgraded when uploaded to YouTube.
Here is another YouTube video with a demo of the prototype only:
https://www.youtube.com/watch?v=hqa-nIO-M9U
Thank you so much from the Genus team!
Built With
express.js
node.js
postgresql
react
redux
Try it out
github.com
github.com
docs.google.com | Genus | Genus is a music platform where professional musicians can find genre-specific collaborations and services. | ['Connie Tran', 'Zorana L.', 'Desiree Garcia'] | ['Winning Music Team - Coaching with LeanSquare Accelerator - Music Tech'] | ['express.js', 'node.js', 'postgresql', 'react', 'redux'] | 2 |
10,295 | https://devpost.com/software/e-insights | E-Insights
Our sentiment analysis platform that integrates with live chat
Meet the Team
Inspiration
Pro Esports streamers already have plenty on their hands, yet their production kits are often rudimentary at best, and it is difficult for them to analyze feedback from their viewers. We wanted to change that.
What it does
E-Insights is designed with streamers' needs in mind and hosts a comment analytics dashboard utilizing sentiment analysis to create our own e-index (emotional index). We calculate metrics such as total average and moving average in live time to quantify audience engagement and perception of streaming content, allowing streamers to improve audience relations.
How We built it
We decided to build a web app using express.js and node.js. We used socket.io for the live chat option and the sentiment module for our sentiment analysis.
Challenges We ran into
The Twitter and Twitch APIs proved difficult to integrate, but we were able to implement a live-chat option instead, simulating the live-data feed that goes into the sentiment analysis algorithm.
Accomplishments that I'm proud of
We are proud of being able to implement sentiment analysis on streaming data, integrate the socket.io API, and most importantly, our team spirit.
What I learned
We learned about the back end of livestreams and how to access and handle live data
What's next for E-Insights
In the future, we plan on refining our sentiment analysis to detect more complex emotions, as well as scrape the comments section from additional streaming platforms such as Twitch and Youtube Live in real time.
Built With
css
express.js
html5
javascript
node.js
sentiment-analysis
socket.io
Try it out
e-insights.ml | E-Insights | Designed with streamers' needs in mind, E-Insights provides a live-time comment analytics dashboard utilizing sentiment analysis to enable streamers to improve audience relations. | ['Andrew Yan', 'Yujia Zhang', 'Lyle D'] | ['Winning ESports/Gaming Team - Coaching with LeanSquare Accelerator - Esports/Gaming'] | ['css', 'express.js', 'html5', 'javascript', 'node.js', 'sentiment-analysis', 'socket.io'] | 3 |
10,295 | https://devpost.com/software/music-challenge-2-7s-l-a-c-y | Team at work
Inspiration
Didn't you ever sing a few notes of your favorite song? Wouldn't it be great to get rewarded for singing these few notes? Right there where you stand, under the shower, in a park, on the street, at the bus stop... And just when you feel like singing?
What if listening to the radio would become a real interactive experience?
What it does
Sing along with your favorite hits while showing your love for your favorite radio station! You can compete against your friends and share your greatest moments
How it is built
With love, a lot of ingenuity, team work to find a way to be organized.
Challenges we ran into
Defining a common project where everybody felt involved in and challenged by their very skills.
Pivoting our project at the end of the second day of coding.
Using a lot of tools, working in the same direction, understanding each other
What we have learned?
working in benevolence to reach all together the next step
Accomplishments that we're proud of
Creating a positive, solution oriented and committed Team.
Sharing our skills and knowledge.
What's next for Music Challenge 2 : 7s L.A.C.Y
this app can also provide some challenges as well (music contest on the radio,...),
Depending on the technical challenges we face, will be:
Improving the experience (eg.: add filters for the voice, adjusting the tone to the users voice)
Increasing the social network capability (eg.: filming oneself and sharing on social media like TIKTOK, Taking pictures to share on Instagram…)
Using the GPS function for users to get together (matchmaking, flashmob, special events, 3 singers in the bus…)
And more to come.
Positive, solution oriented, committed
Built With
css3
dolby
html5
java
javascript
Try it out
github.com | Music Challenge 2 : 7s L.A.C.Y | Sing along with your favorite hits while showing your love for your favorite radio station! You can compete against your friends and share your greatest moments | ['Frédéric GUERBER', 'delphine piette', 'Christophe Guerber', 'krzysztof buczek', 'Maelle HEMI', 'Andrew Yan'] | [] | ['css3', 'dolby', 'html5', 'java', 'javascript'] | 4 |
10,295 | https://devpost.com/software/echo-music-learning-app | Inspiration
I struggle for years trying to learn guitar on my own and although I now even compose music I wish there was a way to have learned faster while also developing my ear training skills so I could instantly even play the music I constantly hear in my head.
I have heard the same complaints from other musicians and when doing user research and testing. It's one of the major reasons people give up playing.
What it does
Echo Automatically collects the songs you love from your playlists, organizes them by chord progressions, then breaks them down into easy & actionable bite-sized lessons so you can start learning to play by ear!
So when you learn one song with Echo, you've actually learned most of the songs you already listen to and love.
How I built it
Challenges I ran into
During the hackathon, the team that asked me to join them for my idea at the last minute decided to go off on another project which is fine things like this happens. But I have no choice but to keep going forward on my own. The challenge was that they were going to do the coding and no coding was done. I am a UX researcher and Designer.
Accomplishments that I'm proud of
I the results from user testing and the iterations have inspired me, even more, to continue to move forward.
What I learned
Things don't always go as planned but that doesn't mean it wont workout.
What's next for ECHO | Music Learning App
Built With
apis
hooktheory
houndify
ios
spotify
youtube | ECHO | Music Learning App | Echo Automatically collects songs you love from your playlists organizes them by chord progressions, then breaks them down into easy & actionable lessons so you can start learning to play by ear | ['René Diaz'] | [] | ['apis', 'hooktheory', 'houndify', 'ios', 'spotify', 'youtube'] | 5 |
10,295 | https://devpost.com/software/ohun-find-your-emotion-based-music | Ohun Swot Analysis
Ohun Webpage
Inspiration
This platform and app were inspired by the idea that everyone wants to understand by machines. Especially while you are trying to find some playlists in a bad mood.
Comes from;
Music + Tech, Challenge 3
Brought by RTBF and Radio France, the goal of this challenge is to create a brand new user experience to help music lovers discover music or music-related content they might like through interactions with voice assistants.
What it does
Ohun is a semi-social network where users can discover emotion-based music and create playlist through interactions with voice assistants(google actions or amazon eco). The most important thing about this network is that the users can filter the results by emotions(such as happiness, sadness, loneliness et.). The purpose of ohun is to move this user preferences pool of search to a more useful way and suggest events based on their choices.
What we learned
We learned to look from different perspectives and valuable information from our lovely mentors.
What's next for Ohun: Find your emotion-based music!
In the future/next features, users can find events based on their choices. And Platform offers events based on the developed machine learning algorithms.
Team
Aysun Demirdöğen - Product Developer
Eyitayo Alimi - Software Developer
Pooya Ghiami - Software Developer
Sarah Guillaume - Software Developer
Yigit Eygi - Sound Designer
Fayaz Azeem (unfortunately he have had some technical problems with his computer, then decided to leave :()
Shreyansh Sancheti (2nd day decided to work with other groups, but now we are developing almost same ideas in different teams :D)
Mentors that improved our idea
Technical (Software): David Brabant (EVS), Leny (Becode), Mathieu Delvaux (EVS), Philippe Modard (Google), Benoit Bovy, Laureline Depermentier (Becode)
Business (Finance/Media/Business Development): Gaetan Baudelet (Noshaq), Loic De Visscher (RTBF), John Zozzaro (Mediatech Ventures), Ted Cohen (Mediatech Ventures), Scott Fetters (2112), Dan Zeitman
Technical (Music): Yves Schommer, Daniel Offermann (Musician), Sarasara (Musician), Michael Lariviere, Jay Katsuyama (Universal Music Group), Sujata Rao (Universal Music Group), Amy Strack (Universal Music Group)
Brand/Pitching: Mitch Chaiet, Angela Bee Chan, Ward Cannaerts (Ancienne Belgique)
Built With
bulma
cevelyn
css
design
emotional
html
musicdata
parcel
photoshop
react
replicastudios
voiceflow
Try it out
github.com
pooyagheyami.github.io
github.com
drive.google.com | Ohun: Find your emotion-based music! | A suggestion platform for music lovers to discover music playlists linked with emotions through interaction with voice assistant. | ['Eyitayo Alimi', 'Aysun Demirdogen Sener', 'Fayaz Azeem', 'pooya ghiami', 'SarahG4000 Guillaume Sarah'] | [] | ['bulma', 'cevelyn', 'css', 'design', 'emotional', 'html', 'musicdata', 'parcel', 'photoshop', 'react', 'replicastudios', 'voiceflow'] | 6 |
10,295 | https://devpost.com/software/music-matrix | Inspiration
Music Matrix was envisioned by the Musing Live team during the previous Wallifornia hackathon NextStageChallenge, when we wanted to create an interactive live music environment that was truly in the intersection of immersive live music and gaming.
For this we started to create a simple rhythm game in Unity and the state-of-art music information retrieval library Essentia as part of our hackathon solution, but ended up not using it then, as we wanted to focus then on our existing concert producing collaborations with several established live music arrangers in Sweden.
Inspired by neuroscience-concept of “embodied cognition”, and the potential to fully utilise machine learning for interactive personalised user experiences, we wanted to create an immersive music world generated purely from perceptual musical features of live music audio.
At a live concert your experience is often shaped by the way you interact with the people and the music and the space it’s in, the energy and movement of the music in the moment together with others in a social safe space is often the core value of the live music experience.
We wanted to build a virtual interface for a live music experience that only needs as input an audio signal in order to generate a whole virtual world created entirely out of musical features.
This should be available as a stand alone experience across all common devices directly via the browser as a progressive web app, with a further scope to integrate the same environment/system in other VR-environment, e.g. for virtual concerts in games such Fortnight.
What it does
As musician/artist, you can plug the output from any live performance into the Music Matrix app, where it automatically generates a virtual environment purely from the live audio signal, where your online audiences can interact with the music. The graphic style of the generative environment accommodates the musical style of the live audio. (by matching retrieved style/genre metadata to extensive image data sets, and utilise style transfer learning to generate the graphics.)
For online audiences to the live streamed show, an interactive immersive environment is generated in real time purely from the audio signal from the live music performance. The environment is reactive with the music and evolves with the live audio, and also evolves with the movements from the online audience users to a live show. This by capturing the users movement while listening to the music via the web camera, to embody their dance-style/rhythm in their own avatar interacting in the virtual environment.
How I built it
This is achieved by utilising state-of-art music information retrieval (MIR) technology to retrieve perceptual musical features from the live music audio signal, e.g. the beat and the rhythms of the music. The users movements are captured by existing motion tracking/pose estimation software, and the rhythm of the movements are matched with the music features, to seamlessly embody the movements of the users avatar in the evolving immersive environment in an interactive way.
Then we are extensively using machine learning (ML) (in particular deep transfer learning with sequential models and GANs), in order to learn users movements to the music, and feed the output from this ML-model back to the user as interactive dance/rhythm-games. In this way the user is actively interacting with the music, and the evolving environment, in a kind of perceptual feedback loop that enhances the immersive live music experience.
Generative graphics in Unity and Webgl. Sound analysis/MIR/ML with Essentia, MADMOM, with custom extensions built on TensorFlow and/or Pytorch, hadoop infrastructure for data capture and handling. By utilising state of art transfer learning, the online computation of live features can be made very efficient and “real-time” UX-wise, if a stacked hierarchy of deep learning models are sharing parameters, and at the top a very “shallow” neural net is actively generating content interactive to the user.
Challenges I ran into
For the hackathon, we quickly realised that it was infeasible to within a few days build a ML-system indicating the above described functionality. What we instead did was to analyse the requirements and feasibility of building such system long term, and this seems to us to be very possible given time and resources to our in-house machine learning and MIR team.
It is an engineering challenge to sync streaming data across users devices to provide a good user experience, and this takes some more R&D to settle a feasible scope for. For this we are actively collaborating with the expert live streaming consultancy firm Eyevinn technology located in Stockholm.
Accomplishments that I'm proud of
We set out to do this hackathon project in order to develop and validate our idea/concept by a design process with our team and interactions with the hackathon mentors and coaches. During this process we received lots of good feedback on our concept, validating that there is industry interest for our envisioned product.
We took a quite technical and machine learning- based initial idea and managed to developed a concept around it, which many industry experts seems to agree with us will provide great value to live music audiences and music content providers if it’s being fully implemented.
This is for sure motivating us to continue developing and scale up this project after the hackathon. Especially added to the fact that this concept is right in the heart of music and technology which is something we are deeply passionate about and, we would love to see it being realised.
What I learned
We participated in the Hackathon since we were excited about the idea and wanted to take the opportunity to develop it into a coherent concept and start validating it by interacting with mentors and coaches.
We have received a lot of very nice feedback on the concept so far, which is highly encouraging for us to develop and scale this project up now.
The Essentia team, of MIR researchers and developers, was consulting us directly during the Hackathon, and was also very encouraging of our project. In particular our scope to effectively utilise machine learning and predictive analysis to improve their existing benchmark algorithms for live music feature retrieval.
In these interactions we learnt a lot from them on how to achieve high performance of these algorithms when running them via the web browser.
What's next for Music Matrix
As a next milestone we are aiming to create a unique interactive app/interface for live music experience as MVP per the above, to be used within our live concert activities with our partners that are professional live music production agencies (in particular Abundolive.se, MTA production, Jubel AB). These activities will then also generate specialised training data for our system that can incrementally improve the systems performance over longer term.
If such system is employed within live music events with major artists (in e.g. Fortnight), this will result in a highly specialised dataset of perceptual music features, live music interactions and other music metadata, that will surely be an unique and highly valuable asset for the music industry.
For example this data set could be utilised in music recommendation systems, and also potentially for generating new music content with machine learning that is of much higher quality as its features are significantly closer to the human cognition/perception.
Built With
c++
essentia
hadoop
javascript
madmom
python
pytorch
tensorflow
unity
wasm
webgl
Try it out
docs.google.com
docs.google.com
github.com | Music Matrix | An interactive music media player, that is a virtual world generated purely from the music audio together with musical user-interactions as a co-creational live music experience. | ['Minette Olson Hedin', 'xharde stephane', 'aradhana chaturvedi', 'Simon Berggren', 'Gustav Lindsten', 'Nils Kakoseos Nyström'] | [] | ['c++', 'essentia', 'hadoop', 'javascript', 'madmom', 'python', 'pytorch', 'tensorflow', 'unity', 'wasm', 'webgl'] | 7 |
10,295 | https://devpost.com/software/clubby-fm | Talking to the radio club and being a community radio dj
Clubby
App hosted at
clubby.fm
Demo video at
https://youtu.be/Uqjm_kLhMAE
Clubby is THE community radio built to solve the big problem of music discovery by scaling word of mouth. Join a public radio channel and add your favourite songs + tell us about what they mean to you!
Why did we build this?
In our experience as producers and engineers we've realized that the surefire way for people to discover new music is through a friend (word of mouth)! It feels personal and we get context on why someone likes an artist or their music.
Maybe San Holo or Petit Biscuit makes you feel centered and hopeful, maybe Bill Withers reminds you of a time gone by. And maybe, just maybe, that's what we'd like to hear or feel as well. Your likelihood of listening to artists introduced with this context is significantly higher than it would be if it appeared randomly on a playlist.
Why is it awesome?
Scaled Word Of Mouth Discovery
: The community radio and community DJ approach treats word of mouth discovery as the primary way of discovering music. It is the most natural way of discovering music and feels more alive as compared algorithm feeding you tracks. The introduction by users help explain why the songs are meaningful and in a human relatable way.
It's all about vibing with other people from all around the world.
Gamified Music Recommendation and Discovery
: Music recommendation and discovery is no longer a passive experience as dictated by algorithms. We see music recommendation and discovery as an active social process and games provides a meaningful context for this to happen. The active experience provides a counterpoint to the passivity prevalent in streaming services.
Play DJ on the fly
: You don't need to by sitting down on a computer or fiddling on a phone to share music. With a voice first interface, you can do this while driving a car, coding, or doing some other task. The voice first interace provides an outlet for social expression not possible with touch based interface.
Segmentation of Mixes and Distribution of Royalties
: As users will be pushing out tracks to queues via the system, we are able to track the play count of the individual tracks and account for the relevant metadata. This information can later be used for royalty payments and payments to the respective rights holders. Ad revenue and subscription payments are some sources that can be distributed by this system.
How It Works
Sign up the app on Google assistant.
It is currently in alpha, so you need to get permission to join the alpha. Apply for alpha testing at
clubby.fm
The voice app will then prompt you to link your Google account. This is needed for the scoring, differentiating users in channels, and organizing the song queues.
Join a community radio channel and listen to what's already playing. At the end of each track, you get to grade whether the song was hot or not hot. The results will then be announced to the channel thereafter.
When you're ready, add a song to the queue in community radio channel. Optionally, you can tell the channel more about the song and what it means to you.
Wait for your introductory speech and song to be played, and everyone would get to rate whether your song was hot or not hot.
Overview
clubby
contains the Django web application. This is meant to be hosted on Google's Appengine. This backend is designed to interface with Actions for Google Assistant
nginx
contains the dockerized nginx server required to host the application outside of Google's Appengine.
certificates
is an empty folder for containing ssl certs
functions
contains various webhooks to run with actions console on google.
Challenges Faced While Building This
Google cloud can be quite abstrust at times especially with Google actions which is needed for building voice interface with Google.
Hooking up the various functionalities can be tricky. Bugs can arise through misconfiguration, while they're are addressable quirks the are massive time wasters.
UMG's API doesn't integrate well with Google actions as Google actions does not provide an option for streaming audio data. A workaround involved adding the stream data to an mp3 container first in order for it to be played on Google action.
Accomplishments We're Proud Of
Developing a decent voice interface in a short period of time. Due to development bottlenecks developing voice interfaces can be very time consuming.
What We've Learned
Google actions does not support streaming data. One would have expected streaming to have been easy as you could use Spotify with Google home and Google nest.
What's Next For Clubby FM
Moving away from Google actions and developing a standalone platform or application with more flexibility.
Built With
django
google-actions
Try it out
clubby.fm
github.com | Clubby | Music Discovery through scaled Word of Mouth | ['Joshia Seam', 'Agrim Singh'] | [] | ['django', 'google-actions'] | 8 |
10,295 | https://devpost.com/software/nokelebek-next-generation-vr-game-launcher | Inspiration
Future VR Center's customer loyalty need.
Comes from;
E-Sport + Tech, Challenge 5
Help VR centers to build player loyalty through cooperative or competitive mechanisms
Specs :
Players retention in VR centers is a key performance factor since returning players already have some experience playing the games. E-Sport can increase players retention through different ways including motivation to train, improving performances and measuring players against each other in competitions Help VR centers explore them to ensure players will come back while taking into account the importance of the social dimension of VR centers (people come and play with friends, family and colleagues).
What it does
Nokelebek is a project developed to enrich the experience of the gamers who play in VR Center. The people can collect XP's belong to VR Center, run with other players, and get their local stats. Players can get prizes and more games with their XP's.
Moreover VR game center keeps it for their customer loyalty.
Basicly, Nokelebek is VR game launcher with customer loyalty features.
How we built it
Unity game engine for creating the virtual reality game launcher with customer loyalty features. For frontend and backend works with integrations .Net, CSS, JS, HTML, C# are used.
Accomplishments that I'm proud of
As a team, we picked aspects that catered to each team member's area of expertise. The project was divided into modular portions which made the overall task less daunting to accomplish.
What we learned
The value of teamwork and the power of a simple concept.
What's next for Nokelebek: Next Generation VR Game Launcher
We hope to package the application in a distributable and make it public for others to enjoy!
We plan to incorporate biometric sensors e.g. integrated with your smart bracelet, to allow for more inputs to creatively control the game world
Team
Yigitcan Sener
Huseyin Yasar
Aysun Demirdogen
ToDo
[ x] 3 Rooms for users based on their loyalty
[ x] 3 Sections for users (Games, Profile, Gift Shop)
[ x] Intro menu
[ x] Scene design and implementation
[ x] Sound Effects
[ x] Background Music
ToFuture
Spotify component to play level oriented playlists (calm music on earlier levels, motivational musics on mid levels, and off -the chart musics for further levels (the playlists prepared as spotify public playlists)
Level oriented Ambient changes (basic skybox for earlier levels. Every level upgrade, skybox gets more sophisticated. At the highest levels skybox shows whole known universe)
Built With
.net
c#
css
html
javascript
spotify
unity
Try it out
github.com | Nokelebek: Next Generation VR Game Launcher | A VR game launcher with customer loyalty features | ['Aysun Demirdogen Sener', 'Yiğitcan ŞENER', 'Hüseyin Yaşar'] | [] | ['.net', 'c#', 'css', 'html', 'javascript', 'spotify', 'unity'] | 9 |
10,295 | https://devpost.com/software/vites | Inspiration
What it does
VITES (Video Integrated Technology for Esports Streaming)
is a cloud-based
VSPPaaS (Video Streaming Production Platform as a Service)
that enables pro esport players to stream and enhance their gameplay with real-time communications features without needing to build backend infrastructure and interfaces.
How I built it
Challenges I ran into
VITES
would need access to additional cloud services to scale the product in order to accommodate esports streamers with a large number of subscribers.
Accomplishments that I'm proud of
What I learned
What's next for VITES
Try it out
bitbucket.org | VITES | VITES (Video Integrated Technology for Esports Streaming) is a platform that enables esports players to stream their gameplay with real-time communications features without backend infrastructure. | ['Warp Smith'] | [] | [] | 10 |
10,295 | https://devpost.com/software/music-fest-v6awzj | FrontEnd
Inspiration
Voice assisted services for google home to discover new music and experience best music using amiable voice commands.
In order to avoid the bubble effect for each account it’s history of play/liked/shared/searched songs is stored using an ID for it’s type/song’s ID/artist’s ID.
Instigating recommender which suggests music/songs which hasn’t been played on the account over user’s command of explicit discovering or after normal play.
Inorder to mitigate the problem of choosing which new songs to recommend from a million new songs, we will use the account details as date of birth and will shuffle songs from the decade after the user’s birth so to catch the interest.
If the song is not been played again then the next shuffle will reduce the timeframe range from the birth inorder to capture the interest.
How I built it
Using dialogflow we created a webhook that takes voice instruction from google home and plays music. The data we are fetching through deezer api rest calls. And we have used node.js for server side coding.
Challenges I ran into
Integrating dialogflow and api calls for streaming music.
Accomplishments that I'm proud of
Successfully creating a prototype with the ideas we had in mind for overcoming the problems.
What I learned
Better understanding of the user requirements and how to provide better user experience.
Understanding the requirements and potential of new age entertainment apps.
Built With
deezer
dialogflow
google-home
heroku
node.js
Try it out
github.com | Music Fest | Main idea is to give better user experience by voice commands and also providing information about the songs. Moreover, avoiding bubble effect for the user. | ['Arsalaan Javed', 'shivam patel', 'sadiq mohammad'] | [] | ['deezer', 'dialogflow', 'google-home', 'heroku', 'node.js'] | 11 |
10,295 | https://devpost.com/software/simple-smart-contract | Inspiration: Building a smart contract
What it does: transferring of assets
How I built it: Using Stratis platform
Challenges I ran into: Using stratis platform and creating smart contracts on C
Accomplishments that I'm proud of: Creating a smart contract using C
What I learned: Creating a smart contract and learning C
What's next for Simple Smart Contract: Further modifications required
Built With
stratis | Simple Smart Contract | A smart contract designed and built on the Stratis platform | ['Sandeep Chakravartty'] | [] | ['stratis'] | 12 |
10,295 | https://devpost.com/software/808 | Inspiration
We saw that many music creatives found it difficult to create genuine and meaningful connections with other artists, producers, engineers, videographers, etc.
What it does
How we built it
Challenges we ran into
Accomplishments that we're proud of
What we learned
What's next for 808
Built With
amazon-web-services
mongodb
node.js
react | 808 | 808 is a music networking platform for music creatives to connect and collaborate. | ['Abhinav Goyal', 'Apurva Deshmukh', 'Saribek Hovakimian', 'tanishqsandhu Sandhu', 'Talia Tian', 'Shweta Murali'] | [] | ['amazon-web-services', 'mongodb', 'node.js', 'react'] | 13 |
10,299 | https://devpost.com/software/watery-doing-in-philly | Daily Water Usage Dashboard
Weekly Water Usage Chart
Competitive Water Usage Game
IoT Device Configuration Panel
Register/Login Page
Weather Prediction Public API
Inspiration
Water plays a big role in supporting our communities. Without water there would be no local business or industry. Fire-fighting, municipal parks, and public swimming pools all need lots of water. An array of pipes, canals, and pumping stations managed by our public water systems are needed to bring a reliable supply of water to our taps each day.
In the US, we are lucky to have easy access to some of the safest treated water in the world—just by turning on the tap. We wake up in the morning, take a shower, brush our teeth, grab a cup of coffee, and head out for the day. Water is an important part of our daily lives and we use it for a wide variety of purposes, but do we really understand how much we use?
The average American family uses more than 300 gallons of water per day at home. Roughly 70 percent of this use occurs indoors. An easy to way to understand individual water use is to look at your water bill—not just the amount due, but how much water you used.
What it does
Our project does just that and provides an easy-to-use all-in-one water consumption dashboard. Our contribution provides both an IoT hardware solution to place on water outlets around the house (sink faucets, showers, bathtubs, laundry units, toilets, etc.) as well as a software solution to view water usage and compete with friends.
The hardware solution is a small IoT device that attaches easily onto pipes attached to water outlets. These small devices connect to a master hub within the household logging water flow through the pipes and computes how much water is used throughout the day. It can either connect to a water hose (toilets, laundry units), thread in a shower head or can be dropped into the pipe of a sink. When dropped into the pipe of a sink it can help prevent water waste going down the pipes and act as an obstruction. Inside is a mechanical water flow meter using a turbine that rotates with a magnet on it and is monitored by the hall effect and will be logged into the gateway and then sent into the server and logged into the dashboard.
The software solution is a dashboard that shows charts of water consumption by device (sink, shower, laundry), which is unique to each household and can be tracked by logging into an account. In addition, we have a ML Autoregressive model that uses a LSTM to predict the weather hourly for the next 7 days for the following features: temperature, cloud amount, precipitation, and humidity. This data will be compounded with the water consumption per device to predict how much water usage will be used training on the weather data. We have shown preliminary results with some sample data and weather and with more data can train a more accurate model.
Lastly, in the web interface dashboard is a competition page that provides an educational game for water and wastewater learning. This provides a friendly competition for households to compete with one another in using the least amount of water per month and educates the user along the way on ways to reduce water usage.
Challenges we ran into
One of our biggest challenges was getting data to transmit wirelessly from the Arduino on the water flow module to the gateway efficiently. This was a large feat to have a small water flow sensor connect to an IoT gateway wirelessly but we were able to achieve it and it worked better than we could have hoped.
Another huge challenge was aggregating all the usages (water amount used) from each sensor into our server and displaying the data effectively in intuitive charts. This took a lot of debugging but we developed robust REST API endpoints that enable easy data logging and data visualization.
Accomplishments that we're proud of
Our greatest accomplishment is the overall UI and how native the live updating looks. We think that our UI helps educate the user with effective visuals and graphics that make it easy to understand and comprehend how they utilize their water.
What's next for Watery doing in Philly
We look forward to enhancing the game aspect of our project and introduce leaderboards that compare all users with filters for best in nation, best in state, and best in local area. Additionally, we are excited to see the improvements to our prediction of water usage and weather with our future weather predictions.
Built With
axios
express.js
material-ui
mongodb
mongoose
node.js
python
react
Try it out
github.com
prieur.ml | Watery doing in Philly | All-in-one water consumption dashboard that leverages a novel IoT hardware solution that can easily be placed on water outlets to visualize water usage and compete against friends in water reduction. | ['Zachary Smith', 'Stephen Hansen', 'Daniel Schwartz', 'Dennis George', 'Kristopher lopez', 'Damien Prieur'] | ['Philly Codefest 2020 Student Team Award', 'Predicting Water Usage Needs based on the Weather (American Water)'] | ['axios', 'express.js', 'material-ui', 'mongodb', 'mongoose', 'node.js', 'python', 'react'] | 0 |
10,299 | https://devpost.com/software/grow-n-track-u7962v | Webpage
A look into the Locust locator MAP (rep every spotting on locust over a time period)
LocustTrack
Our Vision :
Equipping every single farmer with accessible resources and aid them in making the right choices .
Q1. What is a locust attack/invasion/plague?
When the locusts start attacking crops and thereby destroy the entire agricultural economy, it is referred to as a locust plague/locust invasion. Plagues of locusts have devastated societies since the Pharaohs led ancient Egypt, and they still wreak havoc today. Over 60 countries are susceptible to swarms.
Q2. Types of locusts -
There are four types of locusts that create a plague – desert locust, migratory locust, Bombay locust, and tree locust. The desert locust is a notorious species. Found in Africa, the Middle East, and Asia, this species inhabits an area of about six million square miles, or 30 countries, during a quiet period, according to National Geographic. During a plague, when large swarms descend upon a region, however, these locusts can spread out across some 60 countries and cover a fifth of Earth's land surface.
Q3. How and when do locusts become harmful?
During dry spells, solitary locusts are forced together in the patchy areas of land with remaining vegetation. This sudden crowding makes locusts. Then, when rains return—producing moist soil and abundant green plants, locusts begin to reproduce rapidly and become even more crowded together. In these circumstances, they shift completely from their solitary lifestyle to a group lifestyle in what’s called the gregarious phase. Locusts can even change colour and body shape when they move into this phase. Their endurance increases and even their brains get larger. Locusts have huge appetites.One of these insects can eat its own weight in food in a single day.And they're devastating crops in East Africa, where millions of people are already considered food-insecure.
Q4. What is a locust swarm?
Locust swarms are typically in motion and can cover vast distances—some species may travel 81 miles or more a day. Locust swarms devastate crops and cause major agricultural damage, which can lead to famine and starvation. A swarm of desert locust containing around 40 million locusts can consume (or destroy) food that would suffice the hunger need of 35,000 people, assuming that one person consumes around 2.3 kg of food every day. In 1954, a swarm flew from northwest Africa to Great Britain, while in 1988, another made the lengthy trek from West Africa to the Caribbean, a trip of more than 3,100 miles in just 10 days.
Locust swarms devastate crops and cause major agricultural damage, which can lead to famine and starvation. Locusts occur in many parts of the world, but today locusts are most destructive in subsistence farming regions of Africa.
Q5. Locust Effect on Africa ?
The worst locust outbreak in generations has descended upon East Africa and the Horn of Africa. Without immediate action, 4.9 million people could face starvation this summer. This disaster comes at the worst possible time for countries like Somalia already facing the double emergency of food shortage and COVID-19. Seven facts about the situation on the ground:
1. Desert locusts are extremely dangerous –
These migratory insects inflict insurmountable damage in minutes. Even a tiny swarm consumes the same amount of food in one day as 35,000 people. Swarms have already destroyed hundreds of thousands of hectares of crops and pastureland in eight countries—Kenya, Uganda, South Sudan, Ethiopia, Somalia, Eritrea, Djibouti and Sudan—and threaten to spread wider.
2. Five million people are at risk of hunger and famine-
As of March, the locust infestation in East Africa has already damaged more than 25,000 kilometers of cropland. Without swift intervention, populations will face mass starvation this summer.
3. A new swarm is hatching –
A fourth generation of locust eggs is now hatching, which experts predict will create a locust population 8,000 times larger than the current infestation.
4. Somalia will likely be hit hardest –
The Somali government was first in the region to declare a nationwide emergency in response to the desert-locust crisis. Without humanitarian assistance, 3.5 million people are projected to face food crisis between July and September. The region is already overwhelmed by cycles of widespread violence, drought, floods, chronic food shortages, and disease.
5. This the worst outbreak in 70 years –
Without expedited preventative measures, swarms will migrate from East Africa to West Africa. “This is the worst locust invasion we have seen in our generation,” says Sahal Farah of Docol, an IRC partner organization. “It destroyed pastures, contaminated water sources and [has] displaced many pastoral households. The worst of all is that we do not have the capacity to control it, and so far we have not received any external support.”
6. Women face increased risk –
If harvests fail, the IRC estimates that 5,000 households, especially those led by women, will need urgent humanitarian assistance by August. As food prices skyrocket, women and girls will face an increase in violence and theft as their partners are forced to travel in search of food and work. Additionally, women will be forced to take on additional responsibilities in managing existing farms or small businesses, even as they tend to the needs of their families.
7. More funding is necessary to stop widespread famine –
The IRC is calling for $1.98 million to alleviate the desert-locust emergency in Somalia in 2020. We are also appealing to the United Nations and affected countries to continue technical analysis of locust movements along with continued information sharing—before it is too late.
Q6. Crop Failure and Hunger Famine In Africa .
In Africa, hunger is increasing at an alarming rate. Economic woes, drought, and extreme weather are reversing years of progress so that 237 million sub-Saharan Africans are chronically undernourished, more than in any other region. In the whole of Africa, 257 million people are experiencing hunger, which is 20% of the population.
Successive crop failures and poor harvests in Zambia, Zimbabwe, Mozambique, and Angola are taking a toll on agriculture production, and food prices are soaring. In the past three growing seasons, parts of Southern Africa experienced their lowest rainfall since 1981.
As a result of these dire events, 41 million people in Southern Africa are food insecure and 9 million people in the region need immediate food assistance. That number is expected to rise to 12 million as farmers and pastoralists struggle to make ends meet during the October 2019 through March 2020 lean season.Close to five million people in East Africa could be at risk of famine and hunger as the ‘worst locust invasion in a generation’ continues to destroy crops, contaminate water sources and displace thousands of households, a new report has warned.The infestation, which first appeared in the region last June and has already passed through a number of generation cycles, is feeding on hundreds of thousands of hectares of crops across at least eight countries.
HISTORY OF FOOD FAMINE –
• 2011 to 2012 — The Horn of Africa hunger crisis was responsible for 285,000 deaths in East Africa.
• 2015 to 2016 — A strong El Niño affected almost all of East and Southern Africa, causing food insecurity for more than 50 million people.
• 2017 — 25 million people, including 15 million children, needed humanitarian assistance in East Africa. In September, inter-communal conflict in Ethiopia led to more than 800,000 people becoming internally displaced.
• 2018 — Africa was home to more than half of the global total of acutely food-insecure people, estimated at 65 million people. East Africa had the highest number at 28.6 million, followed by Southern Africa at 23.3 million, and West Africa at 11.2 million.
• 2019 — Food security is deteriorating and expected to worsen in some countries between October 2019 and January 2020.
Locusts attack across the world
By the end of 2019, there were swarms in Ethiopia, Eritrea, Somalia, Kenya, Saudi Arabia, Yemen, Egypt, Oman, Iran, India, and Pakistan
As of January 2020, the outbreak is affecting Ethiopia, Kenya, Eritrea, Djibouti, and Somalia. The infestation "presents an unprecedented threat to food security and livelihoods in the Horn of Africa," according to the United Nations Food and Agriculture Organization.
Kenya has reported its worst locust outbreak in 70 years, while Ethiopia and Somalia haven’t seen one this bad in quarter of a century.
They are now heading toward Uganda and fragile South Sudan, where almost half the country faces hunger as it emerges from civil war. Uganda has not had such an outbreak since the 1960s and is already on alert. Uganda has not had to deal with a locust infestation since the ’60s so there is concern about the ability for experts on the ground to be able to deal with it without external support
In a country like South Sudan, where already 47% of the population is food insecure this crisis would cause devastating consequences.
Q7.How can locust swarming/attack be prevented?
Weather patterns and historical locust records help experts predict where swarms might form. Once identified, an area is sprayed with chemicals to kill locusts before they can gather.
Historically, locust control has involved spraying of organo-phospate pesticides on the night
resting places of the locusts.
Intervention in the early stages of a locust outbreak is generally advised.This reduces the amount of pesticide to be applied because the locusts are localized over a relatively smaller region.
As an outbreak continues to develop first into an upsurge then into a plague,more and more countries are affected and much larger areas need to be treated. Nevertheless a preventive strategy may not always be effective.Access to infested areas may be limited due to insecurity;financial and human resources can’t be mobilized quickly enough to control an outbreak in time;or weather and environmental conditions are unusually favourable for locust development so the national control capacity is overwhelmed.
So,what can be done?
HERE COMES THE USE OF LOCUST LOCATOR
Locust swarm attcks can be prevented with early monitoring of the breeding grounds of the insects. Now,United Nations is already doing this work. Through various ground,air and satellite surveillance techniques,image processing methods,data analysis and a diversified modus operandi,scientists,researchers,biologists are working day in and day out in order to build a model,or a method so that these attacks can be prevented,before they grow to wreck massive destruction and havoc.
But,the common man cannot comprehend the need or purpose behind all this.
This is a situation where experts with years of experience,modern technological software,methods and tools at their disposal are still baffled by the unusually high outbreak of the locusts this year.
So what can we expect from an ordinary let alone an illiterate person to do ?
How can they know how to save themselves from this raging menace?
How can we ensure that they - the pillars of support of this entire urbanised culture and people; survive and continue to prosper?
Here’s where our application is useful.
By making an application in their local language and making it easy to use, we remove any challenges the locals might face while taking advantage of our app.
Q8.But,why did we do this?
Being fortunate enough to be able to use technology amidst the comfort of our living conditions,we were discussing about the havoc that this year had bestowed upon humankind,starting with Australian bushfires to COVID-19.
And we yearned to do something,in order to make the world a slightly better place,than what it was. We knew that we couldn’t be frontline warriors of Coronavirus alongwith doctors and other personnel,since none of us are associated with medical background. But we had the belief that using our knowledge in the fields of data science,database management,app development;to name a few,we could atleast try to do something to give back to society,and thus was born..GROW N TRACK.
So,while browsing for things we could do,we stumbled upon this idea and saw the wonderful initiative Microsoft and the African Literacy Project had taken to organise this Hack for Africa global event.
Q9.What do we do?
Essentially, we track locust and send warning message to the registered users.
From the satellite data available,we obtain the locusts location.
We keep a record of the user location and when the locust enter the vicinity of the user we warn them via text and whatsapp.
For now we used Whatsapp but if we can implement the project with funding and resources then we plan to use normal text messages.
Q10.How warning them is useful ?
It helps them take necessary protection to save themself from such adversities.
Also,it has a vital role to play in formulation of future plans
We implemented machine learning in our tracker to predict the direction of movement a couple of days before it happens and try to predict the next possible mass breeding spots.
We also plan to have a feature in which a user can mark a place where they spot the locusts and if we get same marking from a specified radius of the users we alert the concerned authorities and mark the place in our map.
By analysing the data,we found that locusts infested only specific crops,and only during specific time periods of the year. By correlating that with the pH of the soil in those areas,we were successful in building an algorithm that would help them to decide the best crop to be planted according to the pH of the soil,so that they could yield the maximum profits out of their crops,all the while being protected from the problem of locusts ruining their hardwork.
As of April 2020, efforts to control the locusts are being hampered by ongoing restrictions in travel and shipping due to the COVID-19 pandemic, contributing to the global coronavirus food crisis. Hence,if we can implement Grow N Track,then surely we can put a huge leap in bringing the whole world to normalcy if the nations can slowly go back to their food production levels before the disaster and hence resume trading activities of food and other products.
Q11. Who are we?
Visit the developers page to know more about us and contact us .
We love to work on Projects that helps improve people's lives and leaves a good impact in this world.
Regards-
Kartik Agarwal , Anush Krishnav.V , Indrashis Mitra , Nima Pourjafar
Built With
css
flask
html5
javascript
php
python
sql
Try it out
grow-n-track.herokuapp.com | LocustTrack | An efficient web app that provides farmers make better choices and save their work from locust attacks . | ['Kartik Agarwal', 'Nima Pourjafar', 'anush krishna v'] | ['Philly Codefest 2020 Collaborative Award', 'Philly Codefest 2020 Best Hack for Social Good', 'Bring ESG funds to the spotlight (Vanguard)'] | ['css', 'flask', 'html5', 'javascript', 'php', 'python', 'sql'] | 1 |
10,299 | https://devpost.com/software/renewable-energy-qtbya3 | Inspiration
As humans, water is essential to everyday life and the environment. Access to safe water has become even more critical especially as we're all stuck at home during this pandemic. Having access to good quality water can also minimize medical expenses for our family and pets, and help maintain the efficiency of appliances at home.
Unfortunately, access to clean water can be an issue for many. Contaminated water occurs more often than you think. There have been several issues with water quality recently in places like Philadelphia and Montgomery County. Water quality information isn’t easily accessible to the public and can be very hard to find. Even if you do find the local water quality report for your area, it tends to be very long and confusing. That's why we created WaterWiZ!
Visit us today at
phillywaterwiz.com
!
What it does
WaterWiZ gives people easy access to otherwise hard to find water statistics. Our website collects and stores data on 22 water systems and treatment plants, covering 4 water suppliers in the greater Philadelphia region. Using our map page, you can find the closest water system that serves your community. Our water suppliers webpage has a list of all the suppliers and the areas they serve organized by counties and water systems.
At WaterWiZ, we believe everyone has a right to know if their water is safe. Our website has a simple and straightforward organization that makes it easy for anyone to get instant data from their local water system and see if their water is safe to use. Not only do we provide easy access to this data, but the page has ideal values listed alongside the actual reported data. We have also included simple explanations about what the critical parameters and values mean for each of the recorded statistics so that everyone can understand what's in their water.
How we built it
WaterWiZ was developed entirely from scratch using HTML, CSS, Javascript, and the Google charts and maps APIs.
Challenges we ran into
Since we are all freshmen at Drexel starting college remotely, forming a team was hard and took a long time as we didn't know each other before this project.
Water quality information is scarce and not easily accessible, so the biggest challenge we faced in building WaterWiZ was acquiring all the critical water parameters and statistics for each county and system. We found that even when we called each water supplier directly to get information about water quality, they were unable to give us this information quickly and took a while to get back to us. We spent several hours as a team collecting and organizing all the data and parameters for WaterWiZ to bridge the critical need to provide updated water quality information so that anyone can see what's in their water.
Accomplishments that we are proud of
Despite some of the initial hurdles we faced in getting started, Team WaterWiZ is very pleased to have developed a project that will hopefully contribute to the well-being of every individual, family, and community. The long hours that went into research and developing the website are well worth it knowing that anyone can now easily check if their water is safe to use. We are also proud of the unique design of our website and the organization of the data and parameters on our pages.
What we learned
We learned a lot about what is actually in the water that we consume on a daily basis, who supplies water in each area, and what it means for water to be safe to use according to EPA standards. This was the first software project for some of us, so we also learned how to work with a team on GitHub and how to create and host a website from scratch.
What's next for WaterWiZ
Our site allows us to easily plug-in data so we can keep it running with up-to-date water data. We hope to directly work with each water supplier to provide real-time updates about water quality information. We also hope to make this a nation-wide website that can automatically trigger notifications to every house hold in a certain area when there is an issue with water quality.
Built With
css
google-chart
google-maps
html5
javascript
typescript
Try it out
phillywaterwiz.com | WaterWiZ | Do you know if your water is clean? Contaminated water occurs more often than you think, but the data is tough to find. WaterWiZ is a one-stop center of information for easy-access water statistics. | ['Abe Jeyapratap', 'Ryan Magilton', 'Louis Jorge', 'Claire Toomey', 'Eric Rabil'] | ['Philly Codefest Freshmen Challenge'] | ['css', 'google-chart', 'google-maps', 'html5', 'javascript', 'typescript'] | 2 |
10,299 | https://devpost.com/software/snap-n-reuse | Inspiration
We thought that
reusing waste items
should be a frictionless experience. Today, there is a need for adapting reusability practices which are simple and easy due to the following reasons
hyper-consumerism in 21st century
lots of waste
oceans polluted with plastics
climate change
reusing is time consuming for people
recycling not always an option
Can be used as an educational tool by teachers to impart practical/real-life environmental education.
During times of COVID, co-curricular activities, labs are not being held like before as classes are remote, so teachers can use Snap N' Reuse to encourage kids to make DIY stuff, utilize waste items at home, which'll also help in reducing their carbon footprint and they'll be encouraged to lead a greener, sustainable life from a young age.
It also helps in reducing waste on earth, reducing carbon footprint, reduce ocean pollution due to plastic, increasing Circular economy. Educating people of all age groups about the importance of reusing, especially youngsters.
What it does
Our app takes images of waste items as input, passes them to an ML model for predictions, and then gives recommendations on how to reuse that item to make something useful.
This helps in increasing reusability of waste household items which people normally throw away.
The UI of our webapp has a
simple 3 step process
:
application takes an image of a waste item from the user
our custom ML model runs inference on the image and predicts the waste item.
based on the type of waste item, curated instructables are fetched for reusing that item
How we built it
TL;DR
Used
TensorflowJS
for our custom ML model.
Python
for scraping images and article links. Made webapp with
HTML,CSS,JS
. Deployed via
Github+Netlify
.
Detailed Explanation
First, we gathered a total of ~500 images belonging to 6 categories of waste items (
cardboard, paper,glass jar, plastic bottle, plastic container, glass bottle
) from Google images. Then we trained our ML model on these images and got an accuracy of 90% and converted this Tensorflow/Keras model (.h5 format file) to a tensorflow.js model(which is in our github repo).
We also gathered links to curated instructables on "how to reuse" the above 6 waste items and stored it in a JSON file (which is in our github repo)
Then we built the webapp with html,css,JS in which the user will be able to upload images or click images from webcam, phone camera and get recommendations on how to reuse that item.
Challenges we ran into
During the development, we encountered problems while training our ML model and while integrating the Camera/Snap feature on the web app and some other issues while using Javascript.
We were training our own ML models on our own datasets. Initially, our model had really bad accuracy and was not ideal for deployment. Also, though we had experience with ML, we hadn't used Tensorflow/Keras much (as we mostly use PyTorch). Some issues were ML related and some issues were just due to some depreciated code (tensorflow 1.0 vs tensorflow 2.0 errors).
Eventually, we were able to figure out solutions to these challenges by going through tensorflow documentation, github issues, and stackexchange. We got a model accuracy of 90% and also learnt Tensorflow along the way!
We also encountered some issues while integrating the camera-snapshot feature in javascript, which took a lot of time and going through stackexchange etc to finally resolve.
Accomplishments that we're proud of
We're proud of the fact that we were able to make a full-stack ML web application. We aren't too good in Javascript, so we're quite satisfied that we got all the features working.
We also learnt how to integrate Tensorflow.js into webapps to make light-weight, client-side ML webapps. All these skills will come in handy in future projects.
Finally, a good project/product should focus both on the engineering and design aspects (UI,UX). We put in a lot of effort to make sure that the user experience, onboarding is smooth when they use our app "Snap N' Reuse".
We also incorporated elements of neumorphic design to give the user a delightful experience.
What we learned
We learnt how to train ML models using Tensorflow-Keras and then converting those models to Tensorflow.JS format, which can then be easily integrated in a web application.
We also learnt how to integrate Camera mode in a webapp and get ML predictions on the images taken by the user via webcam by passing the image captured to the ML model for inference using Javascript.
What's next for Snap N' Reuse
There are a lot of future prospects and scope for additional features.
multi-object detection to make the user experience even better. A user will be able to detect multiple different items in one image and get recommendations to reuse all the items in the image!
add a social layer, gamification to increase participation of people.
build an open public database for spreading awareness among the general public against generating a lot of waste
Built With
css
git
github
html
javascript
keras
netlify
python
tensorflow
tensorflowjs
Try it out
snap-n-reuse.netlify.app
github.com
www.canva.com | Snap N' Reuse | Problem: a lot of waste. Solution: our app Snap N' Reuse It is the Google Lens for waste reuse. An app which uses machine learning to identify type of object, and then give recommendations to reuse. | ['Shashank Agrawal', 'Ashish Ohri'] | ['Drexel CCI Corporate Partners Program - Most Innovative Project'] | ['css', 'git', 'github', 'html', 'javascript', 'keras', 'netlify', 'python', 'tensorflow', 'tensorflowjs'] | 3 |
10,299 | https://devpost.com/software/smartfridge-reduce-food-waste | SMART FRIDGE
Mange Your Fridge Smarter
All Ingredients in 1 App
Meal Planner - Plan Ahead - Save Time
Auto-generate Shopping List
Inspiration
In the United States, food waste is estimated at between 30-40% of the food supply (figure from the FDA). Our biggest inspiration stems from our concern about the environment and how we can make simple lifestyle changes be more responsible about our consumption. SmartFridge app is a solution that makes meal-planning convenient, intuitive and sustainable. We create a logistic app that lets users monitor their food resources with ease. By scanning users' food inventory at home via picture input, the app will classify its users' food into categories, come up with suggested cooking recipes depending on the available food, prioritize food that will go bad soon, and send out alerts once the user's fridge is running low or going to expire. With the aforementioned features, SmartFridge app is the all-in-one solution for people to keep track of their fridge, have a more diverse meal plan, and reduce personal food waste.
What it does
SmartFridge has 5 main tabs, which are "Scan", "Ingredient", "Meal Plan", "Shopping List", and "Profile" tabs.
Scan
: Scan images of food ingredients and add to inventory. Integrate image processing functionality through TensorFlow.js to optimize user input step.
Ingredient
: Let user easily monitor available food in their home kitchen.
Meal Plan
": Suggest recipes that match existing ingredients, bookmark favorite recipes, manage weekly meal plan.
Shopping List
: Auto-populated with ingredients user still need for meal plan. Integrate Google Map API to navigate closed-by grocery stores.
Profile
: Summary status of fridge like remaining capacity, prediction of number of days until next shopping trip, number of items expiring very soon, manage ingredients used in the week's meal plan.
How we built it
We built a cross-platform mobile-app using React Native and Expo. We also used spoonacular API to suggest user with cooking recipes, Google Map API to locate nearby stores, and TensorFlow.js for image processing. The back-end of the app is managed through SQLite and Redux. Its main function is to record the food resources of the users and interact between different components of user interaction.
What we learned
React Native, JavaScript, Expo, spoonacular API, Google Map API, SQLite, Redux, TensorFlow.js
What's next for SmartFridge - reduce food waste
There are still many functionalities we want to add or optimize. We will need to make improvement to our front-end for a better user interface, and build our own cloud database to store more high-quality recipes and data about our users' preferences.
Built With
expo.io
google-maps
image-processing
javascript
node.js
react-native
redux
sqlite
tensor-flow
Try it out
github.com | SmartFridge - Reduce Food Waste | Eliminate Food Waste - Promote Better Health - Meal Planner - Quality Life | ['Nom Phan', 'Quang Luong', 'Blake Hieu Nguyen', 'Ari Nguyen'] | ['The Wolfram Award', 'The Benefits and Costs of Going Digital (Boomi, a Dell Technologies business)'] | ['expo.io', 'google-maps', 'image-processing', 'javascript', 'node.js', 'react-native', 'redux', 'sqlite', 'tensor-flow'] | 4 |
10,299 | https://devpost.com/software/testing-q1gn5v | AquaQuant: A Cheap, Easy to Use Water Usage Quantifier
https://aquaquant.herokuapp.com/
AquaQuant is a water utilization quantification/tracking platform that aims to help people conserve more water. Use IoT sensors to automatically track your water usage or use the platform to just manually keep track of your usage.
Background
As droughts become more
common
and fresh water becomes more scarce, it is now more important than ever before to manage our water carefully.
Unfortunately, current water monitoring solutions are either too expensive or difficult to setup for the average consumer. Commercial water monitoring products can cost anywhere from \$200 to
$700
for a
single
sensor.
Furthermore, currently there is also a lack of water monitoring solutions offered in marketplace for the average consumer. Of the 5 water monitoring apps mentioned in
this
article, only one still actually offers a water monitoring solution; but even this platform only offers supports for a handful of areas mainly in CA and TX (none in Philly). The service mentioned in the article is also mainly targeted towards large utility companies and not the everyday consumer, so if a consumer uses a utility company that doesn't support the app, then the consumer is out of luck.
Thus, this platform hopes to provide a low cost water monitoring solution for the everyday consumer. Also, by utilizing low cost (Internet of Things) IoT sensors, you can get a detailed breakdown of exactly how much water each faucet, shower, and toilet uses in a given day, week, or month, unlike most commercially available water monitoring products.
Note: The IoT sensors are optional. The water usage tracking dashboard also allows users to manually tap on and off whenever they turn the faucet/shower on or off.
People track their finances and expenses with a budget or planner; in the same way, we hope people can do the same with water usage by tracking exactly where their water goes.
How it Works
The IoT sensors work by detecting vibrations within the water pipes since whenever there is water flowing, there will be vibrations. The sensors then times how long these vibrations last and use this along with the flow rate of the water source to calculate the total gallons used. This allows for non-invasive sensors and very easy installation. While a hall effect sensor or turbine sensor would give accurate flow rate readings, our unique vibration sensors don't require any disassembly of pipes or plumbing knowledge, which makes it much more friendly to the average consumer. Instead of having to disassemble your whole sink and finding out what kind of pipe adapters to buy to fit your sensor, our IoT sensor simply attaches to the outside of the pipe allowing for quick and easy installation. Vibration sensors (\$3 per sensor) are also much cheaper than traditional turbine sensors (\$10 - \$30 per sensor). While hall effect/turbine sensors might provide a better alternative for businesses, most home users can benefit from the simplicity of our vibration sensors.
The IoT sensor utilizes cheap (\$3) WiFi modules and a piezo vibration sensor that converts mechanical energy to electrical signals in order to communicate via a custom built REST API. The dashboard then allows for monitoring exactly which devices are currently on and how water usage changes over time.
The water flow rate of most water sources (e.g. faucets, showers, toilet flushes) are pretty much constant, so all you need is the time the water source is on to calculate the total amount of water each device uses. For example, one toilet flush is approximately 5 gallons and one minute of a bathroom faucet running is equivalent to 2 gallons used.
Although vibrational sensors were the main IoT sensors used during testing, it is possible to utilize hall effect/turbine sensors for the dashboard (this has not been tested though).
A 2020 Philly Codefest Submission
Code Installation
$ git clone --recurse-submodules -j8 https://github.com/jshin313/AquaQuant
$ cd AquaQuant
$ cd static && npm install
$ cd node_modules/react-calendar-heatmap && npm install # Do this everytime npm install is run for some reason
$ cd ../../
$ npm run watch
$ cd AquaQuant # In new terminal
$ virtualenv -v venv && source venv/bin/activate # Optional
$ pip3 install -r requirements.txt
$ python3 run.py
Browse to
http://localhost:5000
to view the website
Sensor Setup
Simply use mastic or putty clay to attach the vibration sensor to the outside of the water source's pipe.
TODO
Add estimated cost analysis
For the hackathon lots of things that are hardcoded could be made more responsive and dynamic
Add SnackBar after clicking save/cancel buttons for the Stopwatch
Add authentication (login accounts) and security stuff
Credits
Dashboard Template:
https://github.com/mui-org/material-ui/tree/master/docs/src/pages/getting-started/templates/dashboard
Hello Template:
https://github.com/Eyongkevin/hello_template
Heatmap:
https://github.com/tanykim/quantify-your-year
(Couldn't get this one working, but tried to copy some aspects of this)
Calendar Heatmap:
https://github.com/freeCodeCamp/react-calendar-heatmap/tree/fix/off-by-1-issues
Material UI:
https://material-ui.com/
React Router Example:
https://codesandbox.io/s/l9m3zrj4lq
Stopwatch Code:
https://wsvincent.com/react-stopwatch/
Async SocketIO stuff:
https://www.shanelynn.ie/asynchronous-updates-to-a-webpage-with-flask-and-socket-io/
Ideas:
https://www.instructables.com/Low-Cost-Water-Flow-Sensor-and-Ambient-Display/
and
https://www.reddit.com/r/arduino/comments/jhxr3r/can_you_use_ultrasonic_sensors_to_detect_water/
Built With
flask
python
react
socket.io
webpack
Try it out
aquaquant.herokuapp.com
github.com | AquaQuant | AquaQuant is a water utilization quantification/tracking platform that aims to help people conserve more water. | ['Jacob Shin', 'Nathan Shin'] | ['Using IoT devices and technologies, identify and suggest ways of reducing water waste within a household (or business) (American Water)'] | ['flask', 'python', 'react', 'socket.io', 'webpack'] | 5 |
10,299 | https://devpost.com/software/aqua-v2-0 | Aqua-Thumbnail
Sign In Screen
Sign Up Screen
Home Page | Cards Screen
Slided Cards
Create a New Card Screen
Payment Screen - Stripe Integration
Inspiration
Water
, the core element of survival for living beings on the planet and only 2% of the total water available is fit for drinking. Pure drinking water is scarce and expensive in some parts of the world.
Plastics
, the root cause of
Global Warming
is the main reason for drastic weather changes across the world ranging from solar flares to untimely sea tides. On an average, 275 million ton of plastics is dumped into seas every year out of which a majority of them are drinking water bottles.
In the United States, the Cost for 1L of water is $1.44 which is really high compared to other countries, thus through
Aqua-v2.0
we plan to distribute pure drinkable water to the citizens in a new manner while following the
contactless
way to get it.
Many people across the world do not have access to safely managed drinking water and it is mostly due to the lack of resources. Thus to overcome this, we built Aqua.
Also to add to all these, our project is completely dependent on
Solar Energy
to power the Pump and in the future, we plan to use Solar energy for powering the Raspberry Pi Zero.
What it does
Aqua-v2.0
, a smarter and a better way to water is an end to end solution which helps a person to get water from nearby Drinking Water Kiosks through IoT based dispensing and helps a user track the amount of water consumed as well as the
Number of Bottles he/she has Saved
.
A user can generate a QR-Code when he/she signs-up and then uses that in his/her water bottle. When scanned using the Aqua app, the response will be sent to a
Raspberry-Pi
controlled module, which is responsible for dispensing the right amount of water to a bottle. The person can pay towards the water bottle using the in-app payment gateway and
50% of the payment goes towards Charities working towards Saving Water, Reducing Plastic and more
.
How we built it
After we got the idea, we made a list of the components, tools which we need and then procured the hardware parts.
Then we designed the app using Adobe Xd, Adobe Photoshop. Once the initial designs were done, we set-up the project using Facebook's React Native mobile framework. At first, the initial set of screens were done and then Firebase was setup for the backend part.
While we were developing the app, we also focused upon the hardware section, linking Raspberry-Pi to a submersible pump and then initializing it with a python script and once it was done, we linked the script with our Firestore Database and set it up to work dynamically in real time. We also integrated payment gateway to the app to support for purchase of credits towards buying water through the app.
We also built another application using React-Native for the dispenser part to support for scanning of the QR-Cards shown by the user. The App only scans QR-Codes supported through our application and if any other QR Code is used, it gives a Invalid Message through Audio Feedback to the user
Challenges we ran into
The most difficult part was the linking of Raspberry-Pi with Firebase to get the real time updates through snapshots and from these updates, run the submersible pump.
Integration of payment gateway using Firebase functions.
We designed the whole enclosure using waste parts i.e. Paint Boxes and used Cardboard for the aesthetics part.
Accomplishments that we're proud of
We had set some milestones for ourselves during the whole process, one thing we are definitely proud and happy is that we successfully linked the Pi Board to Pump and we were able to get it to function according to our needs :)
The integration of payment gateway with our app with proper security and working of it.
We used less power and relied mostly on using
Renewable Source
of Energy i.e.
Solar Energy
What we learned
Some aspects of the projects were new to us and we had an amazing time building it. We learnt to link the Raspberry-Pi board with the firebase document to fetch the real time data from it and coordinate the data with the submersible pump.
We learnt to integrate one of the largest payment gateways in the world, Stripe into our app to support for in-app purchase credits to be used to get water.
What's next for Aqua - Smarter H20
Make it public, get on-board with the government agencies and add support for larger water kiosks.
Power the whole setup using Solar Energy.
Built With
adobe-illustrator
firebase
google-cloud
javascript
photoshop
raspberry-pi
react
react-native
renewable-energy
solar-energy
Try it out
github.com
github.com | Aqua-v2.0 | A Better & Smarter Way to Water | ['Adithya Krishna', 'Chirag Chandrashekhar', 'Karthik Ravishankar'] | ['IBM/Clinton Foundation - Climate Change Solution'] | ['adobe-illustrator', 'firebase', 'google-cloud', 'javascript', 'photoshop', 'raspberry-pi', 'react', 'react-native', 'renewable-energy', 'solar-energy'] | 6 |
10,299 | https://devpost.com/software/dh | Inspiration
People often panic during natural disaster occurrence. We designed this application to help users and other Local community members suffering from Natural disaster.
What it does
The Application allows the community members to create a post requesting for help. This post is broadcasted to all the registered users on the platform to see who cares to help either by giving out information's about exit routes or some other ways.
The application leverages
IBM watson Text-speech, Ibm Watson Language Translator and IBM Watson tone Analyzer
to help users to provides more help to each other in the post.
How I built it
The application was built in php, mysql, ajax and jquery leveraging some IBM Watson Technologies listed above
Built With
ajax
bootstraps
google-maps
ibm-watson-language-translator
ibm-watson-text-speech
ibm-watson-tone-analyzer
ibm-weather-company
jquery
mysql
php | Disaster Help | Educate People suffering from Natural Disaster | ['fredrick esedo'] | ['IBM/Clinton Foundation - Climate Change Solution'] | ['ajax', 'bootstraps', 'google-maps', 'ibm-watson-language-translator', 'ibm-watson-text-speech', 'ibm-watson-tone-analyzer', 'ibm-weather-company', 'jquery', 'mysql', 'php'] | 7 |
10,299 | https://devpost.com/software/watwe-the-green-search-engine-philly-codefest | Inspiration
Climate change is a very pressing issue that if not addressed soon could have catastrophic consequences in our future
According to
2019 Porter Novelli/Cone Gen Z Purpose Study
90% of people in the Gen Z Generation believe companies must drive action on social and environmental issues
Gen Z will make decisions on what brands to buy and use based on how a company is helping tackle the issue of climate change
So we thought what if there was a measurable way to find out how much a company is investing into combating climate change and know what actions they are taking?
Currently there is not a place where you can quickly search for company and find out exactly what actions they are taking to help combat climate change and provide a measurable metric to easily indicate which companies are sustainable.
What it does
WATWE is a search engine that provides a calculated unbiased total WATWE score and environmental headlines for any company the user asks for.
WATWE Score
The total WATWE score is calculated by doing an internet search for articles about the company using the following five environmental issues as search keywords:
Water (ex. clean water access, waste water management)
Agriculture (ex. agriculture pollution, green farming, food security)
Transportation (ex. green transportation technology, reducing emissions, public transportation infrastructure)
Waste (ex. recycling management, composting)
Energy (ex. renewable energy, energy consumption reduction technology, clean air)
WATWE Headlines
WATWE uses the following news sources in its calculation:
Google News
Business Insider
Fortune
BBC
CNN
Fox News
ABC News
Tech Crunch
The Verge
How it works
WATWE uses the first 5 articles from each category search and sends the text over to IBM Watson to calculate how positive an article is. The Total WATWE Score is the sum of all of the tone calculations IBM Watson provides.
How we built it
Amazon Web Services
Amazon API Gateway
AWS Lambda Functions (JavaScript and Python)
DynamoDb
Alexa Custom Skill with APL Integration
Google Custom Search
IBM Watson
NewsPaper3K
AWS SDK
Axios/Fetch
Flutter
Challenges we ran into
Challenge: NewsPaper3K API unable to read text from non news websites
Solution: Use Google Restricted API and limited the search to just a few news sources
Challenge: API Gateway has a max timeout of 29 seconds
Solution: Created a search cache with DynamoDB so that Get Request does not do a full search for companies that were already previously searched
Challenge: Alexa Response has a max timeout of 8 seconds
Solution: Created an additional lambda function so that Post Request can respond very quickly and still have the creation in progress without waiting for a response back
Accomplishments that we're proud of
Building a fully functional Alexa App with APL Integration that uses a ton of cool technologies including Amazon Web Services, Google Custom Search, and IBM Watson.
The fact we were able to finish a phase 1 of the application that literally does a google search for 25 articles, takes the text the from those articles, and has IBM apply tone analysis on each of those articles in rapid time is a huge accomplishment.
What we learned
We had very little experience with Amazon Web Services and no experience with Alexa Development, IBM Watson or Google Custom Search so this was a complete learning experience using technologies that we had little to no experience with which made completing the project all the more rewarding.
What's next for WATWE - The Green Search Engine
Train a Custom Machine Learning Model to improve accuracy in search and score calculation
Ability to authenticate and keep history of searches
Ability to export searches into a PDF Report
Compare multiple companies/multiple searches at once
Add last search date and refresh a record if the last search was over a week
Build a daily leaderboard to display the top company scores
Ability to donate to environmental charities
More variety of sources and methods for calculating the WATWE score like the company's website/blog and social media
Built With
amazon-alexa
amazon-api-gateway
amazon-dynamodb
amazon-web-services
aws-lambda
flutter
google-custom-search
ibm-watson
javascript
python | WATWE - The Green Search Engine Philly Codefest | WATWE provides users a way to search for what actions a company is taking to combat climate change by calculating a total score in the areas of water, agriculture, transportation, waste, and energy. | ['Kevin Carrier', 'Lenny Ramos', 'Hai Dang', 'George Keenan'] | ['IBM/Clinton Foundation - Climate Change Solution'] | ['amazon-alexa', 'amazon-api-gateway', 'amazon-dynamodb', 'amazon-web-services', 'aws-lambda', 'flutter', 'google-custom-search', 'ibm-watson', 'javascript', 'python'] | 8 |
10,299 | https://devpost.com/software/phillymiles | loginpage
logo
join page
GIF
rankanimation
GIF
colourchangeanimation
GIF
coulorchange
Inspiration
Growing up my family wasn't always the most active but after a recent health scare my father had, we decided to change our family culture. We began eating healthier and eating less. We also created a family gym night where we would jog to the beach and do workouts there. My father downloaded a health app so he could track how many steps he took per day. To my surprise, this completely changed his daily routine. He began walking to work, rather than using his car. Every Sunday he would get up early and walk to church whenever the weather was favorable. He began using his car less and less until he only ever touched it when he had a long distance to travel. The reason for this drastic change was his competitive nature and drive to beat his weekly number of steps and distance walked. Not only was this great for his health, but it was wonderful for the environment. If could take advantage of this competitive nature in people and drive the usage of cars down, I could do wonders for the environment.
What is PhillyMiles
PhillyMiles allows members of a community, family, friend group, or organization to create a group, easily, and allow others with the access code to join in. The app counts the number of steps of each user throughout the day and ranks them on a colorful list. This process is done automatically and seamlessly without any input from the user. Whoever is in first play gets to change their color and the color of others. The ranking system is done automatically and with beautiful Philly-centric animations
How I built it
We built PhillyMiles using Android Studio for the front end and firebase to handle backend server-side processes. We also used ms paint3d for the animation assets.
Challenges I ran into
I faced a great challenge getting the app to count the steps and record them accurately and upload the data to the server seamlessly. I tried to remove the user as much as possible from the actual counting and uploading process to make the app as simple as possible
Accomplishments that I'm proud of
I learned how to access sensor data within android smartphones
A Greater understanding of the Android Studio IDE
The design and animations used in the application
What I learned
How to handle backend services
Control and manipulate sensor data(accelerometer)
How to animate static views in an android UI
What's next for PhillyMiles
We are currently in the process of reviewing the app for the play store.
Once that is done we plan to create an IOS version of our app, before uploading it to the IOS App store.
We also plan to add to the number of perks available for 1st,2nd and 3rd place.
And also give the group admin more control over the members in the group.
Built With
android-studio
firebase
java
Try it out
github.com | PhillyMiles | PhillyMiles incentives family and friends to walk to their destinations rather than using public transportation or a personal vehicle, by turning being active into a fun and colorful competition | ['Suhdir Pandey', 'Charles Iheanetu'] | [] | ['android-studio', 'firebase', 'java'] | 9 |
10,299 | https://devpost.com/software/firewall-g0dh38 | Logo
Inspiration
Each year, forest fires consume millions of acres of land, destroying thousands of homes and properties in the Western United States and around the world. Damage to land and personal property can have devastating effects on the affected areas. While resources are available, it can be difficult and stressful to navigate the process of connecting with the resources available during emergency situations. Our aim is to provide current information to people in areas affected by wildfires, to connect them with available housing through local shelters enabling those resource owners to manage these challenging moment and raise awareness about wildfires by creating an educational experience around the causes and preventions of wildfires.
What it does
FireWall is a web/mobile application informing users of ongoing fires and resources available. It will have a live Map fed with governmental data and shelter information that can be updated both with external databases and shelters' input.
Combined with notifications on mobile and information pages, FireWall will be a platform that will help its users prepare for wildfires, stay safe by being informed on close shelters information, and prevent avoidable wildfire causes.
How We built it
The application was divided in 2 parts, frontend and backend.
The frontend is made with ReactJS, and in the future in React Native as well for both Android and IOS. A clean and clear design with the ANT library helps to keep the user experience uniform across the pages. Additionally, the Map-GL library provides all the tools needed for presenting the gathered data. A demo can be found in the first link below.
The backend is made with ASP.net. It manages data gathering, processing, and storage. It is the backbone of our application, as it manages user interactions and map data.
The full codes as it is in the demo can be found on the GitHub links below.
Challenges We ran into
Working with 2 different environments with javascript and C# was challenging to learn, fortunately, as. a team we were able to effectively share and help reach other towards our goals
Accomplishments that We are proud of
We were able to create a working application that, for now, can gather information from reputable sources, transform them into readable data, and present them into a map that can be used by users to stay informed of wildfires and shelters near them. We believe that we achieved the basic goal of our project with that. Going forward, all enhancements will be made on that basis.
What We learned
We worked with technologies that not all team members are familiar with. Two people were slightly experienced with React and only one with ASP.net. However, working together on those aspects enabled us to share that knowledge between us and learn from each other.
What's next for FireWall
In the future:
A System of predictions based on weather forecasts and air quality will be added to provide the most accurate advice to users
The backend will be enhanced to process data daily or often enough to have a reliable source of information.
The app will be transform into a React Native app linked with the same backend and having a notification system that will make the information closer to the users.
Educational materials and information will be provided to raise awareness on wildfires
A shelter dashboard will be Implemented to provide a more thorough control of the facilities by the shelters
Full presentation with website
https://vimeo.com/482456182
Built With
asp.net
react
Try it out
firewall.hyddwn.net
github.com
github.com | FireWall | Up to Date Fire Map with Data by Location, A Portal to Shelters for You and Shelters | ['Amadou Diallo', 'Alpha Oumar Baï Diallo', 'Devan Juraniec', 'Darnell Williams'] | [] | ['asp.net', 'react'] | 10 |
10,299 | https://devpost.com/software/gaia-system | Architectural Diagram
User Interface
Inspiration
Recent forest fire in California creates huge amount of dust as well as pollution to the atmosphere. Conventional man-power and fighting equipment, on the other hand, are inefficient in dealing with large area forest fire. On the other hand, rainmaking rocket, which is based on existing rocket technology, can be especially effective in extinguishing a large area of forest fire. The rocket can be launched from anywhere, or even airborne, and will be detonated above the target area, releasing chemicals which accelerate rainfall process in an artificial way.
What it does
GAIA System is a next-generation, voice-controlled GCS (ground control software) based on x86 platform. It provides a solution for countering wild fire and forest protection. An unmanned spaceplane is remotely controlled by the GCS software, and the detected objects as well as the GPS coordinates of the vehicle will be rendered in real time. If a forest fire is observed, the user will be notified and he/she can select a boundary for rainmaking coverage by mouse clicking. After the user confirms, the GCS will send a command to a spaceplane to perform aerobatic maneuvers and point its nose towards the target. A high-speed rainmaking rocket can be launched towards the target to help increase rainfall rapidly, extinguishing wildfire in an artificial way. Before launch, the user can also ask about the number of GPS satellites, which will directly influence the rocket accuracy, as well as the target weather condition (in case of a rainfall, no artificial rainmaking is necessary) by voice queries.
How I built it
I started prototyping the C# application by dragging buttons around and adjusting its layout. Meanwhile, I have also spent a huge amount of time exploring vision recognition algorithms such as YOLO as well as tuning my custom REST API. For the client side application, three components are developed separately: map visualization and plane rendering, FPV panel and radar panel. Each of them takes me a significant amount of time. The client side is majorly written in C# and the server side is in Python.
Challenges I ran into
The space plane's autopilot and navigation algorithms, as well as its complex targeting mechanism take quite a while for me to figure it out correctly. Besides coding and debugging, I have also spent many hours calculating on my notebook. Besides, despite the fact that I have worked on multiple autonomous systems, I do not have access to a space plane, as well as its sensor and camera information. As a result, I have to use a "virtual space plane", which is a fairly large class file and uses my Logitech webcam as its primary camera.
Accomplishments that I'm proud of
I am able to surpass existing GCS software (such as Mission Planner and QGroundControl) by introducing many new features, including an intelligent voice agent!
What I learned
Always thinking out of the box is helpful. Despite the fact that many may regard Windows desktop applications as lackluster and old-schooled, it can be equally effective and impactful in certain scenarios. Also, the key to achieve something is by being relentless towards the end goal, and constantly learning new stuff as well as improving.
What's next for GAIA System
versions running on other platforms (MacOS, Linux or iOS/Android) are currently under development. Future versions could also utilize state-of-the-art AR/VR technology for 3D visualization of map and spaceplane. Cloud-based quantum computing such as IBM Qiskit could also be used for generating pseudo-random simulation of multiple space planes, providing better coverage for the entire country while minimizing CPU load.
Application
Fire neutralization, forest protection as well as STEM education
Backup Video Link
(in case Youtube removes my video due to background music)
https://www.youtube.com/watch?v=Rm5lvPqZa4I&feature=youtu.be
Built With
aws-ec2
c#
firebase-realtime
google-maps
n2yo.com
openweathermap
python
Try it out
github.com | GAIA System | Countering Forest Fire through Space Tech and Artificial Intelligence | ['Charles Xu'] | [] | ['aws-ec2', 'c#', 'firebase-realtime', 'google-maps', 'n2yo.com', 'openweathermap', 'python'] | 11 |
10,299 | https://devpost.com/software/punyabhu | na
Built With
arduino | think | na | [] | [] | ['arduino'] | 12 |
10,299 | https://devpost.com/software/emds-emergency-medicare-delivery-system | UAV
Architecture
Inspiration
The Covid has added significant burden to the medical system, in that it is extremely hard for certain group of people to gain access to the healthcare services. Meanwhile, the drones and UAVs used by military are very fast and can operate for a long time without refueling, which serves as a decent platform for drug delivery via airdrop
What it does
The user can use a mobile device to scan the drug label as well as pressing SOS button to request a drug delivery via airdrop, and the ground operator can control the UAV's flight path via mouse clicks
How I built it
I prototyped both mobile and PC user interface as well as figured out their logics. As it becomes more and more complicated, I adopted some key ideas in OOP
Challenges I ran into
The integration of Firebase realtime database with Swift is challenging. Also, switching between two systems (win10 and macOS) frequently is more challenging than I have ever imagined.
Accomplishments that I'm proud of
Finally I am able to finish the prototype on both mobile and PC ends, as well as the cloud database
What I learned
Persevere, and plan ahead
What's next for EMDS (Emergency-Medicare-Delivery-System)
Deep reinforcement learning algorithms could be used for better flight planning on the ground side, for better coverage over the entire country.
Built With
amazon-web-services
c#
gcp
swift
Try it out
github.com | EMDS (Emergency-Medicare-Delivery-System) | A nationwide solution for emergency drug delivery using state-of-the-art UAV technology and augmented reality | ['Charles Xu', 'Farhana Chadni'] | [] | ['amazon-web-services', 'c#', 'gcp', 'swift'] | 13 |
10,299 | https://devpost.com/software/kelp-4xbn5g | Inspiration
As Drexel students, we noticed many people in Philadelphia are ordering takeout during the pandemic.
Kelp
is all about encouraging sustainable eating and providing options other than just salad. We noticed that Yelp often does not filter out vegan/vegetarian options/dining. We wanted a place where this process can be much more streamlined. Yelp also does not filter out for allergies. A plant-based diet automatically filters out dairy and seafood. Many plant-based restaurants also list out foods with gluten, and have plenty of gluten free options!
What it does
Kelp
offers an interactive map and search feature to make it easy to search for local restaurants and cafes. There is a delicious array of food from many cuisines. If you are feeling healthy, Kelp has an plenty of healthy options. If you are craving fast food, Kelp has some delicious plant-based burgers that will leave you wanting more. Kelp also has an extensive list of cafes that offer non-dairy options.
How we built it
We built this web application in Angular (Typescript) on the Ionic Framework. The backend is in Firebase, and the client code communicates with Firebase through AngularFire with the RxJS library.
Challenges we ran into
RxJS is a pretty complicated library but after this project, we've learnt a lot about it and were able to use many of its library functions to good use.
Accomplishments that we're proud of
We are proud of our interactive map and search feature. We have a designed a UI that is very visually appealing, that will encourage users to check out Kelp and crave some delicious plant-based food! We are also proud of our review feature that also allows uploading of images.
What we learned
We learned that everything takes time, and that reading documentation is extremely important.
What's next for Kelp
The next steps for Kelp is to expand our data set to include more restaurants. We are also looking to build a mobile app based on the existing codebase, as Ionic is suitable for both web and mobile development.
Built With
ionic
typescript
Try it out
poan-38bc4.web.app | Kelp | With the help of Kelp, you will be kale-ing it. We are all about encouraging people to reduce their carbon footprint, while eating some delcious plant-based food. | ['Sahithi Pisupati', 'Tri Le'] | [] | ['ionic', 'typescript'] | 14 |
10,299 | https://devpost.com/software/green-ride-3dslfi | Inspiration
Smog and Air pollution is a main reason of global warming. Smog and Air pollution comes from cars and can damage the earth seriously. Hence I sought for a way to make driving more sustainable
What it does
Green Ride allows for two things. Rider: Can carpool and find carpool mates near them and ride with them Can find drivers near them and ride
Drivers: Can find customers who want a ride Can Earn points with which they can buy rewards if they use sustainable practices
How I built it
flask, html, css, python, javascript
Accomplishments that I'm proud of
First time using javascript
What's next for Green Ride
Would like to promote or partner it with small companies or environmentally active organizations
Built With
ccs
css3
flask
html5
ml
python
Try it out
github.com | Green Ride | Helping promote ecofriendly driving practices through various strategies and incentives | ['Neeral Bhalgat'] | [] | ['ccs', 'css3', 'flask', 'html5', 'ml', 'python'] | 15 |
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