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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10,331 | https://devpost.com/software/corona-go-08dxpg | In these crazy times, I often find myself lacking motivation to do go outside and explore the world. However, I believe it is a perfect time to enjoy nature as we are all trapped inside, dormant and unmoving. When using Corona Go, an app developed using Android Studio - Java, people can click on different locations to learn about nature and animals living around those regions. Using echoAR, people with compatible phones can see the animals in real life in life scale. For example, clicking on this link using an iPhone will result in a black bear showing up on your floor! (
https://go.echoar.xyz/YQYz
). With Corona Go (named after Pokemon Go), people will start enjoying nature again! faced many challenges using the Google Maps API and it was also my first finished app developed using Android Studio. I learned a lot including how to layout and constraint things in Relative Layout, using Google Maps, and echoAR.
Built With
android
echoar
java | Corona Go | A way to entice people to go outside and explore the world during these crazy times. | ['Jason Zhu'] | [] | ['android', 'echoar', 'java'] | 9 |
10,331 | https://devpost.com/software/minerva-s0fh73 | Main Page
Example Search
Example Search
Example Search
Example Search
Example Search
What it does
We were inspired to build this since we feel that matching a curious mind to learning resources can be made more efficient.
We feel that there are a plethora of resources (MOOCs, Podcasts, Videos) out there that lack a centralized search engine to find the best content in line with the learner's needs. People around the world, especially students, are currently at home and are looking for ways to improve their skills! They try to take online courses for different skills but often end up confused - which one should I use? This website helps you by fetching tutorials + courses + books + more from different sources with the top content. This makes learning much easier and faster.
You can search for
courses, videos, books, and codebase
through our platform. We present all-encompassing learning resources for whatever you want to learn about!
Example resources: Coursera, Udemy, Github, Youtube, Libgen.
What We learned
We learned how to integrate selenium in python and how to deploy selenium apps on Heroku. We had a working knowledge of flask but scraping using selenium was something that made the task much easier. This project helped us learn how to combine web scraping with web applications to display content dynamically.
Integrating a React front with a Flask backend was also fun, and something we hadn't done before.
Inspiration
This product has been built by students who have gone through the challenges of doing an online course. While looking for a course, we often got confused by which website to follow. While looking for courses on Udemy, we overlooked the courses on other websites like Coursera and Edx. This product allows the student to avoid that problem by presenting data from all the different websites and helping them with their course search. We were inspired by websites like Trivago, Expedia, etc. that look up information from all the different hotel websites and presents the user with the best options.
We also allow you to diversify where you learn from!
How We built it
We started with
BeautifulSoup
and
requests
to scrape data from static websites. We set up a
Flask
application to handle these scraping requests. We setup a pipeline to get information from the backend and present it in the frontend. We then integrated Selenium with our application and scraped data from dynamic websites.
On the frontend, we used React components to make the webpages dynamic, reusable, and smooth. We then provisioned resources on Heroku and deployed the project in a container by using chromedriver and nginx plugins.
Challenges We ran into
We had some challenges in publishing the project to Heroku since we are using a chromedriver and didn't know about how to provision resources for that. We also had some problems when we were just using BeautifulSoup to scrape websites since most websites used JavaScript to render information. We started using Selenium to scrape dynamic websites and had to work on making the search faster by optimizing the algorithm.
What's Next
We hope to make the search faster and diverse.
We also plan to expand this product to include more websites and work on similar products in the future!
Another cool feature we want to go for is autocompleting in the search bar!
Note: The backend and frontend are two separate code bases. Links attached!
Built With
flask
python
react
requests
selenium
Try it out
master.d381zdcnbbn5kn.amplifyapp.com
github.com
github.com
drive.google.com | Minerva | A search engine for your learning needs. | ['Riad Kanj', 'Himanshu Jain', 'Aneesh Gupta'] | [] | ['flask', 'python', 'react', 'requests', 'selenium'] | 10 |
10,331 | https://devpost.com/software/auto-ta | Inspiration
During the transition to online classes due to COVID-19, there was a lot of confusion as to what the best ways to teach were, and how students and teachers could best interact in this new online format. Inspired by the confusion of every teacher doing something differently because no one tool did everything they needed, I wanted to build a supplemental platform for teachers and students to interact via live lecture.
I spoke with Dr. Spagnuolo, the Chairperson of the Department of Mathematics and Statistics at Oakland University, to do some initial user research on what the hardest parts of teaching online were. From there, I tailored the app to what she had discussed as the biggest problem from a teacher's perspective, as well as what was problematic for me as a student.
What it does
Based on the initial research, there were 3 main areas that were noted as issues in the traditional online format:
Students don't feel comfortable un-muting their mic while the teacher is talking, and there is no way to virtually raise your hand in most video platforms.
Many classes have an in-class attendance or participation component, and that part of the grade was replaced with tests during COVID. It's better for students if their grade isn't based on just tests, and it helps teachers to see who is engaged in class.
When teachers ask a question in class, one voice tends to drown out everyone else. There needs to be a way to democratize class participation so everyone can answer (and get credit if there is a participation grade).
Therefore, Auto TA is a platform for students and teachers to easily interact while on a video lecture. It lets students raise their hand to ask questions, and it lets teachers poll the class and ask questions to do attendance and participation grades. It also generates a report for teachers so they can view the data over time for grading.
How I built it
I built a web app using React and Typescript for the front end, and Firebase for the back end authentication and database. The web app was geared for responsive design, so it is easily viewable either split screen with the online lecture, or on another device like a phone.
Challenges I ran into
It was a lot of work to figure out how to secure all of the data so both students and teachers had enough live data to be useful during the class, without exposing grades to students or personal information to the public. I also needed a way to make sure that data integrity was persevered between classes, so that students can't cheat the system and just enter all the correct answers they get from a friend after lecture.
Accomplishments that I'm proud of
It was a time crunch, but I got it done! All of the major systems are fully working, including both live polls and hidden short answer questions with an auto-grader.
What I learned
I learned a lot about live data and webhooks, how React handles listeners, and how to handle concurrent edits in a database. Because the entire hack was centered around the synchronous use of data, I learned a lot about how to move data back and forth synchronously efficiently, so I wasn't just reliant on pinging the server every 5 seconds!
What's next for Auto TA
Give more time, I'd like to add more types of questions, like specifying a number for short answer, or letting the teacher choose the categories in a poll. I'd also like to expand the report, so the correct/incorrect answers are more clear, and so it is downloadable for teachers to import into their grade book. Finally, I'd like to deploy Auto TA for some user testing, and iterate based on feedback from there!
Built With
firebase
react
typescript
Try it out
github.com | Auto TA | A automated tool to boost engagement in online lectures. | ['Andrew Dimmer'] | [] | ['firebase', 'react', 'typescript'] | 11 |
10,331 | https://devpost.com/software/no-test-no-problem | COVID Positive ID
COVID Negative ID
COVID-19 Positive
COVID-19 Negative
Convolutional Heap Map
Inspiration
With COVID-19 tests being carefully rationed out and there being multiple scarcities, patients may not have access to a traditional test. Our software can diagnose a patient purely on a CT scan, eliminating the need for single use tests. We used the COVID-19 Lung CT Scans by LuisBlanche on Kaggle.
What it does
Our web app has a form for submitting patient data and uploading a CT scan image. We then pass the pixel data to our server, which runs several Tensorflow models. We then take the average confidence of all the models, and return the prediction to the browser. You can test it with the CT Scan images in the Devpost Gallery.
How I built it
We built 8 Deep Learning Models with Tensorflow and Keras that integrate convolutional neural network architecture and was trained using K-fold Cross-validation, in order to make best use of a limited dataset. Our model achieved nearly 90% accuracy, allowing hospitals to use this as a tool to diagnose patients when resources are limited.
Challenges I ran into
Over the course of this hackathon we were able to create a data model which achieves nearly 90% accuracy, one issue we had was not having a powerful enough processing unit to train the model from the start of the competition. We started using a NVIDIA V100 GPU to train the model on Google Cloud Platform. Given a better processing unit from the start and more time we would've been able to achieve greater accuracy, however we still manage ~90%.
Accomplishments that I'm proud of
We used a NVIDIA V100 Graphics Processing Unit on Google Cloud Platform in order to train our models. We were also able to finish this entire project in 24 hours.
What I learned
During the course of this hackathon we were able to learn and use Django to correctly link up the website wherein a user has to upload a CT Scan to the back-end data model which can predict whether a patient has Covid-19 or not.
What's next for No Test No Problem
We plan to add a database structure to hold patient and prediction data. We hope that this functionality will make our app more appealing to healthcare professionals.
Built With
css3
django
google-cloud
html5
jquery
keras
python
tensorflow
Try it out
github.com
www.notestnoproblem.live | No Test No Problem | We made a web app that utilizes machine learning to classify CT scans of lungs for COVID-19 and store patient data. This might be the difference between life and death if you cannot get a real test | ['Mohit Chhaya', 'Kabir Pathak', 'Pranish Pantha', 'Maanav Singh', 'Sachet Patil'] | ['Best Business Potential'] | ['css3', 'django', 'google-cloud', 'html5', 'jquery', 'keras', 'python', 'tensorflow'] | 12 |
10,331 | https://devpost.com/software/covid-19-faq-global-pandemic | Inspiration
What it does
COVID-19 FAQ: Global Pandemic
is an online course that answers frequently asked questions about
COVID-19
with concise and scientifically verifiable explanations.
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for COVID-19 FAQ: Global Pandemic
Try it out
bitbucket.org | COVID-19 FAQ: Global Pandemic | COVID-19 FAQ: Global Pandemic is an online course that answers frequently asked questions about COVID-19 with concise and scientifically verifiable explanations. | ['Warp Smith'] | [] | [] | 13 |
10,331 | https://devpost.com/software/vcounselor | Home Screen
Virtual Counseling Page
Input ML Data Screen
Input ML Data Screen 2
Personalized Education/Career Guide
Resources Screen
Resources Screen 2
About Screen
Inspiration
With summer break ending soon for many of us and schools entering a new school year completely online, new and innovative solutions have been introduced to ease the transition into virtual learning. School counseling, however, has not received as much attention, as counselors rush to hastily meet the demands of hundreds of students by frantically scheduling Zoom calls or answering emails to simple questions from students while transitioning into a new work environment. To help school counselors who are adjusting to virtual learning, or even simply just trying to keep up with their already massive workload, we created vCounselor.
What it does
vCounselor is a mobile application that assists students who are seeking basic counseling. The app asks students for information such as how they spend their time, and utilizes machine learning to predict whether the student is currently on track to meet their academic goals. If the student appears to have any problems such as a lack of free time, or isn’t on track to meet their academic goals, vCounselor provides guidance and resources to assist the student. vCounselor can also help students identify potential classes, universities, and careers they may want to pursue based on their interests. The goal of the app is to provide basic assistance to students so they can receive more immediate help and reduce the workload of counselors, allowing these counselors to focus on more important or urgent cases, such as student health or familial problems.
How we built it
The frontend of vCounselor was built using Expo and React Native along with the UIKittens library. The app utilizes a custom SciKit Learn machine learning model to generate predictions for student performance based on user inputted data, which was then put into an API through Flask and hosted on a Heroku server. The career and college screen uses Python and BeautifulSoup4 (also accessed through the same API and Heroku server) to perform web scraping which provides the recommendations seen on that screen.
Challenges we ran into
In our team’s last hackathon, we dealt with machine learning for the first time, but ultimately failed to make a finished working product since we were unable to figure out how to get predictions from our model to the app. We spent a great deal of this hackathon working to address the same issue, but with different and more fleshed out ideas to solve the problem, ultimately creating an API through Flask and hosting it on Heroku. We also worked with web scraping for the first time, initially facing difficulties with reading through HTML code to find what was needed and figuring out which sites had means to block web scraping, but were able to scrape the results of various college information and advising sites to provide recommendations for students based on their interests. This hackathon also introduced new non-technical challenges for us related to our personal lives, forcing us to work without one of our usual teammates and with even more limited time constraints than already placed on us by the hackathon.
Accomplishments that we're proud of
Through vCounselor, our team has overcome challenges both new and old, giving us a sense of relief and accomplishment in doing so. We feel accomplished in beginning to gain mastery over old challenges that we had faced, such as developing a machine learning model, or working entirely with languages we had only learned months ago. We feel that vCounselor is one of our best applications yet, in both technical difficulty and functionality, especially after looking back at hackathon projects we had made as recently as May.
What we learned
In the process of creating vCounselor, we learned about creating APIs, hosting on and accessing Heroku servers, and how to perform basic web scraping. We also gained experience in finding relevant datasets and creating machine learning models through SciKit Learn. Since one of our teammates, who specializes in frontend with React Native, was busy this weekend, members of our team also learned more about creating the user interface and working outside of our usual assignments.
While vCounselor has allowed us to learn many new skills and tools in programming and app development, it has also increased our appreciation of our school counselors. When creating this app, we began to realize just how many aspects of student life counselors have to address, from basic class schedules, to the health and wellbeing of the community. We hope those who see and try our app can also learn and appreciate how much counselors and advisors do for their school, especially when a school is understaffed and dealing with transitioning into virtual learning.
What's next for vCounselor
We hope to introduce vCounselor to the staff at our high school, and receive feedback from our counselors and staff members on how to potentially improve and implement it at our school. While vCounselor is more student oriented and meant to reduce the workload of counselors, we also hope to make a counterpart for the counselors themselves that will receive alerts for students that may need more assistance or deserve recognition, and potentially automate tasks for counselors as well. If vCounselor accomplishes its goal within our local community and schools, we could change the app to accommodate various types and levels of education, and integrate more features such as schedule planning to further assist counselors. Once we gain more experience with different tools such as PyTorch, we may also consider trying to improve its already existing features, such as our machine learning model, or improving the quality and use of our web scraper.
Google Slides Presentation:
https://docs.google.com/presentation/d/1CLXMYm0jJRlG-FKLIR2NXKUIqqUvHC4POjaX1BJiI_o/edit?usp=sharing
Built With
beautiful-soup
firebase
flask
heroku
javascript
jupyter-notebook
python
react-native
scikit-learn
typescript
Try it out
github.com
docs.google.com | vCounselor | A guidance counseling application for high school students that provides a free,personalized platform to give them the information and resources needed to plan and succeed in life. | ['Arvind Vivekanandan', 'Eric Wang', 'Justin Yue'] | [] | ['beautiful-soup', 'firebase', 'flask', 'heroku', 'javascript', 'jupyter-notebook', 'python', 'react-native', 'scikit-learn', 'typescript'] | 14 |
10,331 | https://devpost.com/software/do-i-have-covid-19 | Works Cited/Contact info
Front Page
Example of a question
Modhacks Hackathon— Coronavirus screening tool
This COVID-19 screening tool we made is a simple HTML web page that that opens in a flash in your web browser but doesn't require an internet connection. Upon opening, the screening tool will ask you nine questions about basic symptoms, and then will move on to questions about severe symptoms. If you have all nine of the basic symptoms, it will recommend you to get tested for the virus. If you have any of the severe symptoms, it'll tell you to get tested. This test will also give you information about the virus as well as trusted sources. Sources and our contact information are in the Works Cited section.
Inspiration
We realized that a lot of people didn't know the symptoms of the virus and whether they should get tested or not. Many didn't realize that they could have the virus and that they might have been putting people in danger.
What it does
It asks you a few questions and it determines whether you urgently need a test or not.
How we built it
We used Twine to create the structure of it and added html code to improve upon it.
Challenges we ran into
We're beginners, so we came into this with minimal html knowledge. It took a lot of googling to figure out how to do things, such as adding a background image.
Accomplishments that we're proud of
Adding a background and learning how to use variables.
What we learned
How to use variables, how to use HTML syntax, how to format text, how to color text, etc.
What's next for Do I have COVID-19?
We don't know. We may put this on an actual website, but we may not. It was just something we did because we were bored in quarantine.
Built With
css
html
twine
Try it out
drive.google.com | Do I have COVID-19? | Are you infected? Find out using this simple test. | ['Siddharth C', 'Aadithya K'] | [] | ['css', 'html', 'twine'] | 15 |
10,331 | https://devpost.com/software/drivesafe-ai-driving-assistant | Step 5: Full detection of distraction/sleepiness, alert text, and alert sound playing constantly
Step 3/4: Eye localization, eye-aspect ratio monitoring, and face detection with bounds
Step 2: Face detection with bounds
Inspiration
After observing the community around us, we realized that there are greater than 6 million car accidents per year, and close to 23 percent of them end in fatalities. Car accidents are the second leading cause of death for teens, 87 percent of which involve distracted drivers. We created DriveSafe to tackle this problem and make an effort to reduce these numbers.
What it does
DriveSafe is an automated computer vision driving security assistant. It uses Deep Learning and Computer Vision to identify if and when a driver is distracted or feels sleepy, and accordingly alerts the driver and/or passengers.
How it works
The DriveSafe automated driving assistant was built through a 5-step cumulative process:
A stable, face-monitoring video stream was set up with the use of a webcam
The stream is fed to the laptop, which uses deep-learning facial recognition algorithms to detect the presence of the face in the stream
Once a face is detected, the algorithm performs eye localization and draws eye-shaped bounds around the driver’s eyes
An eye aspect ratio is determined and updated constantly based on the height of the top eyelid to the bottom eyelid.
If the height difference ever crosses a certain threshold (reduces) for a given amount of time, the driver is determined to be distracted or sleepy
Upon identification, a sound is played constantly until the driver is predicted to be focused
How We built it
DriveSafe was built using OpenCV, Python, deep learning facial recognition/object localization algorithms. The website was developed using HTML, CSS, and javascript.
Challenges I ran into
Implementing the face detection with eye detection made it so that there was a lot of lag between frames, leading to less consistent eye detection. We optimized the face detection to have it run a minimal amount of times, and the lag was fixed. A lot of the issues lay with consistency - we had to keep experimenting with parameters to make sure that it would work at least 90% of the time.
What's next for DriveSafe: AI Driving Assistant
Currently, DriveSafe can only be implemented with a webcam and computer--we only had a day to create it. We want to make it more convenient and make it a mobile application that can link with a webcam. In addition to functionality with webcams and Bluetooth webcams, the mobile application will utilize GPS libraries to determine if the driver is exceeding speed limits. This product will essentially eliminate common risks that drivers encounter.
Built With
css
html
javascript
opencv
python
Try it out
github.com
github.com | DriveSafe: AI Driving Assistant | Revolutionizing Driving Safety with Deep Learning and OpenCV Implementations | ['Shrinandan Narayanan', 'Krisha Chokshi', 'Siddarth Mamidanna'] | [] | ['css', 'html', 'javascript', 'opencv', 'python'] | 16 |
10,331 | https://devpost.com/software/wecare-5l9dgi | Home Screen of app, which allows you to report your symptoms, check the status of your circle, and get daily personalized tips.
Map Screen of app, which allows you to see hotspots around you and your Care Circle.
Care Circle screen of app, which allows you to health conditions of your loved ones.
Web interface, which can be used to update the symptoms. It is synced with the app.
New logo.
Update with a key.
Hotspots for countries.
Options from the start.
Questions about your health.
Hot spots.
App design
As the outbreak of COVID-19 continues to spread throughout the entire world, more stringent containment measures from social distancing to city closure are being put into place, greatly stressing people we care about. To address the outbreak, there have been many ad hoc solutions for symptom tracking (e.g.,
UK app
), contact tracing (e.g.,
PPEP-PT
), and environmental risk dashboards (
covidmap
). However, these fragmented solutions may lead to false risk communication to citizens, while violating the privacy, adding extra layers of pressure to authorities and public health, and are not effective to follow the conditions of our cared ones. Unless being mandatory, we did not observe the large-scale adoption of these technologies by the crowd. Until now, there is no privacy-preserving platform in the world to 1) let us follow the health conditions of our cared ones, 2) use a statistically rigorous live hotspots mapping to visualize current potential risks around localities based on available and important factors (environment, contacts, and symptoms) so the community can stay safer while resuming their normal life, and 3) collect accurate information for policymakers to better plan their limited resources.
Such a unified solution would help many families who are not able to see each other due to self-quarantine and enable early detection and risk evaluation, which may save many lives, especially for vulnerable groups. These urgent needs would remain for many months given that the quarantine conditions may be in place for the upcoming months, as the outbreak is not reported to occur yet in Africa, the potential arrival of second and third waves, and COVID-19 potential reappearance next year at a smaller scale (like seasonal flu). There is still uncertain information about immunity after being infected and recovered from COVID-19. Therefore, it is of paramount importance to address them using an easy-to-use and privacy-preserving solution that helps individuals, governments, and public health authorities.
WeCare Solution
WeCare is a cross-platform app that enables you to track the health status of your loved ones. Individuals can add their family members and friends to a Care Circle and track their health status and get personalized daily updates on best prevention practices. In particular, individuals can opt-in to fill a simple questionnaire, supervised by our epidemiologist team member, about their symptoms, comorbidities, and demographic information. The app then tracks their location and informs them of potential hotspots for them and for vulnerable populations over a live map, built using opt-in reports of individuals. Moreover, symptoms of individuals will be tracked frequently to enable sending a notification to the Care Circle and health authorities once the conditions get more severe. We have also designed a citizen point, where individuals get badges based on their contributions to solving pandemic by daily checkup, staying healthy, avoiding highly risky zones, protecting vulnerable groups, and sharing their anonymous data.
WeCare includes a contact tracing module that follows the guidelines of Decentralized Pan-European Privacy-Preserving Proximity Tracing
(PEPP-PT)
. It is an international collaboration of top European universities and research institutes to ensure the safety and privacy of individuals.
What we have done during the weekend
Have been in contact with other channels in Brazil and Chile.
We have updated the pitch (extended), app-design and backend connection of the app this week. New contacts with Chile and Singapore. We have also made some translation work with the app. Shared more on social media about the project and also connected to more people on slack and LinkedIn. We have also modified the concept of Care Circle and how to add/remove individuals. Now, the app is very easy-to-use with minimal input (less than a minute per day) from the user. We are proud of the achievements of our team, given the very limited time and all the challenges.
Challenges we ran into
The Hackathon brought together plenty of people of different expertise and skills. There were challenges that we faced that were very unique, as we faced a variety of communication platforms on top of open-source development tools.
Online Slack workspaces and Zoom meetings and webinars presented challenges in forms of inactive team members, cross-communications, and information bombardment in several separate threads and channels in Slack and online meetings of strangers that are coordinated across different time zones. In developing the website and app for user input data, our next challenge was in preserving the privacy of user information.
In the development of a live hotspot map, our biggest challenge here was to ensure we do not misrepresent risk and prediction into our live mapping models.
Also for the testing of the iOS version, we ran to the new restriction of App Store for COVID-related apps, which should be backed up by some health authorities or governmental entities.
The solution’s impact on the crisis
We believe that WeCare would help many families who can see each other due to self-quarantine and enable early detection and risk evaluation, which may save many lives, especially for vulnerable groups. The ability to check up on their Care Circle and the hotspots around them substantially reduces the stress level and enables a much more effective and safer re-opening of the communities. Also, individuals can have a better understanding of the COVID-19 situation in their local neighbourhood, which is of paramount importance but not available today.
The live hotspot map enables many people of at-risk groups to have their daily walk and exercise, which are essential to improve their immunity system, yet sadly almost impossible today in many countries.
The concept of Care Circle motivates many people to invite a few others to monitor their symptoms on a daily basis (incentivized also through badges and notifications) and take more effective prevention practices.
Thereby, WeCare enables everyone to make important contributions toward addressing the crisis.
Moreover, data sharing would enable a better visual mapping model for public assessment, but also better data collection for the public health authorities and policymakers to make more informed decisions.
The necessities to continue the project
We plan to continue the project and fully develop the app. However, to realize the vision of WeCare we need the followings:
Public support: a partnership with authorities and potentially being a part of government services to be able to deploy it on AppStore. It also makes WeCare more legitimate. This would increase the level of reporting and therefore having a better overview and control of the crisis.
Social acceptance: though being confirmed using a small customer survey, we need more people to use the WeCare app and share their data, to build a better live risk map. We would also appreciate more fine-grained data from the health authorities, including the number of infected cases in small city zones and municipalities.
Resources: So far, we are voluntarily (and happily) paying for the costs of the servers. Given that all the services of the app and website would be free, we may need some support to run the services in the long-run.
The value of your solution(s) after the crisis
The quarantine conditions and strict isolation policies may still be in place for upcoming months and year, as the outbreak is not reported to occur yet in Africa, the potential arrival of second and third waves, and possible COVID-19 reappearance next year at a smaller scale (like seasonal flu).
Therefore, we believe that WeCare is a sustainable solution and remains very valuable after the current COVID-19 crisis.
The URL to the prototype
We believe in open science and open-source developments. You can find all the codes and documentation (so far) at our
Website
.
Github repo
.
Pitch:
https://youtu.be/7fMrVqxoPKY
Pitch extended version:
https://youtu.be/Vo0gs3WlptU
Other channels.
https://www.facebook.com/wecareteamsweden
https://www.instagram.com/wecare_team
https://www.linkedin.com/company/42699280
https://youtu.be/_4wAGCkwInw
(new app demo 2020-05)
Interview:
https://www.ingenjoren.se/2020/04/29/de-jobbar-pa-fritiden-med-en-svensk-smittspridnings-app
Built With
node.js
python
react
vue.js
Try it out
www.covidmap.se
github.com | WeCare | WeCare is a privacy-preserving app & page that keeps you & your family safer. You can track the health status of your cared ones & use a live hotspot map to start your normal life while staying safer. | ['Alex Zinenko', 'Sina Molavipour', 'Ania Johansson', 'Hossein S. Ghadikolaei', 'Christian M', 'Seunghoon HAN', 'Tomasz Przybyłek', 'Mohamed Hany', 'Alireza Mehrsina'] | ['1st Place Overall Winners', '2nd Place'] | ['node.js', 'python', 'react', 'vue.js'] | 17 |
10,331 | https://devpost.com/software/app-o5eawy | Home Screen
Barcode based food adding
Manual food adding
Inspiration
There are a multitude of issues people struggle with as a result of not getting a healthy, balanced, diet.
What it does
Currently the app is only able to track calories manually and using a bar code scanner. Users enter the amount of servings they have had and the calories consumed is calculated. On the main screen, a log displays past foods and their calorie counts. A total calorie count for the day, for the past hour, or the past week is displayed at the top, along with a percentage showing how much of an average 2000 calorie diet the user has consumed.
Accomplishments that we're proud of
This is our first functional mobile app that's more than a tutorial. It involves bringing together many components like data storage, an API, and barcode scanning.
What we learned
I learnt a lot of things like:
Practical Flutter
Managing State
Using a database in Flutter
Nutrition and Food APIs
What's next for apeiron
Because of time constraints, we were only able to implement the calorie tracking system. Given time, other valuable dieting information such as carbohydrates, fat, fiber, and vital minerals will be able to be tracked. Factors that affect needed calories such as height, height, and physical activity levels will be taken into account. Other features such as graphs will be implemented so users can track their improvements at healthy eating.
Built With
barcode-scanner
flutter
material
material-design
nutritionix
rest-api
sqlite
Try it out
github.com | apeiron | Manage your health by tracking your diet | ['Kai Zheng', 'Karmanyaah Malhotra', 'Evelyn Zhang'] | [] | ['barcode-scanner', 'flutter', 'material', 'material-design', 'nutritionix', 'rest-api', 'sqlite'] | 18 |
10,331 | https://devpost.com/software/safety-first-wzopx0 | ERROR: type should be string, got "https://docs.google.com/presentation/d/14bqbPn2GB5mZ6hJkgGejKjyEgY0WrKAhjjppV4mMxnE/edit#slide=id.g8c9fb82bba_0_180\n\nhttps://docs.google.com/presentation/d/14bqbPn2GB5mZ6hJkgGejKjyEgY0WrKAhjjppV4mMxnE/edit#slide=id.g8c9fb82bba_0_180\n\nhttps://docs.google.com/presentation/d/14bqbPn2GB5mZ6hJkgGejKjyEgY0WrKAhjjppV4mMxnE/edit#slide=id.g8c9fb82bba_0_180\n\nhttps://docs.google.com/presentation/d/14bqbPn2GB5mZ6hJkgGejKjyEgY0WrKAhjjppV4mMxnE/edit#slide=id.g8c9fb82bba_0_180\n\nhttps://docs.google.com/presentation/d/14bqbPn2GB5mZ6hJkgGejKjyEgY0WrKAhjjppV4mMxnE/edit#slide=id.g8c9fb82bba_0_180\n\nhttps://docs.google.com/presentation/d/14bqbPn2GB5mZ6hJkgGejKjyEgY0WrKAhjjppV4mMxnE/edit#slide=id.g8c9fb82bba_0_180\n\nhttps://docs.google.com/presentation/d/14bqbPn2GB5mZ6hJkgGejKjyEgY0WrKAhjjppV4mMxnE/edit#slide=id.g8c9fb82bba_0_180\n\nhttps://docs.google.com/presentation/d/14bqbPn2GB5mZ6hJkgGejKjyEgY0WrKAhjjppV4mMxnE/edit#slide=id.g8c9fb82bba_0_180\n\nhttps://docs.google.com/presentation/d/14bqbPn2GB5mZ6hJkgGejKjyEgY0WrKAhjjppV4mMxnE/edit#slide=id.g8c9fb82bba_0_180\n\nhttps://docs.google.com/presentation/d/14bqbPn2GB5mZ6hJkgGejKjyEgY0WrKAhjjppV4mMxnE/edit#slide=id.g8c9fb82bba_0_180\n\nhttps://docs.google.com/presentation/d/14bqbPn2GB5mZ6hJkgGejKjyEgY0WrKAhjjppV4mMxnE/edit#slide=id.g8c9fb82bba_0_180\n\nInspiration\n\nAs we all know coronavirus is a fatal problem in today's society causing many deaths and sicknesses all around the world. As covid-19 keeps increasing, more and more people are becoming ill, but there are also more deaths happening due to an indirect factor: depression. For some, life has been a hardship now. People are unable to go outside, some are fired from their jobs, and others are just are unable to cope with the stress and anxiety from the lockdown at home. These are all general factors that lead to the coronavirus.\n\nSo far, 15.3 MILLION PEOPLE HAVE BEEN CONFIRMED TO HAVE THE CORONAVIRUS, AND 624,000 PEOPLE HAVE DIED FROM IT. AS FOR DEPRESSION, studies have shown that 1 OUT OF EVERY 113 people will get depression in their lifetime. In 2016 alone, there were over 16.2 million people affected by the coronavirus, meaning 5% OF THE PEOPLE IN THE USA DURING 2016 HAD DEPRESSION SYMPTOMS. 6.7% of all adults also have depression symptoms.\n\nWhat it does\nTo treat all this outbreak going on, I decided to make a webapp and app that is able to help everyone no matter where they live during these tough times. My project has three parts. First there is the social distancing app, that uses api's to make sure everyone is social distancing. If you arent social distancing you will be alerted. Then I made a free coronavirus quiz. It is an animated form which evaluates which symptoms of coronavirus you show and gives additional information and testing sites if needed. The last part is an algorithm that is able to see if you show symptoms of depression or not. The algorithm analyzes your typing speed and connotations of the words you type, and uses regression to find a pattern between them\n\nHow I built it\nI used flask, html, css, swift ui, swift, python\n\nChallenges I ran into\nAs a beginner making my own website from scratch was extremely hard due to the fact that I have only used templates before. I also didnt know what was regression or any of the other important machine learning type concepts that I used for this project.\n\nAccomplishments that I'm proud of\nI'm proud of learning regression, and somehow being able to complete this project on time! This was my first time using swift ui and I am very proud of that.\n\nWhat I learned\nI learned swift, swift ui, flask in depth, and html and css in depth to make a website. I also learned simple machine learning concepts like panda dataframes, and linear regression\n\nWhat's next for Safety First\nI want to publish my app on the app store, and also make the depression symptom analyzer voice recognition related so there might be more accurate results.\n\nBuilt With\n\ncss3\n\nflask\n\nhtml5\n\npython\n\nswift\n\nswiftui\n\nTry it out\n\ngithub.com\n\ndocs.google.com\n\ndrive.google.com" | Safety First | Empowering safety for all generations around the world during the coronavirus pandemic | ['Neeral Bhalgat'] | [] | ['css3', 'flask', 'html5', 'python', 'swift', 'swiftui'] | 19 |
10,331 | 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'] | 20 |
10,331 | https://devpost.com/software/moodmatch-9g4xv3 | logo
sample movie conversation
sample music conversation
Inspiration
When one thinks of vacation, the first thing that comes to mind is a setting like Hawaii or some tropical island or perhaps even beautiful wildlife. But due to this unprecedented time in our world, it is difficult to make these vacation dreams into reality, in turn forcing people to rely on some virtual way of getting the vacation vibes. This, along with the issue of not being able to understand one’s true emotions and grasp what is needed to acquire a more positive mindset inspired me to create MoodMatch.
What it does
MoodMatch is a Facebook Messenger ChatBot that recommends songs and movies based on a user’s current mood. MoodMatch understands the user’s current emotions by asking several personalized questions and using novel sentimental analysis algorithms to deliver several songs or movies which will cheer up the mood of the user.
How I built it
Before this project, I was very new to the ideas of creating a project. This project introduced me to the end-to-end programming pipeline. I started by first mapping out what I had to do:
Obtain a list of songs, artists, and lyrics of the songs and similarly movies, and years they were created in
Perform sentimental analysis on the songs and movie titles as well as movie summaries to understand what kinds of feelings are exhibited by the song/movie
Create a messenger bot
Program the messenger bot to ask the user questions
Process the results (sentimental analysis on the chosen choices)
Recommend songs or movies with similar sentiment levels or perhaps higher sentiment levels to cheer one up
Created a fully functioning webpage that allows users to try out MoodMatch directly on the website
I followed this process thoroughly and used the Microsoft Azure Cognitive Science API to perform sentimental analysis. I also used various APIs including Spotify, Genius Lyrics, and various others.
Originally, I had meant for MoodMatch to pop up a Messenger Webview and encourage users to fill out a form that would then allow for the processing of data, however, Facebook’s innovative Quick Replies module on Messenger allowed me to make MoodMatch more interactive and personalized for users.
I also learned the importance of using various REST APIs including TMDB (The Movie DataBase) and various movie trailer npm packages.
Challenges I ran into
As I was very new to the end-to-end programming process, I ran into many challenges including not being able to understand what was wrong. My first challenge in this journey of completing MoodMatch was deploying my messenger bot on a Heroku server. Many times, I received an Error 400 or Error 500 stating that the /GET request cannot be found. However, once I got over this hump by fixing a few lines in my code, I was faced with several other tough mountains:
Obtaining results from the HTML form and using ExpressJS to deliver POST requests
Returning a list of songs and executing my algorithm on an ASYNC function
Transitioning from a bland messenger webview to more interactive Quick Replies
I often asked friends or even posted on StackOverflow to get some of my questions answered and get over these challenges. This project truly wouldn’t have been possible without others who helped me get over these challenges.
Accomplishments that I'm proud of
Creating a bot was not something I could've imagined me doing a few months ago, but now I have fully learned one example of the end-to-end programming pipeline. Getting over the aforementioned challenges and not giving up throughout the process has not only given me more technical knowledge, but it has impacted me mentally as I am more confident in my coding ability after this project.
What I learned
I fully learned the end to end programming pipeline of sorts. In particular, I learned the ins and outs of the various APIs I worked with and understanding how to deploy/manage server-based applications like a messenger chatbot.
What's next for MoodMatch
A lot is in store for MoodMatch, ranging from automating the song updates as well as adding more factors that may influence someone's choice of song. I plan on having an autorefresh of sorts for the list of songs already scraped off the web right now so that users will continuously get different songs. Perhaps even employing an account scenario in which users are never recommended the same song on multiple occasions is also one thing I plan to work on. Lastly, a lot of factors go into one’s feelings and current emotions, which definitely cannot be grasped by the current 2 questions asked my MoodMatch. I plan on adding more of these questions and even an open-ended question of sorts, in which users can type in their response, and emotional analysis will be performed on their inputs. In fact, a few of these are already in the works so be on the lookout for upcoming updates ;) Feel free to checkout moodmatch.tech and watch our video to learn more about what’s coming soon!
Try it out
moodmatch.tech | MoodMatch | Just what you need | ['Viren Khandal'] | [] | [] | 21 |
10,331 | https://devpost.com/software/incognito-awgk8c | Introduction
Say hi to Incognito, the app which normalizes healthcare, in a great way. Incognito aims to diagnose Parkinson’s Disease in 3 intuitive steps: draw a spiral, point, and click (a picture). Parkinson’s disease is the second most common age-related neurodegenerative disorder after Alzheimer’s disease, but what makes it so unique is its external diagnosability: no longer do we need fancy MRI or PET scans to diagnose Parkinson’s Disease. Parkinson’s Disease is only getting worse, increasing from 41/100,000 people to over 190,000/people, but here’s the catch: we’ve only looked at people who are able to visit doctors, and people who have the healthcare means to get diagnosed. What about the 46.5 million Americans who lack healthcare, or the millions more worldwide who do not have access to good healthcare. Parkinson’s is scary: a patient of this disease will no longer have a normal social life or have a job, therefore making them incapable of paying for medical expenses, and will severely hurt their financial condition. In the United States alone, 60,000 people are diagnosed with Parkinson’s every year, however, this fails to reflect the over 40 million Americans living under the radar, and every Parkinson’s statistic fails to represent millions of people who are Incognito to the healthcare system. Incognito brings light to those who otherwise would not be able to attain healthcare.
Inspiration
The Incognito team was inspired by every day experiences, whether it was being too lazy to visit a doctor for any doubts we had about our health, or the fact that we were privileged enough to visit a doctor whenever necessary. We wanted to do something that could change lives, and we decided that healthcare would be the best way to do so, because through Incognito, we will be able to save lives, by diagnosing critical diseases in their early stages. Furthermore, we were inspired by family members who suffered from Parkinson's Disease... maybe if they had access to good healthcare, their lives would have been saved. Maybe, if they had been diagnosed earlier, they could have lived a more comfortable life. Thats why we're here: we believe that everyone deserves a chance at living, no matter what their background is.
What it does
Incognito is intuitive: draw a spiral, take a picture, and upload it to our webapp to diagnose whether you have Parkinson's, in under a minute. The Incognito team loves simple things, whether it is our simple UI, our easy-to-follow instructions, or the convenience that comes with a web app! In fact, Incognito only requires a phone camera. That's it. No MRI scans, no PET scans, and definitely no microscopes. The user simply draws a spiral, clicks a picture, and gets diagnosed, in under a minute. Instead of taking a long trip to the hospital and waiting amongst people with the flu, we bring the hospital to you. Instead of paying an absurd amount of money to get scanned, we do the fancy image analysis for you. Incognito is simple to use, for anyone and everyone. Whats more? We compete with the pros when it comes to accuracy, but the difference is, Incognito is easy, free, and time-friendly (we of all people know the importance of efficiency)!
How we built it
The Incognito team utilized Convolutional Neural Networks, CNN's provide the highest accuracy when it comes to image detection. We developed an efficient preprocessor to improve the results of our model, including tools such as OpenCV. In fact, we put heavy emphasis on optimizing our code, whether it was through gray scaling images or using the smallest sized images as possible. A lot of work was done on the model to achieve high accuracy, and we've perfected it to our best ability. Furthermore, we utilized bootstrap and css for frontend development, as it is intuitive and provides the most refined results. Much of the frontend was developed through templates that we found visually pleasing. Django was used for further backend processing.
Challenges we ran into
The Incognito team ran into numerous challenges, whether it was timezone differences or technical difficulties. Our ML developers were having issues with their pickle files, which took
much
googling to fix. Because the Incognito team took a long time to find an idea we were passionate about, it became difficult to do so many tasks in such little time. Our frontend and backend developers worked tirelessly to have a working and visually pleasing User Interface, which was very rewarding. We had to decrease the size of our model in order to host it, which we found incredibly challenging, due to the fact that we wanted to maintain our accuracy. With a lot of tweaking and shifting, we were able to gain maximum accuracy for a model of its size. We have also faced numerous issues when it comes to hosting the web app, which is something we are currently working on (after all, we want our users to have the best time possible). At Incognito, time is our biggest challenge, whether it is beating Parkinson's, or developing our app in under 24 hours.
Accomplishments that we are proud of
We are proud of our entire web app, whether it is our important cause, or our app which was completed in such a small timeframe. We are proud of the fact that when we do launch our app, it will help millions who do not have access to healthcare (and maybe inspire other developers to tackle the same challenge). We are proud that we were able to locally host our web app, which was definitely unexpected, and we are most proud of being able to achieve a high accuracy on our Neural Network. On a less important note, we are proud that our website doesn't look like a virus (We're looking at you, Oracle). Even less importantly, we think our name is pretty slick.
While we are proud of every single part of our app, we know that it is not perfect. We would like to make ourselves and our users prouder, whether it is through improving our UI, increasing our model's accuracy, detecting more diseases, and maybe,
just maybe
actually hosting our app for the public (just kidding, we'll definitely be doing that).
What we learned
The Incognito team learned a lot. We learned how to develop a fully functioning web app in under 24 hours, which is something none of us have done before. Our ML, frontend, and backend developers had to go into the nitty gritty details about each aspect, therefore solidifying our understanding of all three areas further. We also learned how to wake up before 2pm, but thats a discussion for another time.
What's next for Incognito
The Incognito team has already started expanding, as you are reading this. We plan to develop a large team of capable members to create models for multiple diseases, so you can import
any
photo, and get yourself diagnosed. It will become a hospital on a 5.6 inch screen (yes, we searched up the average smartphone size). We also plan on improving our model accuracy, and of course, improving our UI and hosting our app. Incognito fully plans to fulfill its name, and cover people with all kinds of conditions who may be incognito to the healthcare system. Incognito will help millions, you can take our word for it.
Thanks for reading (you deserve a cookie, but due to a special virus, we can't give it to you)!
Instructions
Draw a spiral on a piece of paper
Take an image of your spiral
Go to
http://amazingbuilder123456.pythonanywhere.com/
Upload the spiral
Enter your email
Submit
Check your email for results!
Side Notes
Accuracy for the model is not too high because we chose to compromise accuracy to have the model fit into the website. In the future we can deploy the model as a microservice and help bring up accuracy.
(Only read if you are a sigma hacks member)
After the sigma hacks deadline we were able to integrate the AI model into the website and make it work. You can look at the newly improved website now.
For flare hacks we were able to get the website working and integrate the AI model!
Built With
bootstrap
css
django
keras
opencv
python
tensorflow
Try it out
github.com
amazingbuilder123456.pythonanywhere.com | Incognito | Healthcare. For all. | ['Anish Karthik', 'Pahel Srivastava', 'Gaurish Lakhanpal'] | [] | ['bootstrap', 'css', 'django', 'keras', 'opencv', 'python', 'tensorflow'] | 22 |
10,331 | https://devpost.com/software/resist-3i7hf1 | Logo
Try it out your self. Scan the QR code on your phone and hold the camera on the QR.
Try it out another one your self. Scan the QR code on your phone and hold the camera on the QR.
Inspiration
In recent months, all across the world people have been coming out of their homes to protest against police brutality and for things like the Black Lives Matter Movement and women's rights and equality. We were inspired by this and wanted to create an app that would help people find nearby protests and rallies where they could express their voice. Generation Z has been very vocal on their opinions and many peers I know are protesting along, posting images on social media (black out Tuesday on Instagram).
What it does
Using a Google Maps API, app users are able to look for different protests and rallies near them. Markers on the map show where the rally will be held and when clicked on, gives more information about what day and time to protest or rally is. They can show the markers to their friends who can scan it on their phone giving a new and useful way to spread information. To use these markers, we used echoAR's augemented reality function. There are two QR codes below that you can scan on your phone to test these functions.
How I built it
We first designed it through Figma (link below) and used Android Studio to build it out. Both Aditya and I have never used Android Studio and had some trouble getting started. After getting the hang of designing the xml files, using connecting them to the class files, we had lots of fun making the project. For the email and password authentication, we used Firebase's realtime databse which we connected through the tools page in android studio. To connect it through echoAR, we linked the QR images to the onclick method of the map. Using google maps API was a challenge for us as it was very difficult for us to understand how to get the location of the user and how to use fragments. However, we found some documentation on the basics of the API that allowed us to expand to find the users location.
What's next for Resist
We are hoping to expand resist to include a messaging service so that people can communicate with others who may be interested in attending the same protests or rallies as them. We also want to find a way to parse through Facebook and Twitter posts using AI to find posts about rallies and protests.
Built With
android
echoar
figma
google-maps
java
studio
Try it out
github.com
www.figma.com | Resist | Through our app, which connects people to local movements of all kinds near them, people can find others with similar perspectives and ideas. | ['Jason Zhu'] | [] | ['android', 'echoar', 'figma', 'google-maps', 'java', 'studio'] | 23 |
10,331 | 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'] | 24 |
10,331 | https://devpost.com/software/comida-k98uoy | Inspiration
The inspiration for creating Comida was when I noticed that many people, like me, were starting to cook and eat their meals at home more often, and as a result, leftovers were being stored in the fridge for a long time. Since, after many months of eating at home, people are simply tired of eating the same meals over and over again, leftovers that were stored in the refrigerator would end up in the landfill anyway. This is a massive issue, because after ending in the landfill, the spoiled food decomposes and releases methane in the atmosphere, which can contribute to global warming. If food continues to be ending up in the landfill, our environment will slowly deteriorate.
What it does
Comida provides data-driven recommendations on what to make with the leftovers that are stored in your home. In addition, when producing solutions, it takes into account your allergies and how much time you have on your hands in order to produce these results. Finally, it asks for where and how long that you have stored these leftovers, and generates warnings if the food is said to be past its general expiration date. If this does occur, tips on how to safely store that specific food in the future will be shown as well as well as if anything can be done to the spoiled food, such as be used for fertilizer.
How I built it
In order to create this, Flask was used for the backend. The Reddit API and Python was used to parse through posts on reddit and find those with the most upvotes to make with that ingredient. Finally, the user interface of the website was created using HTML, CSS, and Javascript.
Challenges I ran into
Because I had never used Flask before, I had to go through multiple tutorials to figure out on how to use Flask to connect the Python script to the front end. Also, creating the website's layout was difficult because I wanted the website to look aesthetically pleasing, but at the same time, it had to be simple for the user to be able to input information and receive the output. After much deliberation, I arranged the results of the recipes in a table, as it was easy to comprehend and had a clean look. Also, I read the Python Reddit API Wrapper multiple times in order to implement the correct functions to pull specific data from each post.
Accomplishments that I'm proud of
I am proud of being able to create a functional platform that users can use to find new recipes to create with their leftovers. Also, I love the way that the website turned out, as it is clean and has an easy-to-use interface.
What I learned
I learned how important brainstorming and thinking through one's ideas is. Before starting on my project, I thought through the problems that people are facing during this time, and wrote down my thinking in order to create this platform. This was extremely helpful and gave me a clear idea of what my idea would be. In addition, I learned how to use Flask to connect the Python script that I wrote to pull specific information from Reddit to the front end, and allow it to respond to a user's input.
What's next for Comida
In the near future, I hope to spread my platform for people to utilize in order to prevent food wastage. Instead of throwing it into the landfill, they can create new recipes with it and enjoy a delicious meal altogether! In addition, I hope to incorporate an image classifier model that would be able to recognize an image with multiple dishes or ingredients, and find recipes for people to make with those. Comida can be used after the Covid-19 pandemic is over as well, and will help people to make environmentally friendly decisions as well.
Built With
css3
flask
html5
javascript
praw
python
Try it out
github.com | Comida | A platform that encourages people to try new recipes by using their old leftovers! | ['Riya Bhatia'] | ['Third Place'] | ['css3', 'flask', 'html5', 'javascript', 'praw', 'python'] | 25 |
10,331 | https://devpost.com/software/itutor-bntd5h | Inspiration
Education involves gaining knowledge and skills
that people are expected to have in a society.Like
all other fields, technology has gained importance
in education and training also.
In 21st century programming is an essential skill,
it teaches one how to think.
Learning programming might be easy for some of
us. YouTube,Programming courses are there but
not everyone learns in same way.
Some of us requires individual attention & line by
line guidance.
But there are no platform where we can learn
programming one to one remotely.The existing
solution are tedious and time consuming,which
takes away the essence of learning programming.
What it does
Gives a common online platform for live videochat, programming, real time connection without using different software, like team-viewer, skype, text editor.
How I built it
HTML :-Hypertext Markup Language, a standardized system for tagging text
files to achieve font, colour, graphic, and hyperlink effects on World Wide
Web pages.
CSS :-CSS describes how HTML elements are to be displayed on screen, paper,
or in other media
JAVASCRIPT:-JavaScript is a scripting or programming language that allows
you to implement complex things on web pages
FRAMEWORKS AND LIBRARIES
BOOTSTRAP:-Bootstrap is is the most popular CSS Framework for developing
responsive and mobile-first websites.
jQuery:-The purpose of jQuery is to make it much easier to use JavaScript on
your website
NodeJS:- It is an run time environment that allows browser javascript to run
on your console.
Express:-Web application framework that provides a robust set of features for
web and mobile applications.
MONGODB:- It's an no-sql database that stores data in the form of JSON
DATABASE -
DATABASE(m-LAB) :- mLab is fast hoisting service for mongodb
FILES(heroku):-Heroku is a platform as a service that enables developers to
build, run, and operate applications entirely in the cloud.
Challenges I ran into
I ran into problem of using data to present it in front end in beautifull manner.
What I learned
I learned how to build complete end to end applications.
Built With
bootstrap
css
express.js
heroku
html
javascript
jquery
m-lab
mongodb
node.js
Try it out
itutorsanjay.herokuapp.com | iTutor | To provide an online platform to learn and teach programming one to one remotely | ['Sam J'] | [] | ['bootstrap', 'css', 'express.js', 'heroku', 'html', 'javascript', 'jquery', 'm-lab', 'mongodb', 'node.js'] | 26 |
10,331 | https://devpost.com/software/medbot-eby8c9 | medBOT
medBOT work process
medBOT Architecture and Design
Inspiration
The post Covid-19 situation will increase the demand for essential medicines to ensure better healthcare and personal hygiene. Finding the required medicine, without going out of home,from the nearest shop has become a preference for all. To assist this cause, the project we have build is
medBOT.
What it does
medBOT
helps the users to query about the nearest medicine shop for the essential medicine. It automates the query process through a chatting experience so that the user doesn't have to go through a catalog of shops to set an order.
medBot
recommends and performs order placement in nearest medicine shop for the user.It finds the requirements through Natural Language Processing. Also it has a suggestion module for the
How I built it
I used python to build the
medBOT
. Python's Natural Language Processing package 'NLTK' performs tokenization and stemming the words. Then pyTorch was used to train the model using the stems. Google Colab was used as IDE.
Challenges I ran into
pyTorch installation in local machine is a cumbersome process .
Making the dataset from scratch was a tiresome work.
Training on a large dataset without GPU support creates a long loading runtime issue.
Hosting the server in local host has been an issue in my part so I had to end up using co-lab command based IDE for demonstration.
Accomplishments that I'm proud of
I could implement the chatBot that will work as a Brain/Backend for my system. As I was a one man team,this was a great thing for me.
What I learned
I learnt Natural Language Processing, NLTK tokenizing, building and training neural networks using pyTorch.
What's next for medBOT
Giving a nice appbased UI
Recommendation of shop using Travelling Salesman Recommender system
Built With
google-colab
nltk
python
pytorch
Try it out
github.com | medBOT | medBOT aims at meeting the demand for essential medicines of an individual through an automated order placing and chatting experience. | ['Araf Mustavi'] | [] | ['google-colab', 'nltk', 'python', 'pytorch'] | 27 |
10,331 | 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'] | 28 |
10,331 | https://devpost.com/software/vlearn-fxhc3t | Inspiration
Awareness and Education are two of the essential ingredients of developing belief. Awareness has been highlighted by many as a key indicator of success in a range of performance environments. It is arguably the most important ingredient for belief as every other skill, quality, and task you have and undertake can be traced back to awareness. Being aware will give you an insight into your beliefs and whether they are positive or holding you back. But it takes a lot more than information to make kids understand and follow things. While on the other hand education is important to shape an individual. I wanted to make something that helps create awareness, about the do's and don't s of Covid-19 among kids, alongside it being entertaining, immersive, and educational. What better way than games to do this, and as VR is the best immersive technology available out there and keeping in mind the tendency of kids to explore new things, this application has been developed.
What it does
It is a multiplayer Virtual Reality Quiz Application. The app has many topics to choose from to play, which also helps spread awareness about COVID-19, other preliminary things that kids need to learn. It also has a real-time leaderboard of every topic that people choose to play.
How we built it
A. Unity3D- It is built on unity3d which is a powerful cross-platform 3D engine and a user-friendly development environment. I used unity to build the whole game from UI to Realtime database system to the game itself.
B. Google VR SDK - a new open-source Cardboard SDK for iOS and Android. I used the Google VR SDK to develop the VR game scenes, which is not possible without it.
C.Photon PUN - Photon Unity Networking (PUN) re-implements and enhances the features of Unity's built-in networking. I used it for networking.
D. Google Firebase - Firebase is Google's mobile application development platform that helps you build, improve, and grow your app. I used Firebase, to make manage database systems to verify credentials, sore data, retrieve data, update leaderboards.
E. Photoshop - I used Photoshop for the development of user interface elements.
Challenges we ran into
As this is a multiplayer application, to store and retrieve data in real-time (real-time database) I used Google-Firebase (Unity SDK), integrating it with unity has been tough work. As this is the first time I was working on networking using PUN, it has been a problem, as networking is not as easy as it seems to be, with PUN having many internal issues in my version of unity, I had to make the whole non-networking scenes again in a new version that supported PUN.
Accomplishments that we're proud of
I could finish the development of the application in less than a day.
What we learned
Integration of realtime databases with unity apps, networking.
What's next for VLearn
The VR application currently supports Android, Windows and hence the next goal would be to make an ios version, redefine UI, and releasing it to production so that users can have an immersive experience of modern gaming and education techniques.
Built With
c#
firebase
googlevr
photon
unity
Try it out
github.com | VLearn | Immersive Approach To Awareness and Education. | [] | ['submitted the same hack to multiple hackathons and did not realize this is not a serious hackathon?'] | ['c#', 'firebase', 'googlevr', 'photon', 'unity'] | 29 |
10,331 | https://devpost.com/software/trainar-tpari2 | Inspiration
In the time of this pandemic, we are currently going through a lot of problems regarding trainings and learning, especially in hardware. As we have to maintain social distancing, there are no institutions open where can can upskill ourselves. So, we have to depend on online learning platforms. But, we do not have access to any of the hardware sitting at home, so it's not possible to understand fully the working of a hardware machinery.
What it does
So, we have made an augmented reality based application which enables the users to interact with the object in 3D.
The user can touch on any part of the 3D model and get the information written as well as in sound.
How I built it
We made it using Unity Engine and C# scripting.
Challenges I ran into
The challenge was to make it interactive and user friendly.
Accomplishments that I'm proud of
The UI is quite simple so that the learners do not get confused and are able to learn easily.
The highlight feature enables the users to touch any part of the hardware and that particular part gets highlighted and the use and feature of the highlighted part is written on the screen as well as in sound. The user can zoom and see each and every part of the machine/tool they want to learn.
What I learned
I learned that teamwork is the key for success in any field. And being patient.
What's next for TrainAR
We can get accounts for users and also save the progress till where the user has completed or from where to start it.
Built With
ar/vr
c#
unity | TrainAR | Get trained using AR and VR | ['Saumya Bathla', 'Muskaan Mittal'] | [] | ['ar/vr', 'c#', 'unity'] | 30 |
10,331 | https://devpost.com/software/augmented-reality-birthday-fiesta | Inspiration
Birthdays are special .
A reason to celebrate , party and have fun from that hectic schedule.
but since the start of quarantine, we haven't been able to go out much. We miss spending time together with old friends and relax. So we thought, If we can't go outside, why not bring happiness to us and to our loved ones?
Augmented Reality Birthday Fiesta is an AR application that allows to have that special birthday experience inside and also helps in mental piece of mind .
What it does
The
Vuforia
apps installed in your phone with provided image targets in the
Vuforia database
will show all the birthday _ bombings _.This Unity3D birthday AR allows you to recieve databases including image targets and to regenerate all your birthday memories in reality.
The
AR Foundation
app installed in android with
AR Core XR Plugin
helps to provide session and to identify default plane for the balloons to be at the specific location tapped by the user. Also AR Foundation with
AR Face Tracking
library which will track your face and then you can try funky stickers for your face 2D + 3D Effect in replacement of real face masks.
You have several options to explore inside the AR:
Balloons
Card magic tricks
3.Funky faces
3D Cake
3D Gifts
Glass Cheers
How I built it
Inside Unity using packages:
1.Vuforia
2.AR Foundation
3.AR Core XR Plugin
4.AR Face Tracking
and installing apks in the mobile with target images.
Challenges I ran into
It is compulsory for AR Foundation application for android that
Google Play Services for AR
should be pre-installed inside the android else you will only see black screen.
It was hard to find models and alignment for perfect experience.
Importing packages and databases multiple times
Accomplishments that I'm proud of
It will give you the best birthday experience inside home.
Every thing in the applications works .
What I learned
Making apps with Vuforia
2.Vuforia database and importing
Vuforia with 2D and 3S
3.Manipulating Images
AR Foundation with AR Core XR plugin
Using AR Face tracks
What's next for Augmented Reality Birthday Fiesta
We will add more elements like fireworks, party bombers etc.for better experience
Built With
ar
arfacetrack
arfoundation
unity
vuforia
Try it out
github.com | Augmented Reality Birthday Fiesta | for all our party people | ['blackcrabb Niyati', 'saumya shakya'] | ['Second Overall'] | ['ar', 'arfacetrack', 'arfoundation', 'unity', 'vuforia'] | 31 |
10,331 | https://devpost.com/software/savior-u8dwn2 | saviour-help
saviour-pseudocode
saviour-practice
saviour-style
saviour-check
Inspiration
There were three main problems we faced when we started with programming:
First: We didn't have an active internet connection and since all the coding challenge websites like Hackerank and CodeWars worked only with an internet connection, it was particularly difficult to practice our skills.
Second: We had to search StackOverflow and other platforms to find solutions for programming problems. But, a lot of times the code would not be explained properly and we had a hard time figuring out what it did. Also sometimes we'd write code without properly documenting it or adding comments and then later wonder how it worked.
Third: We didn't knew how to style our code properly or what styling practices to follow.
We created a python package that helps us with all these issues aka our Saviour.
What it does
It has three main components, you can view a list of commands by running saviour-help. They are
Saviour-style -> used for code styling using pep8 standards
Savior-pseudocode -> used for generating pseudocode from a program
Savior-practice -> Used for practicing programming questions offline
How We built it
We have used UiPath automation tool to scrap the questions data from the Project Euler website.
For the code styling, we used autopep8 to conform the python code to pep8 styling standards.
The pseudocode generator works primarily by replacing certain keywords and functions from a normal line of code to plain-english so it is understandable by anyone.
Challenges We ran into
3 of our team members are new to programming with python, so we had some difficulty working with packages.
The autopep8 library had poor documentation so it took time to get it to work. We had to make the output code not only correct but also highly presentable.
The pseudocode generation part was particularly difficult as we had to consider a lot of conditions to get it to output in as simple English as possible.
Other than that, we all live in different time zones, so we had to literally keep track of each other's progress everytime.
Accomplishments that we're proud of
We are proud of the fact that we were able to make a program closest to the actual idea we had.
What we learned
Data scraping using UiPath
Pep8 code styling standards
Making python packages and command line scripts
What's next for Savior
We will work towards building an even smarter pseudocode generator that can work with multiple programming languages. We will try to add more questions to our offline Saviour-practice module.
Built With
pep8
projecteuler
python
uipath
Try it out
github.com | Saviour | Want your code to be stylish, or generate Pseudocode to understand someone's program? Introducing the Saviour, it can do all of this plus give you challenging questions inspired by Project Euler. | ['Amanjot Singh', 'Jashanjot Pruthi', 'Jatin Dehmiwal', 'Priyank Patel'] | ['Third Overall', 'Best Hack for Hackers'] | ['pep8', 'projecteuler', 'python', 'uipath'] | 32 |
10,331 | https://devpost.com/software/giftswapr | Inspiration
This app is inspired by the popular and super fun game Secret Santa that we have all played during Christmas. Except, with a twist... This game runs all year long, and gives celebrating birthdays an element of surprise.
What it does
Giftswapr is a mobile app that allows you to create wish lists for your birthday, and anonymously gift your friends stuff on their wish-list. It is a fun app that gamifies the process of celebrating birthdays! You can search for you friends' username and claim items on their wish-list, as well as customize and create your own wish-list for your friends to see.
How we built it
Figma for design.
React-native for front-end.
Flask python for back-end server.
MongoDb for storing user data.
Gcloud for web hosting.
Challenges we ran into
We decided to participate when there were only four hrs left for submission (lol) so we had major time constraints.
Getting the react native to work fast.
Web hosting
Accomplishments that we're proud of
Pulling off a fully functional mobile app in such less time.
Creating a responsive and clean UI.
Setting up a functional backend server and db.
What we learned
How to use React Native.
MongoDb.
Gcloud hosting.
What's next for GiftSwapr
We want to make the login system more sophisticated, with password reset.
Notifications for friends' birthdays, and integration with calendar.
Sophisticated search engine using elastic
Built With
appengine
flask
gcp
mongodb
python
react-native
Try it out
github.com | GiftSwapr | Be the Secret Santa on your best friend's special day. | ['Veer Gadodia', 'Nand Vinchhi', 'Muntaser Syed', 'Ebtesam Haque'] | [] | ['appengine', 'flask', 'gcp', 'mongodb', 'python', 'react-native'] | 33 |
10,331 | https://devpost.com/software/drop-a-smile | dropasmileinthis.space
Inspiration
The world around us can be a sad and depressing place. However we are all willing to help another person out if we see or know about someone in distress or needing help. With technology we can make the helping nature of people come to life and spread smiles!
.
What it does
this is like a waze of helping people. When we see or notice someone is trouble or needing help (not a 911 emergency, we absolutely recommend calling the authorities for anything observed of a serious nature) a user can place a pin with an emoji on it using our app. The emoji can signify what the problem is, and can be accompanied by a small text description and/or an image.When someone uses the app to see this, they have the chance to help the situation and can then share that they have changed this by changing the emoji of the pin into a smile :)
.
How we built it
frontend was built with react native
the maps were built using GCP google maps api
the backend was built using GCP google serverless functions
the database was hosted on mongodb atlas .
Challenges we ran into
keeping the map active and refreshed
emoji animation
.
Accomplishments that we're proud of
the system actually works.
What we learned
we were actually surprised this wasnt a thing before.
What's next for Drop-a-Smile
hopefully some charitable organization can use this system, we would be glad to build out a robust version for free use..
domain registered: dropasmileinthis.space
Built With
google-cloud
mongodb
react-native
Try it out
github.com | Drop-a-Smile | Happy communities! | ['Ebtesam Haque', 'Muntaser Syed'] | ['Certified Dank'] | ['google-cloud', 'mongodb', 'react-native'] | 34 |
10,331 | https://devpost.com/software/hackermatch-hke7qy | Inspiration
For many hackathons, we have had trouble finding new teammates to fit our interests and abilities to work with. The DevPost system of finding a hacker that was looking for a team, and then emailing, and usually waiting weeks for responses, only to hear that the hacker was with another team. Because of the tedious process of making teams, we wanted to create a platform that connects hackers quickly through an easy to use mobile app that acts similar to Tinder. You swipe on hackers' profiles depending if you like their skillset, and you are matched with a team to fit your needs.
What it does
Our app serves to connect Hackers and form teams for Hackathons by connecting users with similar interests and abilities. To register, the user gives some identification and also fills out a short survey. Then, the results of the survey are passed into an algorithm where the backend matches users with similar interests and technological abilities, making the best matches possible. The best matches show up on the users swiping page, where the user can swipe right to indicate a pass, or swipe left to indicate a match. For a match, the user's information and the match user's information are sent to the backend, where they are combined to form a team. Then, a team forms on the team page and users can connect with each other through their discords. Basically, its like Tinder but for matching hackers into teams of a certain size.
How we built it
The frontend was built with Flutter. We chose Flutter because it is easy to work with, gives excellent widgets essential for the app's swiping functionality, and easy to integrate with the backend. We used two backends to hold user data: Firebase and MongoDB. The user's information was stored in both, however Firebase was used to call the user information directly from the app, and that information was passed into http post requests to the backend, where the actual matching happened.
The main backend was a database hosted on mongodb atlas and the matching algorithm and access methods were implemented on GCP using google's serverless functions.
The algorithm works basically like Tinder, except instead of making pairs it forms teams of multiple people.
The lists of users shown are first filtered by some of the user entered factors, for example some hackers may not want to be in a mixed gender team, and some hackers may not be comfortable in a team with all newcomers or all experienced hackers.
We then sort based on some key indicators such as
what the main aims of the hacker are at the hackathon
how comfortable they are with new technology
how focused they are on the area they chose
how open they were to choosing a different idea if they already had one
etc.
When matches are mutual, they get grouped into teams which then can be seen by users.
Challenges we ran into
Making an abundance of users was tedious because we had to fill out information and take the survey for 15+ users, since we wanted a diverse array of users to be matched according to their interests. We also had a bit of trouble communicating between our front end and backends, since for firebase and mongoDB, we used slightly different formats to store the user data.
Accomplishments that we're proud of
We were able to complete our product. We also were proud to seamlessly integrate the two backends together and connect them to the frontend.
What we learned
We learned that using two backends instead of one when communicating with Flutter is much easier than the one mongoDB database. We learned how easy it was to use firebase with Flutter, and we will be using it much more often in the future.
What's next for HackerMatch
We want to extend our service for multiple hackathons, and not just for the single hackathon that is currently available for our app. We want to make some kind of menu where you can sign into your DevPost account, and from your hackathons, choose teams using our app.
Built With
flutter
google-cloud
python
Try it out
github.com | HackerMatch | A platform to connect hackers and form teams for Hackathons! | ['James Han', 'Muntaser Syed'] | [] | ['flutter', 'google-cloud', 'python'] | 35 |
10,331 | https://devpost.com/software/clean-and-green | The welcome page for our app!
You get to choose your language after you press the get started button.
This is the menu.
If you press on the button to calculate your carbon footprint, you are brought here.
You have to do this simple quiz to get your result.
Then, after you do the quiz, you get to know how many earths it would take if everyone lived like you. The screenshot is just an example.
If you go back to menu and press the short quiz on climate change, you are brought here.
After doing it, you get your score.
If you go back to menu and press "Everything you should know...". you are brought here.
If you choose the first option of the fun fact generator, you are brought here.
If you choose the second option by just reading facts, you are brought here.
If you go back to menu and press the "How you can help" button, you are brought here.
If you choose the "Learn by playing games", you are brought to this instruction page.
Then you are brought to the game.
If you choose the "Learn by reading", you are brought to this page.
If you go back to menu and choose the impact of COVID-19 on the Earth, you are brought here to the information page.
If you press "Next page" on the previous screen, you are brought here.
If you go back to menu and press "Collection of games", you are brought here. We already showed the fun fact generator and Save the earth!.
If you choose Draw the earth, you are brought here.
If you choose Catch the CO2, you are brought here.
If you go back to menu and choose sources used, you are brought here.
Inspiration
Climate change is a serious issue in the world today. Current efforts to solve and promote the issue of climate change has not been much effective. In our opinions, the key to solve climate change is to get more advocates, but in what why? That was the question we were stuck on. After doing hours of brainstorming and research, we found out that if there were more young people in the society who were more knowledgeable about the issue and know the potential effects of climate change, they will be more motivated to spread the information and change their lifestyle. Thus, we created our app with a slight twist to it: we filled the app with different interesting games for you to learn more about climate change, which could possibly motivate you to take action. There is, of course, also information which you can read if you prefer it that way.
What it does
Our climate change app has several sections. Firstly, there is a quiz which you can do to test out your carbon footprint and see how many Earths it would take if everyone lives like you. In the quiz, it asks you few simple questions about your daily lifestyle. After you have completed the quiz, you get to know a cool fact (if everyone lived like you, how many earths it would take) that might serve as a motivation to what you can do to help alleviate the severity of climate change! Secondly, there is a short quiz on climate change which tests your knowledge on general information on climate change. This quiz allows you to learn from your mistake and gain more knowledge on the basic facts of climate change. Thirdly, there is a place for you to learn more information on climate change. Even if you think you know everything about this issue, there is always more to learn! In this section, you can choose to either read facts or generate facts about climate change. Both ways are great ways to learn but it all depends on you and how you learn best! Fourthly, there is a place where you can learn about how you can help. This section is also divided on to two sections, a fun game or a short passage to read. The game is where you have to answer true or false questions of what you should do to contribute to alleviating the severity of climate change while also playing a game. The game is mischievous so get ready! Also, there is an instructions page before the game starts. Additionally, there is a place for you to learn how the ongoing pandemic (COVID-19) has affected the world. There are lots of interesting and very surprising facts and diagrams that we have created ourselves so make sure to look and read through that! Specifically, the diagrams and text compare aspects of the world before COVID-19 and during COVID-19. Last but not least, there is a tab for collection of games relating to climate change. These creative games are fun and are meant to motivate people.
How we built it
How we built this app is through a variety of steps. Firstly, we had to think of ideas to code for and what to include in our app. Secondly, we had to actually code. This step was of course, the most important step, so it took the longest. Over the days of the hackathon, we spent hours working together as a team and programming to make an app that can make a change in the world.
Challenges we ran into
Challenges we ran into along the way were ample. The progress of programming is never easy; a bug in your code can lead to potentially hours of searching for the source of the error. When we started coding for this app, we were first stuck because we had no idea what to code. Then, in order to resolve this issue, we looked around Google for global issues and noticed just how big the problem of climate change is. Thus, we, without a doubt, chose climate change and started working on what to include in our app. We decided that the best way to approach climate change is with a twist: we decided to fill the app with fun games and exciting quizzes to inspire people to join us in the battle against climate change. Over the days of the hackathon, we also sometimes had trouble coding. Sometimes, we as a team would have no idea how to continue. To resolve that, it required preservation, teamwork and resilience. We battled through the obstacles and spent long hours figuring out what to code and how to go about the app. All in all, though we definitely ran into loads of obstacles along the way, it was still a great learning experience.
Accomplishments that we're proud of
In the process of creating this app, there has been times where I feel proud of succeeding but there has also been times where I felt down for not being able to do something. However, I always made sure to know that failure brings you to success! Specifically, we are proud of the collection of games tab. In this tab, there are four games that allows people to interact with the app while also learning more about this issue. The first game is the fun fact generator. This can teach people about climate change. The second game is the save the earth game. In this game, the player have to try to get the image of the earth to touch the balls while also answering questions about what you can do to help. This is an excellent way to let the player learn about climate change while not feeling bored. The third game is the draw the earth game. This game is directed to children as they are allowed to have fun, be creative while learning. The last app is the catch the carbon dioxide game. This app is similar to the catch-the-mole game.
What we learned
From creating this app, we have learned that climate change is a much more urgent and serious issue than we thought it was. It is important to note that it is probably not only us who just recognised it, there are so much people out there that doesn't take climate change as seriously as it seems. From researching about climate change to incorporate into my fun fact generator to making games that motivates people to do something about climate change, it really upsets me to know that the climate is warming, animals are not living their desired life, plants' population are slowly declining, animals are going critically endangered and extinct but... so many people are not doing anything about it. Additionally, I have learned that many of the climate change activists has actually been exposed to this issue at a very young age. Therefore, by creating this app, I decided to add more components that is fun and exciting for children like catch the CO2 and draw the earth so that we can have more of activists in the near future.
What's next for Clean and Green
After creating this app, we, as a team, have decided to publish it to the internet so that the public can use it to learn more about climate change in a less boring and more exciting way. Instead of having facts thrown at them, they have the opportunity to learn through games and interact with the app. We are still trying to find more ways to get more people to use this app!
Built With
block-code | Clean and Green | We aim to motivate and inspire not only adults but also children to learn more and take part in the battle against climate change through exciting games, surprising facts and interesting quizzes. | ['Lisa Huang', 'Melissa Huang'] | ['Sustainability Track'] | ['block-code'] | 36 |
10,331 | https://devpost.com/software/covid19_tracker-mzsc6y | This project was bootstrapped with
Create React App
.
Available Scripts
In the project directory, you can run:
npm start
Runs the app in the development mode.
Open
http://localhost:3000
to view it in the browser.
The page will reload if you make edits.
You will also see any lint errors in the console.
npm test
Launches the test runner in the interactive watch mode.
See the section about
running tests
for more information.
npm run build
Builds the app for production to the
build
folder.
It correctly bundles React in production mode and optimizes the build for the best performance.
The build is minified and the filenames include the hashes.
Your app is ready to be deployed!
See the section about
deployment
for more information.
npm run eject
Note: this is a one-way operation. Once you
eject
, you can’t go back!
If you aren’t satisfied with the build tool and configuration choices, you can
eject
at any time. This command will remove the single build dependency from your project.
Instead, it will copy all the configuration files and the transitive dependencies (webpack, Babel, ESLint, etc) right into your project so you have full control over them. All of the commands except
eject
will still work, but they will point to the copied scripts so you can tweak them. At this point you’re on your own.
You don’t have to ever use
eject
. The curated feature set is suitable for small and middle deployments, and you shouldn’t feel obligated to use this feature. However we understand that this tool wouldn’t be useful if you couldn’t customize it when you are ready for it.
Learn More
You can learn more in the
Create React App documentation
.
To learn React, check out the
React documentation
.
Code Splitting
This section has moved here:
https://facebook.github.io/create-react-app/docs/code-splitting
Analyzing the Bundle Size
This section has moved here:
https://facebook.github.io/create-react-app/docs/analyzing-the-bundle-size
Making a Progressive Web App
This section has moved here:
https://facebook.github.io/create-react-app/docs/making-a-progressive-web-app
Advanced Configuration
This section has moved here:
https://facebook.github.io/create-react-app/docs/advanced-configuration
Deployment
This section has moved here:
https://facebook.github.io/create-react-app/docs/deployment
npm run build
fails to minify
This section has moved here:
https://facebook.github.io/create-react-app/docs/troubleshooting#npm-run-build-fails-to-minify
Built With
css
html
javascript
react
Try it out
github.com | covid19_tracker | A covid 19 tracker including map representation, graph representation, total live cases representation and country wise details of the cases, recovered and deaths | ['Fayaz Azeem'] | [] | ['css', 'html', 'javascript', 'react'] | 37 |
10,331 | https://devpost.com/software/cov-care | Page shows requests of patient on site
Patient Details page
Login page
Register a new patient
Homescreen page of website
Login page for patient on app
Various Sign up options for patients with different medical background
Patient can update his/her medical parameters here
Sign up form for requesting hospitals
Inspiration
As the number of patients of COVID-19 continues to increase at an unpredictable rate, the number of beds in hospitals and centers set up by the government fall short of the requirement by a huge margin. The condition is so severe that the reports indicating the incidents of patients being kept on streets have surfaced recently. All patients are not required to be kept in specialized care units. Home quarantine and isolation with proper guidelines can be implemented in these less severe cases. This project is created to bridge the gap between the medical service provider and the patient.
What it does
Specialized care is expensive and not required by everyone, this will provide an inexpensive alternative to conventional methods.
-The extreme pressure on hospital beds will be reduced and more beds will be available to those in actual need.
-Early and efficient intervention and identification of suspected patients will help reduce the spreading of this highly contagious infection.
This service has two interfaces, which we will individually deal with in the subsequent sections:
Patient service side
The patients can install the android app and create an account. There is a choice between three categories which were already mentioned in the target user section. The patient then creates an account with the hospital of their choice. If the hospital is available then the patient can log in the app using their phone number as password, which can be changed later. The patient (or an active relative or nurse) can update the medical parameters viz, BP, Temperature, SPO2, Respiratory Rate, and AVPU value. The values entered are timely updated in the database and are monitored by the hospital on the website.
Moreover, each parameter has a set of information about it for instance, What is blood pressure?, How do we measure it? and other guidelines to use the instrument along with links to online tutorials to do so.
Hospital service side
Hospitals can register on the website by filling the sign-up form and can approve the registration of patients.
The dashboard of every hospital displays a list of patients by sorting them on the basis of their MEWS, displaying the more severe patients above and then the less severe once. The doctors can click on the specific patient account to see more details regarding his medical condition. Seeing the MEWS score and SPO2 values the doctors can decide which patients to immediately shift to the hospital.
How we built it
As mentioned above, we have two sides of this project i.e. app and the website and all the technical details are mentioned below:
Tech stack used:
-Java: the android app has been written in the Java language with the help of Android Studio.
-Django: the website is written using Django as the backend framework.
-Bootstrap: the frontend of the website is written using bootstrap.
-Firebase: Firebase has been used as the cloud backend service for the app.
-PostgreSQL: the database management system of the website.
Challenges we ran into
COVCare, as a service, can act as a bridge between medical practitioners and the patients. In order to accomplish this, this service requires active participation of the administration, hospitals and the patients. Fabrication of such a system was a major issue. We agreed upon a system of mobile application and a website to best suit our purpose.
We had to contact doctors to get real time information regarding the guidelines and monitoring protocols implementable currently.
Accomplishments that we're proud of
Certain features of the application that we are proud of and which make this project stand out are:
-This project not only helps the patient to connect with the doctors but also makes it easy for the doctors to analyze and monitor their patients.
-This project is very user friendly, the patients are provided with ample information so as to measure the parameters, they are provided with video links as well. The patients are reminded through notifications to fill in the data.
-No unnecessary information has been asked and the forms are kept informationally tight.
What we learned
This project requires the implementation of Django, BOOTSTRAP, and Java. We learned a great deal about the implementation of these languages to suit our requirements. Several bugs we encountered helped us to engage more with the project. Along with these technical skills we also acquainted ourselves with medical details regarding the coronavirus monitoring, classification of patients in L1, L2, L3 as well as people qualifying for quarantine. This project also motivated us to learn basic skills like Prioritization (80-20 Pareto Principle), team-work, video-making, and a variety of soft skills.
What's next for COV Care
Several essential features can be implemented to make this service more useful. Some of the various features we could not include due to time constraints-
-The application can be expanded to accommodate an information portal rendering important and correct information regarding COVID-19 to dispel all the fake news regarding it.
-A Patient-Doctor chat feature can be introduced to enable direct communication between doctor and patient.
-Notification service can be implemented to notify the worsening condition of a patient to the doctor.
-General improvement of layout and aesthetics.
-Some additional features to make the application easier to use.
-Expansion of the website to allow hospitals to monitor L2 patients in wards and to be notified when the patient needs to be moved to ICU.
Built With
android
android-studio
bootstrap
django
firebase
pyrebase
Try it out
github.com
praxiitr2.herokuapp.com
github.com | COVCare | A COVID Quarantine and Isolation Home Healthcare Service | ['Akanksha Verma', 'Ishan Rawat', 'Sarthak Sharma', 'Prakhar Gupta'] | ['Health Track', 'Open Water Accelerator Internship'] | ['android', 'android-studio', 'bootstrap', 'django', 'firebase', 'pyrebase'] | 38 |
10,331 | https://devpost.com/software/police-brutality-forum | Inspiration
Police brutality has been in the news lately so we decided we wanted that to be the subject of our project. After realizing that more mainstream social media sites are sometimes forced to take down or flag content related to police brutality we decided there was a need for a more independent community.
What it does
It is a forum for police brutality victims and allies to build a community where everyone can share their experiences and resources.
How we built it
We used flask as the framework for our web application. Flask handled the logic and served up the web pages coded using HTML. After completing a back-end and a basic front-end we used a CSS framework, Bootstrap, to make everything look better.
Challenges we surpassed
Creating the database and figuring out the relationship between Users and Posts, Preventing duplicate users/usernames & mismatched passwords during registration, Creating forms using WTForms, Figuring out notifications, Profile picture integration using Gravatar, Email website error notifications to administrators, Accepting Cryptocurrency donations through Coinbase
Accomplishments that we're proud of
We made a functioning website that can be used to help people who have been victims of police brutality.
What we learned
Web Development using flask
What's next for Police Brutality Forum
Next, we will continue to improve on the website by adding more features and sources and well as continuing to make the forum more user-friendly. Examples of upcoming features include implementing a like/dislike system and methods for sorting posts such as by popular and by most likes, password recovery through email, the ability to delete/edit posts, image/link support for posts, and the implementation of tags to sort posts into categories.
Built With
bootstrap
flask
html
jinja
python
sqlalchemy
werkzeug
wtforms
Try it out
github.com | Police Brutality Forum | A forum for police brutality victims and allies to build a community where everyone can share their experiences and resources. | ['Dhruv Batra', 'siya batra'] | ['Honorable Mention'] | ['bootstrap', 'flask', 'html', 'jinja', 'python', 'sqlalchemy', 'werkzeug', 'wtforms'] | 39 |
10,331 | https://devpost.com/software/crunch-lsg1ku | Inspiration
We noticed that a huge number of restaurants and cafes had lost their sales due to COVID-19. They were giving out coupons and offers to get back business but not many came to know of those because of the lockdown (usual means of marketing like word of mouth and newspapers were not working anymore).
What it does
We decided to help such restaurants and cafes by showing their promotions on our website where they can easily sign up and display their offers.
How we built it
We built it through HTML, CSS, JS, and Google sheets API. We made a website through HTML and CSS and then added Javascript to the form and the frontend. We then integrated Sheets API and connected it to the form so we could use a spreadsheet as a database.
Challenges we ran into
Integrating the Sheets API with the signup form was quite tough and this was a major challenge.
Accomplishments that we're proud of
This was the first time that we used Google Sheets API as a database and connected it to a frontend.
What we learned
We refined our HTML and CSS skills and learned the fundamentals of Javascript and database management.
What's next for Crunch
We will now add more features like nearby hotels, more promotions, and mailing offers. We will also try to spread the word about our creation
Built With
api
css
html
javascript
sheets | Crunch | Crunch lets you see offers and promotions of nearby restaurants and cafes. | ['Rushank Goyal'] | [] | ['api', 'css', 'html', 'javascript', 'sheets'] | 40 |
10,331 | https://devpost.com/software/grow-me | Our Logo
Website
Plants Info Page
Plants Info Page
Plant Information
Plant Information
Plant Information Mobile View
Virtual Garden
Garden Log
Inspiration
Earth’s population is increasing, but its land is not. We decided to create a gardening app to help anyone to create a sustainable farm in their very own home while supporting local farms.
What it does
If you are looking to escape from the daily stresses of life or are looking to become a master grower Grow Me is for you. With information about 400,000 plants you can grow virtually anything in your backyard! Grow Me can help you plan and track your garden efficiently and effectively with our virtual garden planner and receive daily reminders to water your plants.
How I built it
The front-end was built with HTML, CSS, React, and TypeScript. We used trefle.io as an API for our project. We also used RxJs for asynchronous state management. The back-end was a combination of Firebase and Java + Spring.
Challenges I ran into
The first challenge we ran into was finding an API or library with the data we wanted. Even after we found a good API, we needed to set up an RxJs store so that data calls could be made effectively and asynchronously. Finally, it was a challenge to make the virtual garden portion of our project.
Accomplishments that I'm proud of
We’re proud that we were able to fetch, display, filter and sort the data, and allow users to create a virtual garden. We're also proud that we are able to develop the front-end and the back-end.
What I learned
As a team, we learned how to use APIs to fetch data, and how to create a backend with Java and Spring. We also learned a lot about gardening and plants.
What's next for Grow Me
We would like to create a GrowMe community that will support and encourage new growers to turn their backyard into a mini farm. We’d also like to improve our database by adding more varieties and info of our plants. Ideally, we'd also like to generate the virtual garden from a satellite image, and calculate amount of sunlight, etc. using Machine Learning. We are also going to try to get an SSL certificate and make our website secure. We believe with more detailed data and more features our project can become a real company!
Built With
css3
firebase
html5
java
javascript
node.js
nodemailer
react
rxjs
spring
typescript
Try it out
grow-me.us | Grow Me | An app to revolutionize the way gardening is planned and executed. | ['Siddhartha Chatterjee', 'Satvik Balakrishnan', 'Humza Dalal', 'Rohan Bodke'] | [] | ['css3', 'firebase', 'html5', 'java', 'javascript', 'node.js', 'nodemailer', 'react', 'rxjs', 'spring', 'typescript'] | 41 |
10,331 | https://devpost.com/software/generating-electricity-by-walking-lnjxyu | 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'] | 42 |
10,331 | https://devpost.com/software/ar-portal-ios-app | Inspiration
When the pandemic began, the lockdown started and everything got indoors then the urge to travel, to explore new worlds,the desire to feel free while travelling inspired us to come up with this idea of
ANYWHERE DOOR
and work towards it's development.
We were all beginners at the moment but the will to create something interesting, to be able to live that moment of turning our imagination into reality kept us moving and motivated. When it finally could be made we called it the
DREAM PORTAL
which truly became a source of turning our dreams true, we were able to live that moment of joy and experience life once again!
## What it does
The app which we have created lets the user enter a desired location and then creates a virtual door through which one can enter into the the location virtually and experience that place with a 360° view and also can see the room left behind himself on the other end of the door which makes this project all the way more charismatic.
How We built it
We first started gaining information as to how and what skills were required in our process which took a long time as we were all beginners but we finally came across unity engine and learned how to work on that within three days and also we worked on A-frame to finalize the project. The incorporation of the 360° view gave us a really hard time and we were not able to move forward but after watching a lot of tutorials, we finally made our
DREAM PORTAL
.
Challenges We ran into
When the whole code was prepared and finalized, the task of uploading it to GitHub became really difficult as GitHub would not accept the code as it is so we had to break it into chunks of code and then upload it and that took a lot of time and made us anxious as to what would happen if we were not able to upload the code in time, but in the end we were able to make it and proceed further.
Accomplishments that We're proud of
When we first started we were complete beginners but as we progressed with our work we learnt a lot and have grown as developers. The project that we were able to make, gives me the confidence that we will give a tough competition to others and not only do we strive to compete but also strive to win this hackathon!
What we learned
We learnt a quite a number of things like the Unity Engine, A-frame.
Then we learnt never to give up and keep solving the problem until its resolved. This project not only increased our skills but also our confidence and motivation to keep growing and learning.
What's next for AR-portal-Ios-App
We Will Create an application in which we will integrate
Google Maps
with our Idea and whenever the user will search a location, they will be able to experience how it feels to be there! Not only that we will integrate the nearby hotels and stores along with the view of the location. And we will keep updating it further.
Built With
c
c++
html
objective-c
objective-c++
shell
Try it out
github.com
www.canva.com | DREAM PORTAL | where imagination meets reality. | ['bruce waybe', 'Maninder Singh', 'Ruhee Jain'] | ['Certified Dank'] | ['c', 'c++', 'html', 'objective-c', 'objective-c++', 'shell'] | 43 |
10,331 | https://devpost.com/software/covid-19-detection-using-deep-learning-ai | Thereafter images taken by astronauts will be analyzed by a CNN model to show us the impact created on the group by objects -lunar craters.
Inspiration.One of the things that should be done in this scenario is manual testing so that the true situation can be understood and right decision is taken and disadvantages of manual testing is costly less testing kits and other so using deep learning is better.
Due to the fact that the disease is highly contagious.Covid 19 analysis using deep learning includes
lungs xrays of patience , the basic ideas is to classify the affected as covid or normal
How I built it i used anacoda navigation to lauch jupyter notebook and import some libraries eg matplot keras ...
Challenges I ran into it was hard to install open cv in the anaconda framework
Accomplishments that I'm proud of the system is working
What I learned .perfecting python skills and machine learning
What's next for Covid 19 Detection using deep learning (Ai) . adding more dataset
Built With
ai
kera
machine-learning
python
pytorch
tensorflow | covid 19 with Ai | i think using Xray images to tell if somebody is positive or negative is comfortable | ['limo patrick'] | [] | ['ai', 'kera', 'machine-learning', 'python', 'pytorch', 'tensorflow'] | 44 |
10,331 | https://devpost.com/software/talent-ocean-vjmri5 | landing page part 1
landing page part 2
landing page part 3
login page
sign up page
new talent create profile page
talent view profile page
talent view leaderboard page
talent view offers
talent views pending offer details, Talent can respond to the offer (Accept/Decline)
recruiter search talents dashboard
recruiter searching for talent with React skill, based in lagos with 2 years experience
recruiter view top talent from search and makes him an offer
recruiter can manage their sent offers
recruiter can view sent offer detail
USSD Monitoring menu
Inspiration
We realized that recruiters spend a lot of valuable time to vet talents and ascertain their competencies. And that most talents are not sure what level they are skill-wise or the path to take to get to the next level. When do I know if I’m a mid-level developer? What steps can I take to level up?. We saw that talents do not earn up to their pairs with the same skill level in global markets. We saw talents do not grow their skills level actively.
What it does
We aim to eliminate the long recruitment process and cut down recruitment time by 1000%. We are providing a platform where recruiters have easy, fast and efficient access to the best talents ranked to meet their needs.
The platform works with talents to provide a system of ranking them based on talent details (including links to other sites related to talent's career e.g GitHub, dribble) provided and vetted through various means like talent to talent review, challenges to vet their skills, et.c.
How I built it
We decided to build our solution like a coin with two complementing sides. Talent Ocean is made up of talent and recruiter portals:-
Talent Portal - Talents signup and update their profile with all relevant details. Talents are encouraged to include necessary details like documents, links that will increase the points and boost their rankings. Talents can receive offers from recruiters.
Recruiter Portal - Recruiters signup and have access to vetted talents. Recruiters get fast access to the best talents that match their needs based on system rankings. Recruiters can make offers to talents.
Top Use Cases
A Recruiter can search and find the top ranking java developers in a location e.g Abuja with 2 years of working experience. And they get instant results of top vetted talents that match those criteria in seconds.
Talent can increase their income by building skills. This has an immediate effect with talent ocean as your ranking increases and you get more offers from recruiters.
Recruiters do not need to test or vet talents again, Talent ocean has done that already. This cuts down recruitment time by over 1000%.
Talents can check the leaderboard and know their rank among their pairs. This gives insights as to where they need to improve and increase their value.
The nature of talent ocean exploits competitive spirit among talents to grow the standard of the industry at large. This will make talent ocean an international fishing ground for top talents that recruiters need.
Side Attractions
We built a Monitoring USSD App for our server on
Linode Cloud Platform
. The service is accessible on USSD. We can manage our servers even without internet access, We can carry out basic DevOps through USSD like check Server Status, Restart, and Shutdown. Thanks to Linode for providing APIS to enable us to achieve this.
Challenges I ran into
Nnaemeka V. Eziamaka - Had some issues with the asynchronous nature of Nodejs while creating the USSD monitoring app. I had to change my thinking a bit. Once I got that sorted, everything else went smoothly.
Olabampe Olamigoke - It was hard sprinting to get a good functional MVP with little time. I am glad we made it and learned a lot from it.
Accomplishments that I'm proud of
Nnaemeka V. Eziamaka- I was proud of the fact that I could work together with my teammates to produce a solution that has a great chance of solving a major problem in the country and world at large. Also, the USSD app for server resources mini-management was interesting for me. I got to use cloud hosting (Linode) and it was thrilling to setup my Node server, firewall and web server(Nginx).
What I learned
We have learned teamwork, sprint development, problem-solving and the requirements of deploying a web application.
What's next for Talent Ocean
Talent Ocean is planning on intensive development to create a standard product then going live. During this period, We will seek out ways to raise funds to jump-start a product that holds the capability of growing organically without funding.
Built With
css
html
html5
javascript
mysql
php
Try it out
talentocean.xyz
github.com | Talent Ocean | Efficiently Hire Vetted Talents | ['Nnaemeka Eziamaka', 'Olamigoke Olabampe'] | [] | ['css', 'html', 'html5', 'javascript', 'mysql', 'php'] | 45 |
10,334 | https://devpost.com/software/medical-intelligence-applied-miia | Chatbot
Login
Facial recognition
Health check up
Patient home
Patient profile
Caregiver onboarding
Inspiration
In Canada, 17.2% of the country's population were aged 65 and older, and this number is only set to increase in the next few decades. Individuals over the age of 65 have a higher risk of developing medical conditions such as coronary artery disease, arthritis, diabetes, obesity, and neurological diseases. 85% of the aged Canadian population suffers from at least one chronic condition. Seniors suffering from chronic diseases require regular health check-ups every 3-4 months for proper management of medications, vital signs, and lab values. These conditions impact the quality of life and ability for seniors to perform in everyday activities, thus increasing the need for caregivers to assist with daily routines on top of managing complex medical conditions. Furthermore, evidence suggests that caregivers enter their roles with little support and therefore carry high rates of mental and emotional health problems as a result.
With the onset of COVID-19, the elderly's ability to access usual medical care and emotional support has drastically decreased, and the communication with caregivers and family is impaired. Seniors are advised to stay at home and may feel isolated from their family and friends, leading to struggles with mental health on top of existing feelings of hopelessness and possible grief from the loss of loved ones. Moreover, as a result of impaired health care, the elderly are also more susceptible to exacerbating chronic conditions that raise concerns for future life-threatening complications from the coronavirus. Caregivers too may experience increased stress due to barriers in remote support for the care recipients health and daily needs.
These problems all point to the need for a solution in developing communication channels between elderly and caregivers for health management, while making remote support and health care accessible. Mobile health (mHealth) interventions using smartphones have proven effective for monitoring mood and health symptoms, while also providing a platform for communication and support for mental health concerns. However, these applications are not always accessible for the elderly population. Finger sensitivity and mobility can be an obstacle for the elderly as it impairs their ability to interact with apps. Features such as larger font size, high contrast, and text to speech functionality are often neglected due to the lieu of modern design trends intended to appeal to younger audiences.
Therefore, we designed our app, miia (Medical Intelligently Applied) to be accessible and usable by most seniors, while providing a platform to aid in remote caregiving. Miia is an application that will help track and manage both physical and mental health conditions for the elderly population. For instance, we implemented a Chatbot function to ask seniors about mood and emotions, while also providing a means to input health measurements such as vital signs. The chatbot can be made to speak aloud, while the senior can utilize their voice which is then converted to text. Furthermore, our app has an additional function to track mobility and activity functions of our users through drawing data from the built-in accelerometer, gyroscope, and other smartphone sensors. This will help us predict activity, encourage exercise, and potentially prevent frailty and traumatic falls with seniors.
What it does
The system leverages AI technology to analyze data collected from facial recognition, speech recognition, wearable devices and IoT on a daily basis, and alert the caregivers if there are any identified risks. The platform also provides a way to facilitate communication between caregivers and care recipients, while aiding with health management to alleviate caregiver stress.
Our current figma prototype serves as a better representation of the app's final functionality and design. In contrast to the web application the prototype is developed for mobile devices to better serve the elderly through prioritizing convenience and mobility. The prototype itself is fully interactive as users have the ability to click, scroll and drag through both caregiver and patient interfaces.
App Guide
Caregiver
Signs up in the app and makes a profile for both themselves and their care recipient.
After choosing the caregiver option, they will set up an account with their email and phone number, and set a password.
Then, the caregiver will add the patient’s name and phone number.
They can then add the pre-existing medical conditions of their care recipient. In this case, the preset conditions are common chronic diseases but there is also the option to add more conditions and background information.
The caregiver can choose important metrics to monitor for certain chronic conditions, such as blood sugar level for diabetes, or mood for depression.
After adding the background information for the patient, a unique pin will be generated for connecting the caregiver with the care recipient.
A confirmation screen will also show the patient’s conditions and metrics to follow.
If there are multiple care recipients, the caregiver can add another patient.
On a daily basis, caregivers log in and monitor health of care recipients, the most important metric on display. The red notification symbol indicates a warning that requires caregivers to follow up on a metric.
In the patient profile, the caregiver can change or add more metrics to monitor, chat with the patients, or edit the patient profiles.
Elderly/ Care Recipient
Care recipient received a text message from the caregiver with his/ her unique pin. If a senior is unfamiliar with technology, the caregiver can help him/ her to set up the app.
Choose to sign up as a patient, and enter the pin received.
Our chatbot, guide seniors through the whole health checkup process on a daily basis
The patient can choose to text or speak to the chatbot.
Miia will proceed to initiate the process of health check by taking their facial image
Miia will first ask a few questions regarding their physical and mental health, such as body temperature, blood pressure, or mood and the senior can input manually or tell miia their measurements. For voice inputs, Miia will repeat the measurement to verify.
Depending on the needs of the senior and caregiver, the chatbot can also ask about other metrics, give reminders, or chat with the senior.
After health check, users will be redirected to a health overview which summarizes results for the senior.
Key metrics of seniors are shown in measurements. If the user is interested in knowing more of a particular metric, they can click the metric and look into the details.
If seniors have any concerns, they can contact their caregivers using the in-app chat function.
If desired, they can also choose to add or remove wearable devices and sensors.
Lastly, they can check their profile, which shows personal information, settings and caregiver information.
How we built it
Software
• Frontend development using Flutter
• Backend development using FireBase
• Chatbot using Dialogflow
• Hosting and CICD setups using Netlify and Heroku and GitHub.
• SQL DB connected to the app with Restful API
• Google Colab notebooks to execute heavy GPU workloads and ML Algorithms
• Invision for developing WireFrames
• Figma for creating the prototype
Machine learning
We collected datasets from various sources such as Kaggle, JAFFE, and IMFDB and trained the machine learning model for a couple of tasks: the identification of emotions from facial expressions, identification of BMI from face images, identification of emotions from speech, and detection of falls from phone sensors. Determination of cardiovascular disease risk is also achieved by reviewing cohort studies and results in medical journals. After training the model, we deployed a demo of the emotion prediction model, BMI prediction model, and cardiovascular disease risk using Heroku service.
Challenges we ran into
It is difficult to find quality labelled data for training machine learning models, which in turn affects the accuracy rate. Given that this is a remote hackathon, we were also unable to test connection with wearables. While there is flexibility to use the app without external sensors, we plan to integrate with multiple wearable devices and platforms in the future.
Accomplishments that we are proud of
We have completed the whole UI design, developed a fully functional chatbot, trained machine learning models for emotions/ BMI prediction using facial images, and the backend & frontend development of the main features of the app.
What's next for medical intelligence applied (miia)
App Development
Health data collection via speech recognition and wearables
Data analytics dashboard
In-app chat
Wearables
Water-proof watch for seniors
Water-proof necklace for seniors
Recruitment
We are planning to bring the project to the next stage. Shoot us a message if you're interested!
Built With
dialogflow
firebase
flutter
google-cloud
python
Try it out
github.com
github.com
bot.dialogflow.com
miia.webflow.io
emotionpredict.herokuapp.com
drive.google.com
www.figma.com | medical intelligence applied (miia) | Digital health solution for seniors suffering from chronic illnesses and their caregivers | ['Ava Chan', 'Rohan Pal', 'Andrew Chan', 'Kishoraditya Chaudhari', 'Duncan chiu'] | ['WINNER', 'Best Health Project', 'Best Mobile App', 'Champion', 'Best Impact'] | ['dialogflow', 'firebase', 'flutter', 'google-cloud', 'python'] | 0 |
10,334 | https://devpost.com/software/tracing | Inspiration
We were inspired by the situation that the world is currently in. With a lot of people worldwide feeling uncertain about traveling to places while others are not taking the virus seriously enough, we created this app in order to provide quantitative data for everyone interested in staying safe.
What it does
CoVision is a contact tracing app that helps keep users safe by giving them access to a live map that displays the risk level of contracting Coronavirus at specific locations. A lot of people are concerned with providing location data to third parties, which is why we made privacy our top priority for CoVision. We have designed the app to only track locations after the user has moved a certain distance (50 meters), which means that when a person is at their house, their location data and address will not be registered on our database on Firestore. Our app is focused on providing accurate information for users to be able to see primary points of interest with high amounts of traffic or locations with people who have tested positive for coronavirus. We prompt users to report their testing by asking them when they have gotten tested, while also offering people who have not been tested to find nearby locations for testing.
We allow people to consciously be proactive against Covid-19, instead of leaving them guessing about the safety of going to a certain location, in real-time, instead of ineffectively alerting them weeks after potential contact with someone who has contracted the virus, meaning CoVision increases efficiency significantly.
How we built it
We split up the work between the four of us by front-end and back-end work. Two of us worked on designing the User Interface and User Experience, which was created using Storyboard/UIKit in Xcode. The other two of us used Google Cloud’s Firebase and Firestore for data management for both user data as well as location-specific data. We used Firestore to store how many people have gone to each store, how many infected people have visited, their safety rating, as well as their coordinates. We used Radar.io, a business aiming to provide location data infrastructure, and their APIs in order to search stores specifically by retail stores and restaurants (though this is highly extensible to any other category). We utilized Swift in order to write the functions and algorithms and connected it to our database.
Challenges we ran into
In order to develop CoVision, it took a lot of research on behalf of the entire team into all of the different functionalities we can use with the Radar API. We had to learn about how we could connect that to the UI while also making sure that the data was being passed to a database. Since there is a lot of information that was coming in from Radar, we had to learn a lot about Google Cloud and Firestore and do a lot of debugging in order to work through all of the problems along the way. We learned about real-time database management with Firestore because of the multitude of moving parts present, which is a new challenge that we had to overcome because of the novelty of CoVision itself.
Accomplishments that we're proud of
We were able to utilize tools that we knew about in order to create a socially applicable project that has a vast range of applications not only in our country but worldwide. We are proud of creating a more accurate contact tracing application than the current options available.
What we learned
We learned a lot about how to utilize location data as well as how to protect people’s privacy, which is an extremely large concern that has been a pressing issue for a long time. By not tracking people’s location at their homes and only starting to track after they have moved a reasonable distance. We also learned about how to use Swift and UIKit and MapKit in order to utilize Apple Maps to display the data.
What's next for CoVision
Although right now for the purposes of the demo CoVision only displays data for local stores and restaurants, we plan to extend the app to include parks, landmarks, offices, and all other points of interests. With a larger user base we would be able to gather data on many more locations, thereby furthering the utility of our app as well as increasing the number of users we can benefit. Additionally, we plan to implement hospital integration. By utilizing the APIs of large hospitals, we can also have users connect their CoVision account with their hospital account in order to share information about users’ Coronavirus test results as well as test dates. Connected users will have their “My Condition” page automatically updated with the information. These features would be especially critical during the upcoming elections as voting booths will become high traffic areas that would benefit from coverage from our app. We also hope to implement machine learning into our app in order to predict whether users have the virus based on models with data from past Covid-19 patients and their symptoms.
Built With
core-location
firebase
google-cloud
mapkit
radar.io
storyboard
swift
uikit
Try it out
github.com | CoVision | Accurate contact tracing to ensure public safety during the Covid-19 pandemic. | ['Siddharth Cherukupalli', 'Akshay Talkad', 'Kartik Punia', 'Prem Dhoot'] | ['Track: Biomedical', 'WINNER', 'Best Contact Tracing Project'] | ['core-location', 'firebase', 'google-cloud', 'mapkit', 'radar.io', 'storyboard', 'swift', 'uikit'] | 1 |
10,334 | https://devpost.com/software/instacook-el01gk | Inspiration
Daily, people have a hard time going outside, because of this pandemic. The situation is horrendous day by day. Some people have a hard time to buy food items due to the low stock at stores, limited store timings, and restrictions of going out. One day, I and my family almost ran out of food, especially vegetables. My mom had 2 vegetables and was lost on what dish to make with just 2 vegetables. It took a while to decide and we did not had many recipes to choose. Well, this inspired us to build an application which will suggest more recipe option with just 2 or 3 vegetables, which I thought it will be beneficial for people during this pandemic.
What InstaCook does?
Our project aims to find a combination of recipes based on the 3 vegetables the user enters, and henceforth does a web-wide recipe search and displays the URL choices, which are done using Python and its libraries. For example, if a user enters three vegetables: Tomato, Carrot, and beans, you will be given the URLs of the recipes of those vegetables.
How we built InstaCook?
Using Python and its libraries, I used GUI and Web Scraping. The GUI (Graphical User InterFace) is an important part of my project, providing ways for the user to input his/her vegetables and display the results - which is the URLs of the different recipes. I used Web Scraping, especially Beautiful Soup to retrieve the URLs.
Challenges we ran into
One challenge we faced were that Python libraries, especially web scraping modules, were compatible with the different MacOs versions, which took a while to get that working. Another challenge was comprehending the Web Scraping modules and its functions, and integrating to the main program of my program. Other minor challenges that we faced were predicaments related to python, IDE(Integrated Development Environment) and MacOS versions.
Accomplishments that we're proud of
We were glad of finding a software solution to a predicament most will face, during situations like this pandemic and other natural calamities. We would be more happy to see if this application aids more people to find a good recipe for them.
What we have learned?
We have learned a lot about Web Scraping. Additionally, we acknowledged more about Python and its integration with some of its modules/libraries.
What's next for InstaCook?
The future steps or further development is to provide more options of vegetables for the user to enter, ability to save the results in to database, retrieve the previous searched recipes, and provide more information along with URLs of recipes
Built With
beautiful-soup
html-parser
python
tkinter
webscraping
Try it out
github.com | InstaCook | During the pandemic, we have a lot of restrictions while going out. Our app gives you bunch of recipes with just three ingredients, it is helpful when you have a shortage of food, and can't go out. | ['Raghav Thiruvallur', 'Karthika Thiruvallur'] | ['WINNER', 'Best Cooking Project', 'Best Empowerment Project', 'Best Web Project'] | ['beautiful-soup', 'html-parser', 'python', 'tkinter', 'webscraping'] | 2 |
10,334 | https://devpost.com/software/ent-check | ENT
Built With
arduino
bootstrap
css
express.js
firebase
google-cloud
html
mongodb
node.js
Try it out
entcheck.tech
github.com
github.com | ENT Check | Check Ur Ear, nose and throat symptoms with this website | ['Aabhas Senapati', 'Vineet Ranjan'] | ['RUNNER-UP', 'Best Hardware Project'] | ['arduino', 'bootstrap', 'css', 'express.js', 'firebase', 'google-cloud', 'html', 'mongodb', 'node.js'] | 3 |
10,334 | https://devpost.com/software/anonspace | Team AnonSpace
Inspiration
People usually get bored when they go to a public place especially when they don't know anyone and are skeptical to make the first conversation, they might feel socially isolated.
We, ourselves have faced this issue often at airports, malls, and other such public places, thus we thought to hack this problem.
What it does
AnonSpace - The Anonymous Space
is an online proximity based anonymous group messaging app.
It is designed to generate connections for people who are on the go.
Anybody who has an active internet connection can create or join a room in the closest proximity and talk to people anonymously within a radius of 100 meters.
You can connect with people purely based on their personality and not have any prejudice and stereotypical mindset .
How we built it
This app is 100% written in
Kotlin
.
MVVM architecture
, used with
Android Architecture Components
and
Koin
for dependency injection.
The Backend is written in
NodeJS
using
MVC architecture
and leverages
Google Firebase Realtime Database
.
The Web Frontend is written in
ReactJS
which you can find over
here
.
Leveraging the
Google Nearby API
and
Location API
, we connected users with nearby AnonSpace users.
We have used the power of
Google Cloud Computing Engine
for filtering the abusive words as well as hosting the Backend.
Tech Stack
Challenges we ran into
The hurdles we faced was figuring out the logistics of:
how were we going to connect random anonymous people in one chatroom despite being on different networks
how to prevent inappropriate or abusive use of platform and ensure safety of users.
how to inculcate mathematics in our model and making it secure
Accomplishments that we're proud of
We were able to build a start-of-the-art technology in connecting random people in a chatroom even if they are connected to different networks (Thanks to NearbyAPI and Firebase)
We have successfully prevented any use of abusive languages by converting them into asterisks
Built an End-to-End Encryption System for users (here's the arithmetic from Hackrithmitic)
What we learned
In order to conserve power, we decided to design in Dark Mode.
We had to find colors and stick to certain frameworks rules that are necessary while designing a dark theme.
We learnt to use Google Cloud Real-time Firebase database
We learnt how simple math can be used to solve impactful problems with some innovation.(We have used ROT encryption here)
We also learnt how to implement various disciplines of google applications to build our product.
What's next for AnonSpace
We plan to make our App cross-platform.
We aim to introduce a more secure asymmetric cryptographic algorithm such as RSA.
We would also like to introduce Social Twists to make the experience more fun and engaging.
We would aim to abolish the social awkwardness that was created by the smartphones, by using smartphones.
Why
https://anonymou.space
?
We aim to create an anonymous space all over the internet where people can interact without the fear of being judged. Thus we introduce you to the mysterious space:
Anonymous Space -> AnonymousSpace -> AnonymouSpace -> Anonymou.space
Built With
android
dataset
figma
google-cloud-computing-engine
google-firebase-realtime-database
google-nearby-api
koin
kotlin
location-api
mvc-architecture
mvmm-architecture
node.js
react
Try it out
github.com
github.com
github.com
drive.google.com
anonymou.space
anonspace.netlify.app
www.figma.com | AnonSpace | AnonSpace - The Anonymous Space is an online proximity based anonymous group messaging app. It is designed to connect people who are on the go and within a radius of 100 meters, | ['Shubham Palriwala', 'Aarush Bhat', 'Malavika Rajesh', 'Hemanth Krishna'] | ['RUNNER-UP', 'Best Civic Project', 'Best Domain Name from Domain.com'] | ['android', 'dataset', 'figma', 'google-cloud-computing-engine', 'google-firebase-realtime-database', 'google-nearby-api', 'koin', 'kotlin', 'location-api', 'mvc-architecture', 'mvmm-architecture', 'node.js', 'react'] | 4 |
10,334 | https://devpost.com/software/i-sight | Inspiration
Looking at how people treat each other, let aside the ones who really need help, humanity feels nothing more of a global scarcity. With the progressing technology there should be applications which help the people who really are in need and it would be better for people to atleast have technology which they can trust rather than being at nature's mercy. So we thought of building an application which would act as an in-person navigator and along with navigation also give out every detail a visually impaired person needs to know about his/her surrounding, keeping them safe.
What it does
With our project I-Sight, we intend give these people with a disturbed vision a
trustworthy and reliable source to depend on when they walk out any place
which makes them feel endangered due to their disabilities. This application is in
itself a personal guide who’d rather hold one’s hand and walk them to wherever it
is they want to go. This application would act as one’s vision as well as a navigator
on the streets which would be far better than any human eyes could calculate or
predict. All this application requires is an android device with a camera.
Features:
COMPLETE NAVIGATION:
The user can use voice commands on the application and speak out the desired
location they want to reach, the application will then set a course from the users'
current location to the desired location and guide the user through the path
making use of various other features in the application.
OBJECT DETECTION/RECOGNITION:
While moving the user has to keep the phone in his hands with the camera facing
in front, this application is running on an DL model which will detect and
recognize all the objects, moving and at rest, in the line of sight of the camera and
inform the user of all the objects which are present on his/her path.
DISTANCE ESTIMATION:
This application will not only detect the objects in the vicinity but also estimate
the distance between them and the user and convert it into the number of steps
the user would require to get to any object present around the user.
INTERMODAL ROUTING:
Along with guiding the user through the pedestrian route our app also has a feature
of public transport guidance. If the path of the user is long the application automatically
guides the user to the nearest public transport waypoint to help the user reach their
destination, which also includes multiple changes in the transport journey if required.
Some of these public transport waypoints include city rail stations ,metro stations, bus stations etc.
TIME TO COLLISION ALERT:
This application also provides a feature of alerting the user in order to prevent
any sorts of accidents or mishaps on the path of the user. This feature calculates
the time and the distance between the user and any obstruction or vehicle in it’s
on going path and alerts the user accordingly.
How we built it
I-Sight is built using the power of Deep Learning models for object detection. It heavily relies on Tensorflow lite Mobile Net v1 model for fast, low latency and performant model and HERE SDK for the features of in-time navigation, Geolocation and the intermodal routing. For Voice Interaction it uses Android's Text To Speech API.
Challenges we ran into
The implementation of tensorflow lite model in android as well as the implementation of HERE SDK required a bit of research. The merged output of both technologies was specifically challenging to achieve.
Accomplishments that we're proud of
We are proud of being able to put together two such robust technologies in HERE SDK and Tensorflow and making them work together effortlessly. Along with that, we are also proud of providing our contribution to the society by helping visually disabled people to find there own way making them independent of others.
What I learned
We learned to implement light weight mobile nets and usage of tensorflow lite models. We also learned about the amazing HERE SDK which provides various robust features for geocoding, routing and LIVE Sense.
What's next for I-Sight
Another enhancement would be an addition of AI danger heuristic for safer travel.
Built With
android
here
mobilenet
tensorflow
Try it out
github.com | I-Sight | Making visually disabled people independent | ['Chinmoy Chakraborty', 'Vishwaas Saxena'] | ['RUNNER-UP', 'Best Seeing Eye Project'] | ['android', 'here', 'mobilenet', 'tensorflow'] | 5 |
10,334 | https://devpost.com/software/covid4kids-game | COVID4KIDS Start Page
Mini-Game: Essential Shopping
Mini-Game: Hand Washing!
Game Map
Informative Animation
Mini-Game: Catch the Mask
Inspiration
Due to the novel coronavirus, children all over the world were suddenly told to stay at home all day for months, resulting in frustration for being unable to hang out with friends all rooted in the fact that kids were confused about COVID19. As high schoolers, we can empathize with these kids for not wanting to obey parents. In the 21st century, social media and news sites are go-to resources to learn about world issues however kids hate reading the news let alone understand it due to the sophisticated language and the complexity of some of the issues, but they LOVE playing games! Thus, we created COVID4KIDS to help.
What it does
COVID4KIDS is a highly-interactive web-based game that features 4 super fun mini-games to teach people, especially children, about important information on how to act during the coronavirus pandemic. The first mini-game, Hand Washing!, teaches people the steps on how to wash their hands properly in a fun way. The second mini-game, Catch the Mask, shows how masks are important and how to wear them. The third mini-game, Essential Shopping, demonstrates the crucial need for social distancing. The last mini-game, Symptoms, teaches how to identify the right symptoms of coronavirus. There are also short animations to educate about how the coronavirus started and how it spreads.
How we built it
We relied on the block-based coding software Scratch to program each mini-game and animation, and then used Google Slides to connect everything.
Challenges we ran into
It was a bit difficult because we did not have a lot of experience with game programming, but the result was very functional and entertaining. Another problem was keeping the same graphics and game style in all four mini-games as we are a team each working on different mini-games.
What's next for COVID4KIDS Game
Currently our game is web-based and uses Scratch and Google Slides, so the next implementation would be improving the game by using a real game software to make an app that could be downloaded off the app store in order to provide a more user friendly experience on all platforms to our users. Through the app process we would continue to integrate new features and mini-games that further elevate the game experience for the children.
Built With
google
scratch
slides
weebly
Try it out
www.covid4kidsgame.weebly.com | COVID4KIDS Game | Kids confused about coronavirus can learn how to act during the pandemic through the fun games they love! | ['Taliyah Huang', 'Kasvi Singh'] | ['Honorable Mention', 'Best Entertainment Project', 'Best Game'] | ['google', 'scratch', 'slides', 'weebly'] | 6 |
10,334 | https://devpost.com/software/contactme-afrs1m | Logo of this project
Our main motivation for building the application.
Workflow Of Our Application
Google cloud's Firebase Database
Screeshot's of Application-1
Screenshot's of Application-2
Screenshot's of Application-3
Inspiration
So the main reason behind building this application was that It’s a very very disturbing fact that nearly 6 million trees are cut every year to make 100 billion business cards worldwide. We thought about this and came to the conclusion that is it really necessary to waste so many resources and harm mother nature and as a result, we came up with a solution because of which neither mother nature will be harmed nor there will be any loss of opportunity for a person and hence we came with a brilliant idea.
What it does
Our application what it does basically is that digitalizes the whole process of sharing business card details helping save trees and mother nature and even reducing chances of physical contact with people so I will be providing a rough idea of how our application works:-
You open the application go through the login/ registration process once as you do not have to do it again.
Now you go to the dashboard where you will be able to witness six features Add Card, Card Wallet, My Card, Profile, Requests, Settings.
If a person wants your business card details you click on my card it will show your unique QR code.
Now the other person scan's it and you will get a request from him.
You can either accept or decline his request if you accept his request the other person will be able to see your details otherwise he/she will not be able to see your details.
In another scenario if you reject his request then that request will get deleted from the database.
How I built it
The first most important this we did was brainstorming the idea.
Next as we came to know that due to business cards there is so much waste of resource happening we thought to develop an application solution to this.
Next we noted all the tasks that were required to be done.
We distributed the tasks to be completed among ourselves.
Our efforts aligned and we were able to build this application.
Accomplishments that I'm proud of
So as of now, we are newbies to the world of hackathons and we hope to explore this fantastic arena more. First of all, we are Thankful to Hack the U,(it’s sponsors) and MLH for letting us participate in this hackathon. More than anything we enjoyed building the application in the given time frame and even more happy that we were able to think of a solution to the problem to solace our community, On top of all this we are absolutely certain that the bonding of our team members has increased to a next level. And now We are looking forward to participating in more hackathons, And solve more such problems and make this world a better place!
What's next for ContactME
According to us this is a nice concept and if implemented by people then we can save mother nature from the harmful impact that using business cards is causing.
We will try approaching small scale businessmen and tell them about our application and make sure that they use it because the more no of people start using this the lesser destruction will be caused to our planet and as a result, we will be able to move in the direction of sustainable development.
As of now it's only for android users we will try to make this in flutter so that it can be even used by ios users and the wider the reach lower will be the destruction of resources.
Built With
android
android-studio
firebase
google-cloud
java
Try it out
github.com | ContactME | "An application that will never let an opportunity pass away" | ['Giwansh Aryan', 'Sanjay Thiyagarajan', 'Rishab Mudliar', 'Navneet singh'] | ['Honorable Mention'] | ['android', 'android-studio', 'firebase', 'google-cloud', 'java'] | 7 |
10,334 | https://devpost.com/software/dyscalculia | Inspiration
Many people have heard of dyslexia but not a similar learning disorder dyscalculia. We wanted to shine some light on that as well. It affects a percentage of the world and many struggle with it without knowing.
People with dyscalculia have trouble with math at many levels. They often struggle with key concepts like bigger vs. smaller. And they can have a hard time doing basic math problems and more abstract math.
So we think why not we go for its diagnosis by creating a software which helps to identify and overcome the disability.
What it does
It gives resources to those with dyscalculia and also games to help improve their skills. It gives good information and also links to websites with more information.
How I built it
We do lot's of research related to this problem of learning arithmetic calculation which is serious issue. We built our web app using HTML, CSS, Bootstrap, JavaScript, and do lots of research.
Challenges I ran into
First challenge is Time zone of teammates and next is some people leave the project in between which affects our idea implementation.
Accomplishments that I'm proud of
Finishing the project and being able to make something that gives to the community and helps a learning disability.
What I learned
First we learn about Dyscalculia that what actually is ? then we go for the diagnosis part that how someone Identify that he or she is suffer from it or not and then We go for solution that how we overcome this.
What's next for Dyscalculia
Growing our resources and helping connect those who have dyscalculia to our website and provide some fun related learning which helps them to learn the mathematics and overcome this disease of "Dyscalculia".
Built With
bootstrap
calculator
css3
html5
images
javascript
jquery
scss
Try it out
dyscalculia.hariom04.repl.co
github.com | Dyscalculia | If you struggle with Dyscalculia you're not alone. We provide some diagnosis which help you to identify you have Dyscalculia or not. | ['Caine Ardayfio', 'HariOm Dwivedi', 'Savannah Hirschi', 'HARSH TIWARI'] | ['Honorable Mention', 'Best STEM Project', 'Best Use of Wolfram'] | ['bootstrap', 'calculator', 'css3', 'html5', 'images', 'javascript', 'jquery', 'scss'] | 8 |
10,334 | https://devpost.com/software/eas-e-empowering-academic-success-everywhere | Inspiration
the most recent National Center for Education Statistics data reports that out of approximately 19.9 million total college and university students in America, almost 6.9 million of them, close to 35%, are enrolled in some form of distance education for 2019.
Undergraduate participation in distance education has grown to 34.5% as of 2018.
The rapid increase in online learning is confirmed when one considers the fact that between 2003-2004 only 16% of undergraduates had any participation in distance education.
Graduate school has the highest rate of participation in online studies. For the 2018 academic year, a full 39.8% of graduate students were enrolled in some form of distance learning.
73% of students in 2018 studying through private, for-profit institutions enrolled in distance education,
34.1% of students at public institutions the same year took online courses, and
30.4% of students at private non-profit schools enrolled in distance education.
On top of this, I being high schoolers who have the high school burden online, we have sensed the struggle not only for ourselves but for those of other peers who often come to us for help. As a result, this inspired us to create this project.
What it does
For the react native app, it connects with the Website Neeral made in order to create a comprehensive solution to this problem.
There are five main sections in the react native app:
The first section is an area where tutors can make posts for any students to require help to respond to. As a tutor I fill in several fields such as the subjects I wish to tutor, my phone number, email address, name and description and I am able to post a post. Additionally, if I choose to tutor as a volunteer I can enter Free in the costs column as well.
The second section is a help section where students having problems with certain questions can enter them or information they wish to retrieve using Wolfram Simple API. I am able to go to that page and for example enter “Who was George Washington” and a detailed answer and facts in relation to him comes up.
The third section is the courses tabs which users can use in order to find courses to either learn more or seek help via a course in order to learn more or develop that skill further. Here there are a few find pre-selected courses such as Computer Science, Data Science, Calculus 1 for options but instead I will use the custom query input where I can input a course that I might want to find and a list of courses come out of the output using ClassPert Course Search API
The fourth section is a template web app that has been embedding into the react native application, allowing us to create custom community forum page for our app effortlessly. This was created using tribe.so, which created a subdomain link which we then integrated into our app.
The fifth section is a build your own resume section. Users will answer some questions and the program will write a professionally written resume. In the future, I would like to use sentimental analysis to make sure that the tone is as accurate as can be. Each resume comes with 5 sections such as awards, experience, interests, etc. We know writing the perfect resume is tough and must be better than ever due to how many jobs have been displaced due to the pandemic; hence we chose to make the resume builder.
In the future we would also want to make an online notetaker system that tracks what the teacher is saying and writes it down in google docs this way students can refer to what the teacher said. We would also like to use tensorflow to summarize this.
How I built it
For the react native part of the application, I will break it down section by section.
For the first section, I simply used Firebase as a backend which allowed a simple, easy and fast way of retrieving and pushing data to the cloud storage. This allowed me to spend time on other features, and due to my ever growing experience with firebase, this did not take too much time. I simply added a form which pushed data to firebase and when you go to the home page it refreshes and see that the cloud was updated in real time
For the second section, I used native base in order to create my UI and used Wolfram Alpha simple api, which takes in the query and then outputs an image with the results. This way the information given is maximized. The UI is again created by me where the icons are from vector-icons this time around.
For the third section, I used classpert, course search api in order to create a query system to output results of courses that are found most appealing to the user. For the user interface, I created the designs myself and I use Material-Paper library to retrieve the icons which are being used throughout the app.
For the fourth section, I used tribe.so in order to create a template forum which I then integrated into the react native app.
For the fifth section, we made a resume builder page that asks the users for answers to certain questions, then prints out a nice formatted resume.
For the 6th section, we made a comments form that users were allowed to write feedback and comments on. They would then be analyzed by our sentimental analysis model, and the feedback would be given to the user along with how strong the words used were.
I used html and css and boostrap for the webpages. We then used flask to connect it all together and pass the inputs from the forms to the resumes. We used javascript for the comment section forms and the resume builder form, and along with this we used python to make our sentimental analysis model. We used an inbuilt dataset which contained numerous reviews.
Challenges I ran into
API query bugs was a big issue in formatting back the query and how to map the data back into the UI. It took some time and made us run until the end but we were still able to complete our project and goals.
What's next for EAS-E
In the future we would also want to make an online notetaker system that tracks what the teacher is saying and writes it down in google docs this way students can refer to what the teacher said. We would also like to use tensorflow to summarize this.
Built With
expo.io
firebase
flask
google-cloud
native-base
python
react-native
Try it out
github.com | EAS-E (Empowering Academic Success Everywhere) | A Mobile Application helping Empower Academic Success Everywhere | ['Om Joshi', 'Neeral Bhalgat'] | ["People's Choice", 'Honorable Mention', 'Best Academic Project'] | ['expo.io', 'firebase', 'flask', 'google-cloud', 'native-base', 'python', 'react-native'] | 9 |
10,334 | https://devpost.com/software/beeyond | Logo
Inspiration
COVID has made it difficult for small businesses and self-employed people to thrive and expand their audiences, and our teammates have practically seen this, seeing local businesses shut down and self-employed people become troubled on how secure their source of income is. We decided to target such businesspeople and create a platform specific to them. Small businesses or self-employed people often struggle with effective advertising in the face of larger competitors with more money, time, and resources. Our platform provides
free marketing
by focusing on
connecting
local businesses and self-employed people to consumers all with a simple search, even in the midst of COVID.
What it does
With this in mind, we created Beeyond, a website that connects
small businesses
and
self-employed people
to consumers through search. Unlike other social medias and similar sites, we really focus on the “small”, providing free advertising for sellers who may not have the time or budget to effectively do it themselves in a competitive way. Beeyond also helps consumers more easily find and support local businesspeople. Beeyond provides free marketing to businesses and helps consumers find local people who can help with their needs, even in the midst of COVID.
How I built it
We used
React.js
for the UI,
Node.js
for the server,
IBM Countant database
and
IBM Watson Assistant
for the chat bot.
Challenges I ran into
We used technologies that some of us never used, so we had to navigate and learn them
Accomplishments that I'm proud of
We built a really nice looking site searching a really great and critical purpose all from scratch!
What I learned
We learned about frontend development
What's next for Beeyond
We plan on fixing bugs and getting the platform up to the public. Also we have the ability for businesses to contact other businesses through email but we would like to further this interaction by creating a separate page just for business owners where they can chat and find projects to do with other creators. For that we may want to design a login page where users and businesses can create accounts. We also wish to create a way to filter out businesses that are large that may have signed up, or businesses that became large and give less priority to them while maintaining credibility based on customer reviews.
Built With
css3
html5
ibm
ibm-cloudant-database
ibm-watson
node.js
react.js
semantic-ui
Try it out
github.com | Beeyond | You can't buy happiness. But you can buy local. | ['Abi Patchaiyappan', 'Jenny Zhao', 'Grace Kejie Zhou', 'Mythili Karra'] | ['Honorable Mention', 'Best Business Project', 'Best Local Community Project'] | ['css3', 'html5', 'ibm', 'ibm-cloudant-database', 'ibm-watson', 'node.js', 'react.js', 'semantic-ui'] | 10 |
10,334 | https://devpost.com/software/covid-community-connections | Home page with menu bar open.
Experiences page where you can view people's stories of dealing with COVID-19.
A sample experience.
The form where people can submit their experiences.
The Statistics page that includes graphs that illustrate the data collected by the forms.
Another type of graph on the Statistics page.
A clickable map showing up to date data on COVID-19 for each country.
Inspiration
When the world shut down in March 2020 due to the COVID-19 pandemic, no one had any answers for what lay ahead. Exacerbated social and economic problems only amplified the calls for help. From historic unemployment, to a greater reliance on food banks, to an increase in divorces, the coronavirus has taught us to lean on each other a little more at a distance and to be wary of fake news. With community spirit and a need for trustworthy news sources in mind, we decided to create a website from scratch addressing these two central issues.
While the world is on pause, so many of us are hopelessly scrolling through our news feeds from home. People are frantically trying to decipher what is true and what is false in these times of uncertainty. As a new pandemic, there are many blanks in our understanding of the virus leading to misconceptions and fear.
It can be lonely for those affected who are quarantining alone or who don’t know anyone else going through what they are. Our professionals don’t know everything about the coronavirus yet, so having people telling their stories can help others. In order to help our community, we want to provide a safe space where people who have been affected by COVID can share their experiences, connect, give tips and positive words. People’s inputs will then be translated into our statistics page to show the percentage of people that have had each symptom shown below.
The internet is filled with false information. We are here to demystify them to educate people and spread safety.
What it does
COVID Community Connections is a website that allows people to connect around the world by sharing their experiences with COVID-19. On the website, you can view other’s stories and read how their lives were impacted by the pandemic. You can also share your own story by filling out the form on the website.
COVID Community Connections is both a tool for connecting and a tool for educating. Aside from the Experiences feature, the data collected from the forms is also compiled into graphs on the Statistics page. This allows for people to see and interpret crowdsourced information about COVID-19 and its most common symptoms. Additionally, on the Information page, there is a clickable world map that displays up-to-date data relating to COVID-19 cases for every country. On this page, there is also a Fact Checker section that displays common misconceptions about the pandemic and offers credible sources and articles to educate people on the realities of COVID-19.
How we built it
The website was built with HTML, CSS, and JavaScript and most of the development was done on Glitch. We also made use of Google’s Firebase RealTime Database and an API for COVID-19 data. The p5.js library was also used to create the animations of the loading screen, which were recorded and put into a GIF and of the home page and headers, which are live and randomized sketches. Other tools and programs used include Photoshop and GitHub.
After deciding on an idea, we divided our tasks and spent the first day trying to complete as much as possible. By the end of the day, most of the UI was done, the database was created, and the graphs were added to the page. The second day was dedicated to connecting the database to the forms and graphs and fixing any bugs that came up. Also, this was when the UI was cleaned up and styling for the mobile website was made.
Challenges we ran into
Most of the challenges we ran into were related to using the database since we are fairly new to it. One of our bugs would be that the graphs on Statistics and the experiences on Experiences would only load and show after the page was refreshed for a second time. After reading through the code, we realized that the functions calling for the drawing of the graphs or showing of the experiences were being called before the appropriate data was being retrieved from the database. To fix this, we called these functions after getting what we needed from the database. Another problem we ran into was updating statistics information when a form was filled out because we were having difficulty with finding the right branches and using parse to be able to use the data how we wanted it to be used.
Accomplishments that we're proud of
We’re proud of the product of this weekend because it is the culmination all of the hard work, dedication and skills we’ve learned. To see it pay off as a tangible and deliverable project feels amazing, especially considering that we were able to complete it in one weekend. In particular, most of us have never worked with an api before and are pleased to have been able to integrate it smoothly into our interface.
What we learned
We learned a lot, not only about how to make a website and the many, many things required to build one, but also about how to work together as a team (especially during the hard times) and create something bigger than ourselves. Through every glitch and setback, we used our skills and each other to come out the other side.
On the technical side, we were excited to further our knowledge of Google Firebase as we have worked with it once before. We also got more comfortable with designing UIs and optimizing our code so that we can quickly adapt it should any change arise.
What's next for COVID Community Connections
Future plans for the website include adding a discussion forum where people can have conversations in real time and be able to reply to people’s Experiences. We would also like to add other language options to make Covid Community Connections more accessible.
Built With
apis
css
firebase
html
javascript
p5.js
Try it out
covidcommunityconnections.github.io
github.com | COVID Community Connections | Connect with people around the globe to share your experiences with COVID-19 | ['Janvi Patel', 'Camilla Sophie Djamalov', 'Laurel Xiang'] | ["People's Choice", 'Honorable Mention', 'Re-Flatten the Curve'] | ['apis', 'css', 'firebase', 'html', 'javascript', 'p5.js'] | 11 |
10,334 | https://devpost.com/software/equalize | The home screen for equalize
The submit page that leads you to the wage report or incident report forms
One of the graphs on the Statistics pag
A collection of reports submitted to the website
Inspiration
We were inspired by the Black Lives Matter movement and the ongoing fight for equality. One part of this is advocating for pay equity — it is not uncommon for people belonging to visible minorities to be paid less than their colleagues even if equal work was done. We also took inspiration from raheem.ai, a site where people can report on, and share their experiences with, police conduct for our Incidents section. Having platforms like these, where people can share their own stories is immensely impactful and emphasizes the human element of the problems at hand.
What it does
With equalize, you can view statistics relating to the wage gap between people of different races, genders, ages, and areas of work. All of these statistics come from our database that you can contribute to by filling out a wage form. You can also read other people’s experiences with workplace discrimination in the Incidents page and submit your own account by filling out an incident report form. These features are all meant to highlight workplace discrimination and how much a person’s identity currently affects this.
Our goal with equalize is to educate people and make them aware of workplace discrimination. When more people recognize and understand why the wage gap and other forms of workplace discrimination exists, the support for pay equity will be so much stronger.
How we built it
We built the website using HTML, CSS, and JavaScript on the Glitch platform to allow for easy web editing. After finalizing our idea, we split up the work and either started working on the front-end or on creating and using the Firebase Realtime Database. We eventually joint forces to be able to take information from the database, manipulate it and display it on the website.
Challenges we ran into
We ran into some challenges when it came to using the database since none of us have past experience with this. Our issue was that our code was not retrieving information from the database properly due to oversights in branching. Once we watched a bunch of tutorials, we realized where our mistake was and fixed it. We also ran into some trouble while trying to show a non-randomized key to save incident reports to but we were able to fix that as well after researching.
Accomplishments that we're proud of
We are proud that we were able to create a product that can help educate and provide information about racial inequalities and pay equity. This hackathon has shown us that we can make a difference using the tech tools at our fingertips. We are also proud of how much we learnt since we started into this project with not a lot of prior knowledge on back-end development.
What we learned
Our biggest learning curve was using the database. There were many times during the development of the website where we had to put our collective brains together to figure out what was going wrong with the database. Nevertheless, we always found a solution to the errors so we are very proud of what we learnt.
We also learnt so much more about the injustices that Black communities, and other minority groups, face in their daily lives. All of this research just made us more invested into our project and in the fight for pay equity.
What's next for equalize
We would like the continue working on this project since we believe that this can be a useful tool for people to start understanding the problem with workplace discrimination. One of the first features we would like to implement is a discussion feature, where people can interact and share their stories. This kind of open dialogue between people is so important since it helps in the understanding of other people’s lived experiences. We would also like to expand our language and currency options to create a more accessible and global website.
Built With
css
firebase
html
javascript
Try it out
equalize2020.github.io
github.com | equalize | equalize provides a public database of reports and statistics to shine a light on workplace discrimination. | ['Janvi Patel', 'Camilla Sophie Djamalov', 'Laurel Xiang'] | ["People's Favorite", 'Best Analytics Project'] | ['css', 'firebase', 'html', 'javascript'] | 12 |
10,334 | https://devpost.com/software/envyard2-0 | Hardware-Mockup
CropHealthPrediction
Production Charts
Revenue Charts
Services Available
Inspiration
Only last year over 3 Mha were lost in Asia due to deforestation for agricultural purposes. In Africa is even more sensitive because many endangered species of animals lost their habitats and have to be put in shelters. But the problem is that the population need a source of food and it seems like a big compromise regarding environmental ethics.
Some papers were published which describe the way multilevel greenhouses would work. They would save a lot of space and help with the plantation separation. There are some plantations of this kind in Asia, but they don't meet the expectation regarding production. A way in which the production needs might be meet would be to create a sustainable, autonomous system to maintain the plants from the greenhouse. It is more efficient than human work.
What it does
The project is in the idea state, by presenting a simulation and an administration platform in order to perform supervision of the plantations the farmers own.
The EnyYard is a simulation of a system which provides the services for optimal plantation maintenance. The greenhouse would have the following features:
Solar Cells to provide power for the system. There is a panel to provide the power level. In the simulation we found out that the construction provides enough power during the day. In order to provide enough energy for the system, we considered introducing hydropower.
IoT devices for maintenance of the plantations: sprinklers, servo, humidifiers, etc. 3.
Cameras to inspect the fields in real-time, using an Vision API in order to detect the health of the plants and for the AR view.
We also provide a platform for statistics and predictions for the farmers to see their plantations' status.
How we built it
For the hardware mock-up we used Packet Tracer with the IoT Suite which it provides. We managed to add conditions for maintenance, which are checked in real-time. The hosting is on a public VM from Azure.
The dashboard is created in Power BI. Unfortunately, it is available only on Desktop, because the university account we used doesn't allow web public deployment. The dashboard is connected to an SQL Database from Azure.
The Vision AI and predictions services are available to be loaded on the IoT devices, like
https://azure.github.io/Vision-AI-DevKit-Pages/
, and are uploaded in the repo.
Challenges we ran into
First of all, the fact that we couldn't deploy the dashboard on web was a bummer. Second of all, the simulator from Packet Tracer was limited regarding the number of devices connected in order to not overload the network (the Packet Tracer simulator is more visual and that was the reason why we choose it).
Accomplishments that we're proud of
The fact that we accomplished to create a functional hardware mock-up is a good thing, because we tried to highlight the idea more than the service and the performance part. Also, we think we will use Power BI in the future for the MVP.
What we learned
We learned how to work with the Azure portal better than before: VM networking, Visual Development Kit fit IoT and Power BI. Also, we took a next step in learning about Packet Tracer and how the simulators work.
What's next for EnvYard2.0
The previous iteration the former team accomplished to create the AR view for the greenhouse, available here
https://devpost.com/software/envyard
.
This second project confirmed what services and technologies to use in order to continue the project.
In the following months, we intent to build a prototype of the greenhouse and present it to other event. If it proves to be a good invention (which we personally hope it is), we would apply for grants in order to build a full size greenhouse to grow a vineyard plantation in our home country. In time, we hope to extend to other plantation kinds and to implement the system in the places where are needed (Africa especially).
Built With
azure
azure-iot-suite
javascript
packet-tracer
powerbi
Try it out
github.com | EnvYard2.0 | Hardware simulation of a self-sustaining greenhouse. | ['Alexandra Chirita', 'Bianca Ciutacu', 'Iulia Tomoescu'] | ["People's Choice", 'Best IoT Project'] | ['azure', 'azure-iot-suite', 'javascript', 'packet-tracer', 'powerbi'] | 13 |
10,334 | https://devpost.com/software/qwe-8a2wtn | Inspiration
The safest way place to be in this pandemic would be at home but going out is always an inevitable thing whether its for groceries or for other necessities. Going out during this pandemic contributes a risk of getting infected with COVID19. But how much exactly is that risk of going out poses to your health in general? In hindsight of that question, this project aims to give every user a perspective on how much their exposure levels are to COVID 19 based on their daily activity of going out.
What it does
The app takes your home location and set's it as a safe zone where COVID exposure levels are 0 and the app classifies the data received from the AWS Data Exchange enigma corona tracker it classifies every place in the world as one of 3 zones. Zone 1 is a green zone where COVID cases are light to almost none for example countries with less COVID cases or in general an empty space, Zone 2 is an orange zone where you have orange level exposure where COVID cases are mediocre and finally, Zone 3 which is a red zone which is a heavy COVID population concentration and also includes public spaces.
The app classifies which zone you are in and presents a risk-based analysis based on the time you spent outside and based on the zone that the app classifies you in. It tracks how long you spent outside on that zone and when you return back home the app gives you an analysis of all the places you been to and the associated zone and gives a risk estimate on contracting COVID19. It gives you a detailed analysis of your daily activity and your monthly exposure levels to COVID.
This gives the user's a visual understanding of contracting COVID and the app also furthermore gives a risk analysis of wearing a mask vs without wearing mask for giving the user a perspective on how their exposure risk changes based on your precautions. Lastly, the app presents a set of precautions that must be taken based on your exposure levels in the time you spent outside.
The app also contains a map that wasn't completed to its potential but was intended to give a zone view of your location's radius on different exposure levels at different places.
How we built it
We built this app using flutter as our frontend for presenting our data visualization and analysis and fast API as our backend to compute our data from AWS and the data generated by the user. We used the AWS data exchange data set enigma corona scraper for analysis on locations and classifying a location to a zone based on population, corona growth rate, and other aspects to classify a location into a zone. Once it classifies an algorithm computes your risk exposure levels based on the time you spent at a zone. We hosted this application on Amazon EC2 instance and our storage in S3 and arangoDB for storing all data from AWS and the user-generated data. Lastly, we used different API's for map generation and news collection. We used a python library geopy to translate coordinates into an address the database understands for zone classification.
Challenges we ran into
Classifying a location to a certain zone took a lot of metrics and in many cases, the database didn't contain all metrics needed so we had to find other sources for the database to collect missing values. The data visualization and analysis was a challenge we had to pass while building the application.
Accomplishments that we're proud of
We are proud of our data analysis based on the user's daily input and AWS data exchange dataset's insight for backend zone determination and risk assessment. Furthermore, we built a good model to predict COVID exposure from real-life tracking and exposure risk levels.
What we learned
We learned to work with different API's connecting all of them together and certainly learned a lot about data modeling visualization.
What's next for TrackMyCovid
The next steps for TrackMyCovid are creating a map view of the world with green, orange, and red zones and creating more personalized reports based on COVID exposure and creating more accurate estimates. Furthermore, we plan on developing a map view to push notifications when you enter a new zone the app gives statistics on that zone and furthermore precautions for that exact zone.
Built With
amazon-ec2
amazon-web-services
arangodb
aws-data-exchange-enigma-dataset
boto3
covid19.org
fastapi
flutter
geopy
matplotlib
newsapi.org
nginx
numpy
pandas
scikit-learn
Try it out
github.com | TrackMyCovid | A mobile app which gives you a risk analysis of contracting COVID19 based on the places you been to and analyzing the amount of cases recorded and the time spent by you in each place. | ['Rohit Ganti', 'appidi abhinav', 'Arshdeep Singh', 'Abhishek Kumar', 'KrishNa Na'] | ['Honorable Mention', "People's Choice", 'Best AWS Project'] | ['amazon-ec2', 'amazon-web-services', 'arangodb', 'aws-data-exchange-enigma-dataset', 'boto3', 'covid19.org', 'fastapi', 'flutter', 'geopy', 'matplotlib', 'newsapi.org', 'nginx', 'numpy', 'pandas', 'scikit-learn'] | 14 |
10,334 | https://devpost.com/software/lexconnect-wio92b | Title
Main Screen
Send Text data
Recieve Text data
Inspiration
Let's start with a story
When a stranger asked Lexa if her if she could send a file she did so and that was the beginning of a nightmare. Vulgar calls from multiple numbers at ungodly hours... The constant
dread
when the phone rings.... Like Lexa thousands are
traumatized by cyber bullying
. If only Lexa had shared the file without leaving her digital footprint....
Enter LexConnect
LexConnect is an open-source tool developed by Hrishikesh P with the vision of
NO STRINGS ATTACHED
data transfer. LexConnect transmits data using audio which makes it easy and safe to share it with strangers as it
leaves no digital footprint
if used wisely.
No more fear
of the stranger getting your phone no: or email id or even taking the risk of allowing them into your LAN. As of now,
text
and
music
can be transmitted.
LexConnect is also a
data-broadcasting
app which allows you to easily send data to a room full of strangers.
Motto
The motto of LexConnect is to help
reduce the risk of cyber-bullying
and
increase women safety
.
LexConnect also aims to make
data-broadcasting
easier.
Creativity Factor
LexConnect is the
ONLY
app of it's kind. As it uses sound as a medium it is compatible with all electronic devices having a microphone and speaker. This also makes plausible digital footprints like phone no:, email id, LAN etc. unnecessary. Thus, transmissions can be 100% anonymous with no way of tracing the source back to the sender.
What's next for LexConnect
Being open-source I hope LexConnect will be able to transfer more kinds of data. I myself shall work on
predictive audio-based image compression
in the coming days. The goal is to make LexConnect the Xender of the audio world.
Tech Stack used
Tech stack comprises of React, JS, & plain old HTML.
How it works !
Data is first encoded using a Rot cipher and then converted to respective audio signals which is then compressed using Fast Fourier transforms. These signals are then transmitted via the sender's speaker. The signals are captured via the receiver's microphone and are decompressed and the encoded text is obtained which is then decoded using an inverse Rot cipher.
Challenges I ran into
Where should I start ;) This is my first React project. I spent ours trying to figure out the enmity between github pages and React routes :(
I had a lot of trouble figuring out the
optimum data-transfer method
that could be implemented in a day! I spent a lot of time figuring out a way to make the audio unique but finally realized that a better algorithm would be to make the data encoded and the audio ordinary. This makes the app accessible irrespective of the speaker and microphone specs at the same time making the data secure.
Accomplishments I'm proud of
Building something that helps in making the world a
safer place for women
and making an effort to reduce cyber-bullying these are the 2 rewards I have gained during this hackathon. Nothing compares to helping others and
that is a reward in itself
.
What I learned
I have
tasted the joy of social service
. This was my first React project and I learned the beauty of the Virtual DOM. The renders are so satisfying !!!
Built With
javascript
react
Try it out
github.com | LexConnect | Prevent cyber-harassment of women using anonymous data transfer | ['Hrishikesh P'] | ['Best Anti-Cyberbullying Project'] | ['javascript', 'react'] | 15 |
10,334 | https://devpost.com/software/covidar-mlsewn | UI
world AR
India AR
AR GAME
BAR GRAPH
Inspiration
Matthew Halberg
posted a video on Instagram about
data visualization
COVID AR for the USA that the first impression to do in India COVID AR
What it does
Visualization of data of coronavirus data in augmented reality.
How we built it
by learning the unity engine, AR foundation, JsonAPI, android native plugin, and 3d object interaction and the responses, transportation of the 3d objects interacting with the real-world entities.
Challenges we ran into
focusing on
Dynamic objects at the run time
and make it interact with the ray cast technology
Accomplishments that we're proud of
I and my friend had done the interaction of the dynamic loading and the server script for the runtime loaded objects with the
custom behavior scrips
provided by the echo ar.
What we learned
echo ar and the usage of dynamic loading objects.
What's next for COVIDAR
develop a featured product for
data processing for any kind of data with the API
symptom visualization in AR, AR chatbot.
Built With
api
ar
arfoundation
unity
Try it out
github.com | COVIDAR | Once it arrives, Augmented Reality will be everywhere like covid 19 | ['JOTHESH S P', 'Mageshwaran R', 'Prashanth S'] | ['Best AR Project', 'Best Education Project'] | ['api', 'ar', 'arfoundation', 'unity'] | 16 |
10,334 | https://devpost.com/software/meet-powerups | landing page
Inspiration
Considering the pandemic going on, education in schools, colleges has become online pretty much in most places. The commonly preferred platform for classes, exams has been Google Meet. Although Google Meet has good UI and comfortable experience, it lacks many features that students and teachers feel are important. Hence, our project, Google Meet power-ups comes for the rescue. For this hackathon we added a much requested feature on the google meet support page -
Image Sharing!
What it does
It add the image sharing capabilities to google meet. It is the much requested thing on google meet support forum. User can send the image in the google meet chat just like they can send text messages.
Challenges I ran into
Getting the elements of google meet page was the difficult thing as google is not giving static ids or classnames to elements. we studied Xpaths and tried lot of different ways to get the DOM elements in our javascript code.
Getting updates for every new message that arrives. We had no clue how it can be done. We searched github, stackoverflow and blogs to get the idea about getting notification for every new meet message, but there were no such thing available. After digging much into the docs, we found MutationObserver and used that for this. We are proud that we are probably the first one to make it happen.
Accomplishments that we're proud of
We are able to get the incoming messages in realtime asynchronously using MutationObserver. We learned that th
ing by reading about it from the docs. There are very few resources available for that. We are happy that we learned this concept and implemented it in our application.
We learned about adding the paste event and listening for it on input box of meet. We learned event propagation for that.
What we learned
Mutation Observer API
Event Bubbling
How to build extensions
What's next for Meet Powerups
File transfer support.
Built With
extension
firebase
javascript
mutationapi
Try it out
powermeetup.netlify.app
powermeetup.space
github.com | Meet Powerups | A Chrome-extension to enhance and add features to google-meet video conferencing web-app. | ['Vishal Kumar', 'Vivek Shah', 'rukmini meda'] | ['Best Chrome Extension'] | ['extension', 'firebase', 'javascript', 'mutationapi'] | 17 |
10,334 | https://devpost.com/software/food-ordering-website | Home page
Options For the customer
Empty cart page
order page
Register page for customer
Realtime changes occured without an mannual refresh using socket.io in admin panel and customer order page
Inspiration
There are still many of the Dhaba( Restaurants ) who are still not connected to the food ordering firms like zomato or swiggy and due to corona many of them have great effects on their business.
And due to the corona pandemic now the customers who used to visit them also didn't visit them as they don't want to step out due to the corona pandemic.
So the food ordering website is like a normal website that is easy to use and customize. Where the customer can order food with an awesomely designed website and the owner of the shop would have the access to the admin panel where he can respond to the orders. And everything would be done in realtime that means there would be no manual refresh by the user or the shopowner that would be done using socket.io.
What I Learned
With this single project, I have learned many of the technology I have listed above like ejs template making backend using MongoDB and a lot more.
Challenges I Faced
We definitely all agree that our time constraint was a challenge, a lot of us had many ideas to input but because of time, we focused on the most important aspects.
Accomplishments that I'm proud of
I am proud of making a website with my own efforts with an intention for making a product for the people in need.
Built With
axios
bcrypt
css3
dotenv
ejs
express.js
html5
javascript
moment.js
mongodb
node.js
noty
npm
passport
scss
socket.io
Try it out
daggerhub.herokuapp.com
github.com | Food-Ordering-website | Death without doing nothing for the wellness of people around with the skills you have is like living the life like a lifeless humanbody. | ['Vishwash Bajpai'] | ['Best Delivery Project'] | ['axios', 'bcrypt', 'css3', 'dotenv', 'ejs', 'express.js', 'html5', 'javascript', 'moment.js', 'mongodb', 'node.js', 'noty', 'npm', 'passport', 'scss', 'socket.io'] | 18 |
10,334 | https://devpost.com/software/wecare-0fjkb9 | Summary: Home Screen of app, which allows you to report your symptoms, check the status of your circle, and get daily personalized tips.
Home Screen of app, which allows you to report your symptoms, check the status of your circle, and get daily personalized tips.
Map Screen of app, which allows you to see hotspots around you and your Care Circle.
Care Circle screen of app, which allows you to health conditions of your loved ones.
Web interface, which can be used to update the symptoms. It is synced with the app.
The problem WeCare solves
As the outbreak of COVID-19 continues to spread throughout the entire world, more stringent containment measures from social distancing to city closure are being put into place, greatly stressing people we care about. To address the outbreak, there have been many ad hoc solutions for symptom tracking (e.g.,
UK app
), contact tracing (e.g.,
PPEP-PT
), and environmental risk dashboards (
covidmap
). However, these fragmented solutions may lead to false risk communication to citizens, while violating the privacy, adding extra layers of pressure to authorities and public health, and are not effective to follow the conditions of our cared ones. Until now, there is no privacy-preserving platform in the world to 1) let us follow the health conditions of our cared ones, 2) use a statistically rigorous live hotspots mapping to visualize current potential risks around localities based on available and important factors (environment, contacts, and symptoms) so the community can stay safer while resuming their normal life, and 3) collect accurate information for policymakers to better plan their limited resources.
Such a unified solution would help many families who are not able to see each other due to self-quarantine and enable early detection and risk evaluation, which may save many lives, especially for vulnerable groups. These urgent needs would remain for many months given that the quarantine conditions may be in place for the upcoming months, as the outbreak is not reported to occur yet in Africa, the potential arrival of second and third waves, and COVID-19 potential reappearance next year at a smaller scale (like seasonal flu). There is still uncertain information about immunity after being infected and recovered from COVID-19. Therefore, it is of paramount importance to address them using an easy-to-use and privacy-preserving solution that helps individuals, governments, and public health authorities. The closest solution is
COVID Aggregated Risk Evaluation project
, which tries to aggregate environment, contacts, and symptoms into a single risk factor. WeCare takes a different approach and a) visualizes those factors (instead of combining them into a single risk value) for more tangible risk communication and b) incentivizes individuals to regularly check their symptoms and share it with their Care Circle or health authorities.
WeCare Solution
WeCare is a digital platform, both app and website. Both platforms can be used separately, and with freedom of choice towards the user. The app, however, will give users more information and mobile resources throughout the day. Our cross-platform app enables symptom tracking, contact tracing, and environmental risk evaluation (using official data from public health authorities). Individuals can add their family members and friends to a Care Circle and track their health status and get personalized daily updates. In particular, individuals can opt-in to fill a simple questionnaire, supervised by our epidemiologist team member, about their symptoms, comorbidities, and demographic information. The app then tracks their location and informs them of potential hotspots for them and for vulnerable populations over a live map, built using opt-in reports of individuals. This map is accessible on the app and our website. Moreover, symptoms of individuals will be tracked frequently to enable sending a notification to the Care Circle and health authorities once the conditions get more severe. We have also designed a citizen point, where individuals get badges based on their contributions to solving pandemic by daily checkup, staying healthy, avoiding highly risky zones, protecting vulnerable groups, and sharing their anonymous data.
Our contact tracing module follows guidelines of Decentralized Pan-European Privacy-Preserving Proximity Tracing
(PEPP-PT)
, which is an international collaboration of top European universities and research institutes to ensure safety and privacy of individuals.
What we have done during the summer.
We have updated the app-design. New contacts with Brasil, Chile and Singapore. We have also made some translation work with the app. Shared more on social media about the project and also connected to more people on slack and LinkedIn.
We have consolidated the idea and validated it with a customer survey. We then developed a new interface for
website
and changed the python backend to make it compatible with the WeCare app. We have also designed the app prototype and all main functionalities:
Environment: We have developed the notion of hotspots where we have developed a machine learning model that maps the certified number of infected people in a city and the spatial distribution of city population to the approximate number of infected in the neighbourhood of everyone.
Contact tracing: We have developed and successfully tested a privacy-preserving decentralized contact tracing module following the
(PEPP-PT)
, guidelines.
Symptoms tracking: We have developed a symptom tracking module for the app and website.
Care Circle: We have designed and implemented Care Circle where individuals can add significant ones to their circle using an anonymous ID and track their health status and the risk map around their location.
You can change what info you want to share with Care Circle during the crisis.
The app is very easy-to-use with minimal input (less than a minute per day) from the user.
We are proud of the achievements of our team, given the very limited time and all the challenges.
Challenges we ran into
EUvsVirus Hackathon Challenge opened its online borders recently to the global audiences which brought together plenty of people of different expertise and skills. There were challenges that we faced that were very unique, as we faced a variety of communication platforms on top of open-source development tools.
Online Slack workspaces and Zoom meetings and webinars presented challenges in forms of inactive team members, cross-communications, and information bombardment in several separate threads and channels in Slack and online meetings of strangers that are coordinated across different time zones. In developing the website and app for user input data, our next challenge was in preserving the privacy of user information.
In the development of a live map indicating hotspot regions of the COVID-19 real-time dataset, our biggest challenge here was to ensure we do not misrepresent risk and prediction into our live mapping models. We approached Skill Mentor Alise. E, a specialist in epidemiology, who then explained in greater detail that the proper prediction and risk modelling should take into account a large number of factors such as population, epidemiology, and mitigations, etc., and take caution on the information we are presenting to the public. Coupled with the lack of official datasets available for specific municipalities for regions, we based geocoding data mining of user input by area codes cross-compared with available Sweden cities number of fatalities, infected and in intensive care due to COVID-19.
The solution’s impact on the crisis
We believe that WeCare would help many families who can see each other due to self-quarantine and enable early detection and risk evaluation, which may save many lives, especially for vulnerable groups. The ability to check up on their Care Circle and the hotspots around them substantially reduces the stress level and enables a much more effective and safer re-opening of the communities. Also, individuals can have a better understanding of the COVID-19 situation in their local neighbourhood, which is of paramount importance but not available today.
The live hotspot map enables many people of at-risk groups to have their daily walk and exercise, which are essential to improve their immunity system, yet sadly almost impossible today in many countries.
The concept of Care Circle motivates many people to invite a few others to monitor their symptoms on a daily basis (incentivized also through badges and notifications) and take more effective prevention practices.
Thereby, WeCare enables everyone to make important contributions toward addressing the crisis.
Moreover, data sharing would enable a better visual mapping model for public assessment, but also better data collection for the public health authorities and policymakers to make more informed decisions.
The necessities to continue the project
We plan to continue the project and fully develop the app. However, to realize the vision of WeCare we need the followings:
Social acceptance: though being confirmed using a small customer survey, we need more people to use the WeCare app and share their data, to build a better live risk map. We would also appreciate more fine-grained data from the health authorities, including the number of infected cases in small city zones and municipalities.
Public support: a partnership with authorities and potentially being as a part of government services, though not being necessary, to make it more legitimate. This would increase the level of reporting and therefore having a better overview and control of the crisis.
Resources: So far, we are voluntarily (and happily) paying for the costs of the servers. Given that all the services of the app and website would be free, we may need some support to run the services in the long-run.
The value of your solution(s) after the crisis
The quarantine conditions and strict isolation policies may still be in place for upcoming months and year, as the outbreak is not reported to occur yet in Africa, the potential arrival of second and third waves, and possible COVID-19 reappearance next year at a smaller scale (like seasonal flu).
Therefore, we believe that WeCare is a sustainable solution and remains very valuable after the current COVID-19 crisis.
The URL to the prototype
We believe in open science and open-source developments. You can find all the codes and documentation (so far) at our
Website
.
Github repo
.
Other channels.
https://www.facebook.com/wecareteamsweden
https://www.instagram.com/wecare_team
https://www.linkedin.com/company/42699280
https://youtu.be/_4wAGCkwInw
(new app demo 2020-05)
Interview:
https://www.ingenjoren.se/2020/04/29/de-jobbar-pa-fritiden-med-en-svensk-smittspridnings-app
Built With
node.js
python
react
vue.js
Try it out
www.covidmap.se
github.com | WeCare | WeCare is a privacy-preserving app & page that keeps you & your family safer. You can track the health status of your cared ones & use a live hotspot map to start your normal life while staying safer. | [] | ['2nd place', 'Best EUvsVirus Continuation', 'Best Privacy Project'] | ['node.js', 'python', 'react', 'vue.js'] | 19 |
10,334 | https://devpost.com/software/remote-elderly-home-care-via-privacy-preserving-surveillance-9mrdgx | Privacy preserving person face detection at home
Plug and Play AI device discovery
Home Page
Person detection indoors
Person detection outdoors
Inspiration
COVID19 isolated at home many of us, including our elderly parents and grandparents. Not being able to check on them regularly elevates the risks that they are exposed to such as falls, gas leaks, flooding, fire and others.
What it does
Ambianic.ai is an end-to-end Open Source Ambient Intelligence project that removes the stigma associated with surveillance systems by implementing privacy preserving algorithms in three critical layers:
Peer-to-Peer Remote access
Local device AI inference and training
Local data storage
Ambianic.ai observes a target environment and alerts users for events of interest. Data us only available to homeowners and their family. User data is never sent to any third party cloud servers.
Here is a blog post that goes into the reasons why we started this project:
https://blog.ambianic.ai/2020/02/05/pnp.html
And here is a technical deep dive article published in WebRTCHacks. It clarifies that it is absolutely possible to build a privacy preserving surveillance system, despite popular cloud vendors making us believe that all user data belongs safely on their cloud servers:
https://webrtchacks.com/private-home-surveillance-with-the-webrtc-datachannel/
How we built it
Ambianic.ai has 3 main components:
Ambianic.ai Edge: a Python application designed to run on an IoT Edge device such as a Raspberry Pi or a NUC. It attaches to video cameras and other sensors to gather input. It then runs inference pipelines using AI models that detect events of interest such as objects, people and other triggers.
Ambianic.ai UI: A Progressive Web App written in Javascript using Vue.js and other front end frameworks to deliver an intuitive timeline of events to the end user.
Ambianic.ai PnP: A plug-and-play framework that allows Ambianic UI and Ambianic Edge to discover each other seamlessly and communicate over secure peer-to-peer protocol using WebRTC APIs.
Challenges we ran into
Challenges include selecting high performance, high accuracy and low latency AI models to detect events of interest on resource constraint edge devices.
Another challenge is taking into account user local data to fine tune AI models. Pre-trained models can perform reasonably well, but they can be improved with privacy preserving federated learning on unique new local data.
Accomplishments that we're proud of
Ambianic.ai has been in public Beta for several weeks helping a number of users in their daily lives. Some users report success in keeping an eye on their elderly family members:
https://twitter.com/mchapman671/status/1230931722650423299
What we learned
Although the project sets ambitious goals, there seem to be sufficient enabling Open Source frameworks and community momentum to drive the ongoing success.
What's next for Remote Elderly Home Care via Privacy Preserving Surveillance
We need to work on these major areas:
Recruit volunteers in the home care community to test the system and provide feedback
Select more models to address open use cases such as fall detection, gas leaks and others
Work on implementing Federated Learning infrastructure to fine tune initial pre-trained models.
Built With
javascript
pwa
python
raspberry-pi
tensorflow
webrtc
Try it out
docs.ambianic.ai | Remote Elderly Home Care via Privacy Preserving Surveillance | COVID19 isolated at home many of us, including our elderly family members. Left unattended they are prone to risks such as falls, gas leaks, flooding, fire and others. | ['Björn Kristensson Alfsson', 'Yana Vasileva', 'Ivelin Ivanov'] | ['Best EUvsVirus Continuation', 'Best Home Care Project', 'Best Platform'] | ['javascript', 'pwa', 'python', 'raspberry-pi', 'tensorflow', 'webrtc'] | 20 |
10,334 | https://devpost.com/software/insurguard-hlrzs9 | The Insurguard logo
Our website view
Inspiration
The field of Insurtech is one that has long been overlooked by many. However, with the increase of economic loss annually, and the divide between household and insurance company, this field is becoming more important than ever. Studies show that the annual natural disaster caused economic loss tallies up to several hundred billion US dollars. Yet only a third of this economic loss has been insured. As many of this loss affects families and households, we felt strongly that, especially in a year like 2020, we need to make something that could streamline the disaster insurance process, as well as something that lets households know that they need disaster insurance. That's where Insurguard comes in.
What it does
Our solution, Insurguard, is a Web Application that enables users to compare, contrast, and even apply for natural disaster insurance plans all in one simple and streamlined platform. In addition, Insurguard will notify users, recommending them to apply for disaster insurance, if their household is detected to be in harm's way.
Using a proprietary web scraping algorithm, Insurguard will present the user with a multitude of insurance plans for every natural disaster type imaginable. Users can compare and contrast plans until they find one that is best suited to them.. Once users find a favorable insurance plan, they can apply and pay for it right through the app. Additionally, Insurguard will constantly check if the user's household is within the path of a natural disaster. If it is, it will instantly send them a notification, advising them to apply for disaster insurance as soon as possible!
How we built it
For our tech stack, we used Python for the backend, Flask servers for the middle, and Reactjs on the frontend. We used API calls and Web Scraping on the python backend to retrieve our information, and then we create API endpoints with our Flask server. We used HTTP Requests to allow these to process, and we called them with our Reactjs frontend. We used user information in the request body, and then processed and displayed the response.
Challenges we ran into
We had a ton of issues in accordance with time. It was difficult to fit everything into 36 hours of work, especially for such a complex web application. Other than that, finding the website to scrape insurance quote information was also very difficult. We had difficulties finding a website directly linked to pricing natural disaster insurance, and hopefully, in the future, it will be much easier.
Accomplishments that we're proud of
We found what it took to work as a team. Coming into this project, we were not familiar with each other at all. We were able to learn about each other's strengths and weaknesses and use them to our advantage. Everyone took on their own role, and it allowed our team to flourish with almost no problems at all working together.
What we learned
We learned a lot about flask and python. It helped us in solidifying an understanding of our open API calls. Other than that, we became really well verses in Reactjs, and most importantly working as a team. Our teamwork skills have improved exponentially, and it is no doubt due to the fact that we were strangers before, and now we are great friends.
What's next for Insurguard
Going forward, the team plans to implement an insurance quote system right into the app. Using satellite imaging, Insurguard will be able to use computer vision to estimate the financial loss. The estimate will then be directly sent to the user's insurance company, which after review, will directly compensate the user through the app itself.
Built With
flask
javascript
jsx
python
react
request
response
selenium
serverapi
webdriver
Try it out
github.com
drive.google.com | Insurguard | A Web App that will tell you when and show you how to get disaster insurance | ['Swarith Reddy', 'Samay Nandwana', 'Shashank Vemuri', 'Shrey Jain'] | ['Best Insurance Project'] | ['flask', 'javascript', 'jsx', 'python', 'react', 'request', 'response', 'selenium', 'serverapi', 'webdriver'] | 21 |
10,334 | https://devpost.com/software/voice-shop-voice-enabled-shopping-assistant | Inspiration
The day to day process of navigating to websites and then adding products to the cart is time-consuming. So We thought of making a voice-enabled shopping assistant which can search and add products to the cart just with a voice command.
What it does
It can search and add products to the cart just with a voice command. It is also capable of performing a day-to-day activity such as playing music, opening applications, etc
How I built it
We have built it in python using the selenium library and performing web automation
Challenges I ran into
Web automation was really tough
Accomplishments that I'm proud of
The final product which performs on voice command is an accomplishment.
What I learned
I have learned many new skills like web automation, python libraries, etc
What's next for Voice Shop - Voice-enabled Shopping Assistant
Built With
python
selenium
Try it out
github.com | Voice Shop - Voice-enabled Shopping Assistant | A daily use voice enabled shopping assistant | ['Esha Goel', 'Vidhi Garg'] | ['Best Voice Project'] | ['python', 'selenium'] | 22 |
10,334 | https://devpost.com/software/workder-9dkufh | The logo
The database workflow
Inspiration
Having submitted many work orders for my terrible dorm room, I've been quite interested in how work orders are processed, specifically on the management side. How is it that a worker can show up the next day with exactly the right tools for the job? For this hackathon, I decided to create a mock version of a work order manager with a customer side user interface.
What it does
Workder allows customers to fill out work orders and track them in real time. They fill out a form that then gets sent to FireStore where an optimized query takes place to determine the appropriate worker to send for the job. Then the worker is notified of the work order via SMS and the customer sees this information in real-time.
How I built it
Workder is built with a React Native framework with several other APIs.
Firebase was used for user authentication (and a failed attempt at hosting)
FireStore was used as a realtime database for data management
Stores Data and User Information.
GitHub was used for file management.
Netlify was attempted to be used for hosting.
Radar.io was used to target workers who were closest to the job.
Challenges I ran into
React Native is one of those tools where a lot of APIs don't really have support so everything is community made and with that comes it's own challenges. For example, I was using a dropdown component that was 4 years out of date and it had a bug where the entire app would not connect because some module was missing, but there wasn't any documentation on it. After hunting around, there was a stack overflow post saying to change the import statement to say v2 and everything fixed itself. That entire issue took an unhappy 3 hours to track down.
Another fun problem is that React Native is constantly changing and features that I may have used a year ago are now deprecated and held up by community remakes. Navigation between screens was something that I had to relearn from scratch as the update from v4 to v5 completely rewrote how navigation was done.
Deploying things that are still in beta is hard. React Native offers support for Web, but that doesn't mean there's good documentation on how to deploy it. After several failed attempts at Firebase hosting, I went with Netlify which is hopefully loaded and working by the time you see this.
Accomplishments that I'm proud of
FireStore works! I've used FireStore before, but only to query the user's name so that it could be displayed. I learned how to query a database and how to return values from it to display in my app. Coming from no database background, this was pretty fun.
What I learned
The values and perils of community built libraries.
What's next for Workder
Better integration with Radar.io
Real-time tracking of workers as they arrive
Worker user interface so that they aren't reliant on text messages alone
Admin user interface to see all the datas
Actual deployment!
Domain.com entry: workder.online
Built With
firebase
react-native
Try it out
github.com | Workder | A way to track work orders | ['Ramya Challa'] | ['Chevron', 'Best Workflow Project', 'Most Creative Radar.io Hack'] | ['firebase', 'react-native'] | 23 |
10,334 | https://devpost.com/software/birthday-marshmallow | Adafruit FLORA Board
Birthday Marshmallow
Inspiration
I got this arduino flora for my birthday and wanted to program it to sing happy birthday.
What it does
It is essentially a hardware hack using the Adafruit Circuit Playground FLORA board sewn onto a purple marshmallow plushy that plays a special version of happy birthday when the program is run.
How I built it
I programmed the tune according to the note frequencies. I used the Arduino IDE to upload my program to my FLORA board. Then, I used string to sew my FLORA board onto my marshmallow plushy. I chose to make a marshmallow because of the cylindrical shape that matches the board.
Challenges I ran into
Adjusting the notes and pitches of the song was a challenge because many notes were either sharp or flat. I had a hard time adjusting the time in milliseconds since some notes needed to be longer than others.
Accomplishments that I'm proud of
I was able to make a complete song out of my Adafruit FLORA board that is not only something I have never tried before, but is also my first hardware hack!
What I learned
I learned how to program notes onto a software and upload it onto hardware and that programming can be easily exported to real hardware.
What's next for Birthday Marshmallow
I have LED lights sewn on with a wire, but does not light up yet. Blinking lights are next for my birthday marshmallow.
Built With
adafruit
arduino
c++
flora
Try it out
github.com | Birthday Marshmallow | Marshmallow plushy that makes birthdays fun | ['Hailey Tien'] | ['Best Birthday Project!', 'Best Hardware Hack presented by Digi-Key'] | ['adafruit', 'arduino', 'c++', 'flora'] | 24 |
10,334 | https://devpost.com/software/ggbuddy | GIF
Inspiration
Finding people with common interests was hassle during the pandemic and this was common in our team. We found a niche in this problem and therefore wanted to build a solution for it.
What it does
Stuck at home attending stupid online classes 👨🎓? Got no Among us community and wasting hours on public servers 🎮? Wanting to discuss your Linear Algebra homework at the last minute 📖? On a quest to find the next perfect Netflix series to binge watch and discuss with a buddy 👀😘? The pandemic sucks, we know it - so we built 🛠 GGBuddy - the perfect place to find a GGBuddy to do anything and everything. Our advanced machine learning algorithms find you the perfect match to make 2020 great 🚀 again!
How we built it
To build it, we used HTML, CSS, JS, Python, Mongodb and Node.js. The website was built with HTML, Bootstrap, CSS and Javascript. After that, we made a form using Mongodb and Node.js and later with third party software. After connecting from different users, we trained our machine learning model using tensorflow on 500+ entries and tested on 300+ entries. Although, we got an accuracy of 89.95%.
Challenges we ran into
We faced various challenges during the hackathon. First of all, working in different time zones, then aligning ourselves on a common goal. The trial and error method of different machine learning models like K-n nearest neighbours, linear regression, and finally tensor flow was a tedious task.
Accomplishments that we're proud of
1) Completing the MVP of the project
2) Meeting new people
3) In the process of the hackathon, we learned Mongodb and Node.js.
4) Working as a team
What we learned
1) Mongodb
2) Node.js
3) And most importantly: teamwork
What's next for GGBuddy
This is definitely not the end for GGbuddy. We see it as a great idea because it focuses on solving a problem which student's have been facing for a long time. We will probably find a developer to improve the User interface. We will give a thought on the business model and improve the machine learning model by training it on more data.
Built With
css3
django
firebase
html5
javascript
mongodb
node.js
particle
python
tensorflow
Try it out
samyakkapoor.com | GGBuddy | The most convenient method to find suitable partners for your expeditions. | ['Samyak kapoor', 'Satvik Kapoor'] | [] | ['css3', 'django', 'firebase', 'html5', 'javascript', 'mongodb', 'node.js', 'particle', 'python', 'tensorflow'] | 25 |
10,334 | https://devpost.com/software/digination | Inspiration
I was inspired by the Black Lives Matter Protests and how unorganized they seemed to be on social media. I decided to try to make a website to help spread the information.
What it does
This website allows users to post information on events which will then be saved on a server and featured on the front page. Users can then click sort or search for events and click on the unique links for each one to see who is going, where it is. Users can then use the copy link feature to share the information on multiple platforms.
How I built it
I started making this website by making a simple framework with the header file and an index to create a visually pleasing display. I then created a SQL database. From there I made a webpage designed to submit information to the database. The index was then linked to the database to display the information from the database. I also created tabs on the side to sort the posts. I then created a webpage and a contact database to allow users to contact me. I then started making the unique webpages based on the ID's for each post. I was able to create a webpage that displayed the information and used my Javascript progams to copy and share the link for each post. Finally, I added a search bar to allow users to search easier.
Challenges I ran into
One of my major challenges was getting everything into pacific standard time, I spent an hour on this problem before realizing that the SQL database provides the time in the 24 hour format.
Accomplishments that I'm proud of
I know it's not the most impressive part of the website, but I had never used javascript before, and I am really proud of my copyURL program.
What I learned
I learn so much about general SQL and PHP programming, but I learned a lot more about Javascript, even if I couldn't use all of my new information.
What's next for Digination
I plan to make the amount attending feature work, create a login system that requires users to sign in before posting, a comment system, and learning how to use the google maps API to filter by distance.
Built With
css
html5
javascript
php
php5
python
sql
Try it out
grantswajian.orgfree.com
github.com | Digination | Digination is a Social Media Website that allow user to post events to help benefit the community, like protests, recycling events, or anything else. | ['Grant Swajian'] | [] | ['css', 'html5', 'javascript', 'php', 'php5', 'python', 'sql'] | 26 |
10,334 | https://devpost.com/software/massanger-go | Inspiration
What it does it send easily massage
How I built it
Using devpost
Challenges I ran into
I will ran into tizen device
Accomplishments that I'm proud of
What I learned
I lernt to make
What's next for Massanger Go
Built With
bengali
hindi
oxford-english-dictionary | Massanger Go | just want to make a application like whatsapp massanger | ['sarimul Haque'] | [] | ['bengali', 'hindi', 'oxford-english-dictionary'] | 27 |
10,335 | https://devpost.com/software/job-hunt-3pvms7 | Inspiration
There is no adequate websites explicitly for part-time job seekers.So we came up with idea to make one to help people with less resources, education or work experience to land up with a job whos requirements are less.
What it does
It list all the jobs availble within your range .
How we built it
We built it as a sinle page application on react platform and integrated it with redux by calling third party apis.
Challenges we ran into
It was difficult to fetch data from api .As there are limits on free api hits we have to save data locally in our cache for developent purpose.
Accomplishments that we're proud of
We are able to wrap up the project within time limit andsome what good front end design.
What we learned
We learned to work in a team.to resolve the conflicts while merging on github.
What's next for Job-Hunt
We are doing small sall project for or learning experience and developing our portfolio for job hunt.
Built With
bootstrap
css
fetchapi
react
Try it out
github.com | Job-Hunt | Looking For Part Times ? Now Hire or Get Hired. | ['neha gupta', 'Monika'] | ['Sustainability Track'] | ['bootstrap', 'css', 'fetchapi', 'react'] | 0 |
10,335 | https://devpost.com/software/odis-obstacle-detection-inside-the-sea | GIF
Abstract
One of the problems facing by underwater vehicles and ships is in detecting any incoming obstacle to avoid a collision which might lead to hazards. Thus, this project focused on the design of an underwater obstacle detection system using a sonar sensor.
This project uses the sonar sensor as distance detection to determine the distance between sensor and obstacle and camera to predict the type of obstacle is it using Deep Learning.
Introduction
Every day, many boats and ships run on the water, and most of the ships have well defined navigating systems with radar technologies but most boats don’t have! Also, the navigating systems are present for the upward detection not underwater.
There are many cases we find most of the time where the boats or ships sink due to the underwater obstacles like huge ice blocks, rocks, or any other underwater hindrances. But we found there were no certain devices or technologies which help in predicting underwater obstacles to detect the objects accurately and warn the pilot for the same. Also, if some devices are there, those are much expensive which are usually not affordable by the boatmen! Considering the said problem, we have come up with a unique and low-cost solution.
Introducing,
ODIS
(Object Detection inside Sea); a smart device that will detect the underwater obstacles with the help of underwater radar and image processing. The device will detect the underwater obstacles with the help of radar technology and with the help of image processing we can get to know about what type of object is it and image processing with deep learning will increase the accuracy of the system.
Components
Arduino Uno (for now later in the actual model we can use Raspberry Pi for the whole system)
Underwater radar senor/Ultrasonic Sensor
Camera with thermal image processing
Laptop/PC/Mac (a system where we can run the model for now).
Radar Sensing
-The radar sensing will be based on simple ultrasonic technology. The ultrasonic waves can travel inside the water. It works in the following principle:
-Using the help of this technology, we can detect underwater obstacles. The sensors will be fitted around the four corners of the ship/boat for better accuracy.
Block Diagram
Workflow
Image Processing
-Image processing with Deep learning has great scope in detecting the objects accurately. It can also detect what type of object is it then it can respond accordingly.
-We’ll be using the Keras Model for the prediction and the images are trained using Google’s Teachable Machine. It’ll basically detect the object under the water and give a result of whether there are obstacles or not.
In details
The radar sensor will create a virtual underwater map that will be displayed on the dashboard. The camera will provide the live feedback of the underwater scenario and the algorithm will scan the obstacles and give a perfect prediction before warning.
If there will be an obstacle in front of the boat/ship then it'll give pre-warnings to the pilot. The warning will be via buzzer, lights!
-The combined system, radar sensing, and objection will make the entire system more accurate.
-In this way, ODIS can control the hazards due to the obstacles which will save many lives and cost also!
Testing Link:
Link
Challenges we ran into
Due to the pandemic, COVID19, we can't get the chance to go out and test our work. We faced major problems in the image processing part where we have to work with the mobile phone for photo testing.
Accomplishments that we're proud of
We are proud that we created the system which will help many navigators and boats during their journey!
What we learned
During the work, we found many exciting things about the ocean and ocean lives. Also, we learned Tensorflow and Keras during our project!
What's next for ODIS (Obstacle Detection Inside the Sea)
The next plan for ODIS is to implement and test. Realtime data will help us to get more accurate value and results!
Built With
arduino
javascript
machine-learning
python
tensorflow
Try it out
github.com
piysocial-india.github.io | ODIS (Obstacle Detection Inside the Sea) | "A smart autonomous system to detect obstacles under the water and alert the pilot to avoid hazards and accidents." | ['Saswat Samal', 'Sanket Sanjeeb Pattanaik'] | ['Sustainability Track'] | ['arduino', 'javascript', 'machine-learning', 'python', 'tensorflow'] | 1 |
10,335 | https://devpost.com/software/clean-and-green | The welcome page for our app!
You get to choose your language after you press the get started button.
This is the menu.
If you press on the button to calculate your carbon footprint, you are brought here.
You have to do this simple quiz to get your result.
Then, after you do the quiz, you get to know how many earths it would take if everyone lived like you. The screenshot is just an example.
If you go back to menu and press the short quiz on climate change, you are brought here.
After doing it, you get your score.
If you go back to menu and press "Everything you should know...". you are brought here.
If you choose the first option of the fun fact generator, you are brought here.
If you choose the second option by just reading facts, you are brought here.
If you go back to menu and press the "How you can help" button, you are brought here.
If you choose the "Learn by playing games", you are brought to this instruction page.
Then you are brought to the game.
If you choose the "Learn by reading", you are brought to this page.
If you go back to menu and choose the impact of COVID-19 on the Earth, you are brought here to the information page.
If you press "Next page" on the previous screen, you are brought here.
If you go back to menu and press "Collection of games", you are brought here. We already showed the fun fact generator and Save the earth!.
If you choose Draw the earth, you are brought here.
If you choose Catch the CO2, you are brought here.
If you go back to menu and choose sources used, you are brought here.
Inspiration
Climate change is a serious issue in the world today. Current efforts to solve and promote the issue of climate change has not been much effective. In our opinions, the key to solve climate change is to get more advocates, but in what why? That was the question we were stuck on. After doing hours of brainstorming and research, we found out that if there were more young people in the society who were more knowledgeable about the issue and know the potential effects of climate change, they will be more motivated to spread the information and change their lifestyle. Thus, we created our app with a slight twist to it: we filled the app with different interesting games for you to learn more about climate change, which could possibly motivate you to take action. There is, of course, also information which you can read if you prefer it that way.
What it does
Our climate change app has several sections. Firstly, there is a quiz which you can do to test out your carbon footprint and see how many Earths it would take if everyone lives like you. In the quiz, it asks you few simple questions about your daily lifestyle. After you have completed the quiz, you get to know a cool fact (if everyone lived like you, how many earths it would take) that might serve as a motivation to what you can do to help alleviate the severity of climate change! Secondly, there is a short quiz on climate change which tests your knowledge on general information on climate change. This quiz allows you to learn from your mistake and gain more knowledge on the basic facts of climate change. Thirdly, there is a place for you to learn more information on climate change. Even if you think you know everything about this issue, there is always more to learn! In this section, you can choose to either read facts or generate facts about climate change. Both ways are great ways to learn but it all depends on you and how you learn best! Fourthly, there is a place where you can learn about how you can help. This section is also divided on to two sections, a fun game or a short passage to read. The game is where you have to answer true or false questions of what you should do to contribute to alleviating the severity of climate change while also playing a game. The game is mischievous so get ready! Also, there is an instructions page before the game starts. Additionally, there is a place for you to learn how the ongoing pandemic (COVID-19) has affected the world. There are lots of interesting and very surprising facts and diagrams that we have created ourselves so make sure to look and read through that! Specifically, the diagrams and text compare aspects of the world before COVID-19 and during COVID-19. Last but not least, there is a tab for collection of games relating to climate change. These creative games are fun and are meant to motivate people.
How we built it
How we built this app is through a variety of steps. Firstly, we had to think of ideas to code for and what to include in our app. Secondly, we had to actually code. This step was of course, the most important step, so it took the longest. Over the days of the hackathon, we spent hours working together as a team and programming to make an app that can make a change in the world.
Challenges we ran into
Challenges we ran into along the way were ample. The progress of programming is never easy; a bug in your code can lead to potentially hours of searching for the source of the error. When we started coding for this app, we were first stuck because we had no idea what to code. Then, in order to resolve this issue, we looked around Google for global issues and noticed just how big the problem of climate change is. Thus, we, without a doubt, chose climate change and started working on what to include in our app. We decided that the best way to approach climate change is with a twist: we decided to fill the app with fun games and exciting quizzes to inspire people to join us in the battle against climate change. Over the days of the hackathon, we also sometimes had trouble coding. Sometimes, we as a team would have no idea how to continue. To resolve that, it required preservation, teamwork and resilience. We battled through the obstacles and spent long hours figuring out what to code and how to go about the app. All in all, though we definitely ran into loads of obstacles along the way, it was still a great learning experience.
Accomplishments that we're proud of
In the process of creating this app, there has been times where I feel proud of succeeding but there has also been times where I felt down for not being able to do something. However, I always made sure to know that failure brings you to success! Specifically, we are proud of the collection of games tab. In this tab, there are four games that allows people to interact with the app while also learning more about this issue. The first game is the fun fact generator. This can teach people about climate change. The second game is the save the earth game. In this game, the player have to try to get the image of the earth to touch the balls while also answering questions about what you can do to help. This is an excellent way to let the player learn about climate change while not feeling bored. The third game is the draw the earth game. This game is directed to children as they are allowed to have fun, be creative while learning. The last app is the catch the carbon dioxide game. This app is similar to the catch-the-mole game.
What we learned
From creating this app, we have learned that climate change is a much more urgent and serious issue than we thought it was. It is important to note that it is probably not only us who just recognised it, there are so much people out there that doesn't take climate change as seriously as it seems. From researching about climate change to incorporate into my fun fact generator to making games that motivates people to do something about climate change, it really upsets me to know that the climate is warming, animals are not living their desired life, plants' population are slowly declining, animals are going critically endangered and extinct but... so many people are not doing anything about it. Additionally, I have learned that many of the climate change activists has actually been exposed to this issue at a very young age. Therefore, by creating this app, I decided to add more components that is fun and exciting for children like catch the CO2 and draw the earth so that we can have more of activists in the near future.
What's next for Clean and Green
After creating this app, we, as a team, have decided to publish it to the internet so that the public can use it to learn more about climate change in a less boring and more exciting way. Instead of having facts thrown at them, they have the opportunity to learn through games and interact with the app. We are still trying to find more ways to get more people to use this app!
Built With
block-code | Clean and Green | We aim to motivate and inspire not only adults but also children to learn more and take part in the battle against climate change through exciting games, surprising facts and interesting quizzes. | ['Lisa Huang', 'Melissa Huang'] | ['Sustainability Track'] | ['block-code'] | 2 |
10,335 | 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'] | 3 |
10,335 | https://devpost.com/software/abc-guide-to-blacklivesmatter-and-black-history-in-the-us | Inspiration
We wanted to spread awareness about the Black Lives Matter movement, as it is very prevalent in our society today. On social media, there have been countless posts and Instagram stories of helpful information regarding the movement and black history in the United States. We wanted to find a way to consolidate the information we saw in a way to better educate people who may not have social media or are not checking the news as often; this site will be another medium for the public to learn about the importance of the Black Lives Matter movement, black history in the United States, and ways to support it today.
What it does
This is just a start to dismantling the systemic racism black people face in this country and is by no means all the information you would need to educate yourself on Black Lives Matter. We want people to be more aware of systemic racism, black history, and inspire them to do more research on being anti-racist. There is a short quiz after you read the ABC guide and more resources embedded to point people in the right direction to becoming better people.
How we built it
We built this using Html, CSS, and javascript.
Challenges we ran into
We were having trouble in the beginning with designating the demographic for this website. In addition, we struggled with the Javascript at first, but got better at it as we continued to make the website. We were also having trouble choosing a topic to use for the website because there are many important civil/human rights movements we should be fighting for.
Accomplishments that we're proud of
We are proud of completing our first hackathon!
What we learned
We learned how to make a quiz and a slideshow.
What's next for ABC Guide to #BlackLivesMatter and Black History in the US
We hope our website is an eye-opening experience for the users and that they will come away from the website a learned person.
Built With
css
glitch
html
javascript
Try it out
abc-guide-to-blm.glitch.me | ABC Guide to #BlackLivesMatter and Black History in the US | We created this website as a tool to educate others on aspect of the #BLackLivesMatter movement as well as other part so Black History and its significance in the US. | ['Emily Wu', 'Erika Wu'] | ['Education Track'] | ['css', 'glitch', 'html', 'javascript'] | 4 |
10,335 | https://devpost.com/software/students-tools-app | Create virtual study rooms!
Our student tools list
Create and update your profile.
Create a blog!
Create Interests Lists to find people in common!
Echo AR museum
Network with other students!
Join Study rooms with other students!
DEMO LINK
https://wngnelson.com/student_app/
(You can sign up creating a new account or use the provided demo account) user: demo123 |||| Password: 123
Inspiration
COVID 19 sets students apart and we cant learn alone in this world so we want to help students around the world to come together and get smarter. We build a tool to support the students learning based on our experiences as students during the pandemic.
What it does
This is a social platform for students of all ages to come together to share knowledge and learn new things. You have four main features: Student Blogs, Education Tools (Museum AR), Student Networking System, and Study Rooms.
How I built it
In the main App, we built the backend with PHP and MySQL while the front end with HTML, CSS, and javascript and the support of very useful frameworks such as Bootstrap and Semantic UI. On the AR museum app, we built it using the ReactJS framework and Echo AR API. It was difficult to use all those stacks but thanks to the guides provided by the mentors we could make it work.
Challenges I ran into
React js was a major difficulty when trying to implement Echo AR
Accomplishments that I'm proud of
We learned a great deal using ReactJs, being able to continue with the hackathon despite of having few members.
What I learned
Working with EchoAR. And lots of cool frameworks
What's next for Students Tools App
Build a mobile app extension. And more features like AR interview simulator!
We are very thankful for the mentors and organizers who made this hackathon possible! Thanks for the opportunity to learn and stretch our experience!
Built With
bootstrap
css3
echoar
font-awesome
html5
javascript
mysql
php
react
semanticui
Try it out
wngnelson.com
github.com
github.com | Students Tools App | You want to learn and socialize but this pandemic is preventing you to? Look no further than the Students Tools App. | ['Nelson Wang', 'Federico Liu Yang'] | ['Education Track', 'Best Use of echoAR', 'Open Water Accelerator Internship'] | ['bootstrap', 'css3', 'echoar', 'font-awesome', 'html5', 'javascript', 'mysql', 'php', 'react', 'semanticui'] | 5 |
10,335 | https://devpost.com/software/donatr | Inspiration
The heartbreaking stories of tragedy over the globe that receive minimal attention on social media or get comparatively less financial aid made our team realize that there is a disconnect between intent and action for donation due to lack of awareness and an easy way to connect to humanitarian NGOs . People are eager to donate but cannot easily find the right NGOs across the globe to donate to. Our team identified the need for a platform that connects a user to a cause they care for, a middle man for donations essentially. We saw the need for a platform that effectively connects users around the world to lists of humanitarian projects in different countries, enabling users to be more involved and aware.
Donatr makes donating easier as you are quickly connected to a legitimate charity that’s based anywhere in the world. Donatr not only raises awareness for these humanitarian issues, but also enables the global society to be more unified in helping the less privileged by allowing users to easily view necessary information about humanitarian NGOs and charities in any country in the world and giving them a link to go further to the NGOs site and donate to the cause.
What it does
Donatr connects a potential donor to NGOs and charities around the world with a click of a button. Based on the country selected by the user, Donatr matches the user with a list of legitimate charities or NGOs, along with essential information about each NGO such as their title, the theme of each project ( varies from education to inequality and even up to disaster relief), the link of the project’s donation site, and a summary of what the charity does and its mission. Donatr also aims to tackle the issue of unawareness and Societal ignorance by informing users about current pressing humanitarian issues around the world on our “current issues “ tab, giving them the information they need with an easy click of a button.
Donatr and Humanitarianism
Humanitarianism is the promotion of human welfare and our project does exactly that. Donatr helps to raise awareness and inform users of pressing humanitarian issues all over the world, and also links users to NGOs and charities that are actively working to help the people affected. The charities available on Donatr tackle a wide range of issues, varying from disaster relief to educational funding. We hope to impact the lives of individuals, families and entire communities by helping raise awareness and funds for whatever situation they’re in, regardless of where they are in the world.
Challenges faced
We had challenges with retrieving data from the globalgiving API, writing code that efficiently loops through each array of data for every return so that the user is only presented with necessary information. We also faced issues with styling a user interface that is Topic sensitive but also informative and easily navigable by the user.
In addition to this, we had issues using both HTML and JavaScript interchangeably to make the API call function work. Another challenge we faced dealt with with working around each others schedule. In order to make our website we needed to all be on a server at one time which was very challenging at times. On top of this, since most of our team was relatively new to HTML, CSS and JS we had to try our best to learn the language while simultaneously working on our project.
how we built it
We built the web app using an API called global giving. We used jquery call functions to retrieve data on the backend and then used for loops to loop through each array of data and return relevant information about each object in the array. We used html and css and bootstrap to style the front end and making the pages responsive and interactive. We implemented ISO country codes into our html so that the country selected by the user returns a value to the API call function that the API then used to retrieve data. We coded teach tab on the website using responsive css so that data Is displayed well. We also used links to relevant articles on the current issues tab so that the user can navigate to articles about pressing humanitarian topics.
Accomplishments that we are proud of
We are proud that we found a good API, Wrote a good API call function and effectively styled our user interface and ultimately developed a valuable product that can change lives around the world . Furthermore we developed this project in so little time, overcame challenges, and worked so effectively with new teammates ( we all just met each other ).
What we learned
Over the past few days our team learned a lot, some key learnings from this hackathon include:
Teamwork: We learned that when tackling such a huge problem in the small timeframe that we were provided it is crucial to optimize every member of the team in order to make the best product possible.
How to incorporate a new API: Our team came into this hackathon with little to no prior knowledge on API’s which made it extremely difficult for us to initially implement our API. Over the last few days however we learned how to not only implement an API but also how to output the information in a user friendly and attractive manner.
Coding in HTML, CSS and JS: Several members of our team started this hackathon with minimal experience in web development with HTML, CSS and JS. Over the past few days we were able to learn a lot about these languages and how to use them in order to make a responsive and user friendly website.
There is always something that will go wrong: One key lesson that everyone in our team learned is that despite how simple a task may seem something can always go wrong. This most notably occurred hours before this project was due when our home page stopped working. This taught our team to always prepare for something to go wrong so when it does we don’t make things even worse.
What's next for Donatr
We hope to make the website easier to use while increasing the amount of valuable info given to users. Donatr plans to add automated user matching and also a messaging function that would enables users to chat with NGO organizers on our website. Future features could be a chrome extension that accompanies the website. This extension would match users to a charity based on an article they’re viewing. We also hope to expand our platform and gain many users of all ages across the globe to join forces in this journey to global unity.
Built With
bootstrap
css3
globalgivingapi
html5
javascript
jquery
Try it out
github.com
matthewkanemy.github.io | Donatr | Donatr is a company that raises awareness and bridges the gap between potential donators and charities/ NGOs around the world. | ['Goziem Abuah', 'Ammar Faridi', 'Matthew Kanemy', 'Nabeel Alam', 'Samir Haque'] | ['Humanitarianism Track', 'Open Water Accelerator Internship'] | ['bootstrap', 'css3', 'globalgivingapi', 'html5', 'javascript', 'jquery'] | 6 |
10,335 | https://devpost.com/software/foodseek | Messaging Page Prototype
foodseek
Inspiration
Food is one of the most essential needs. It is like water or air. However, millions of people still do not have a reliable access to food. Right now the US is facing the highest unemployment rate since the great depression. 20 million Americans are unemployed. 37 million people in the US are food insecure. And 11 million of those are children.
There are many organizations that are trying to solve this problem however we wanted to make this personal so, we are proud to behold foodSeek.
Learnings
We learned to use Socket.IO, build a map page with a marker system, we learned how to use MongoDB as our backend database.
Technology
We built this web app using multiple different frameworks and libraries such as React.JS for our frontend, MongoDB and Express.JS for our backend, Socket.IO for our real time chat feature, React-Leaflet for our maps. We used JSONWebToken for our authentication.
Challenges
We live in all different time zones. A lot of us were new to Hackathons. One of us, Aakarsh did not know anything about web development, he came from a iOS background so he learnt everything as we went. A lot of the technology we used were challenging to use and implement.
Built With
css
express.js
html
javascript
jwt
mongodb
react
socket.io
Try it out
github.com
foodseek.herokuapp.com | foodSeek | Find a hero or be a hero. Help food-insecure people, or get help if you are in need. | ['Sean Cabahug', 'Aakarsh Agrawal', 'Hextanium Franklin'] | ['Humanitarianism Track'] | ['css', 'express.js', 'html', 'javascript', 'jwt', 'mongodb', 'react', 'socket.io'] | 7 |
10,335 | https://devpost.com/software/drinkable-a-solution-to-the-global-water-crisis | The following images are screenshots of the 3D CAD model of the prototype probe. The functions of each part are explained in the video.
Top view
Side view
Inspiration
Millions of people around the world suffer from a lack of sanitary water. This has caused a plethora of diseases to plague the people in these regions and has caused a delay in socio-economic development. It’s crucial that these individuals have access to identify whether the water they drink is clean. Families waste so much time finding water regardless of its purity level and consume it because they have no alternative. We have the obligation to help them strive for a greater tomorrow. We are DrinkABLE.
What it does
The drinkABLE solution utilizes a probe that is yet to be released. This probe would use various sensors and microscope cameras to identify the water quality values for various indicators, including Nitrate, dissolved oxygen, saturation, fecal coliform, pH, and the number of nitrates in ppm. These values can be acquired by citizens or health officials using our easy tutorial that was created using echoAR technology. After these values are attained, they will automatically run through our Java program to output a water quality percentage, which represents the quality of the water.
How we built it
DrinkAble was built with CAD software along with Java coding to create an algorithm that identifies the water quality index of any water source the sensor is placed into. The CAD software was used to create a probe that can be placed in water and will be able to sense different factors including nitrates, phosphates, temperature, and more. The probe does this by having an assortment of sensors that are activated when the probe is placed in the water. Along with the sensors that are attempting to detect bacteria, temperature, and other factors there is also a microscope that will be tied to an AI in the future allowing for easier detection of different substances in the water. Assuming that a user manual would need to be included in our product we decided to use echoAR to create a manual that would be virtually accessed on the sensor itself. Videos walking through the use of the sensor were pre-recorded and are linked to markers on the sensor itself allowing the user to access the manual modules at any time by using the phone’s camera to look at QR codes on the sensor itself. Lastly, the Java code was written in the Netbeans IDE.
Challenges we ran into
A major challenge we fest was the implementation of echoAR. For example, echoAR struggled to recognize our logo as a marker image to display a video on because it did not have enough key points. We also had to make changes to the concept of a virtual manual altogether when we realized that coding for interaction between virtual AR objects generated by echoAR requires a lot more than a basic understanding of Unity.
Accomplishments that we're proud of
We are proud of the fact that we have a genuine application for this product. According to UNICEF, 768 million people use unclean water. This product has the chance to change the scope of the water crisis.
What we learned
Throughout the entire process, we learned so many cool skills that will be invaluable for our future. One of the many skills that we learned was the ability to create AR through echoAR. When we created our echoAR tutorial, we immediately realized the benefits of using this platform. echoAR development allows for much faster and simple ways to build, manage, and eventually deliver our product. We hope to use this echoAR technology in our future endeavors.
In addition, another key skill we learned was the development of CAD models. We wanted to create a 3D visual that supplemented our project idea, to enable effective communication of our project. After countless iterations across many days, we were finally able to perfect a probe design that maximized the efficiency of its functions.
What's next for DrinkABLE - A Solution To The Global Water Crisis
The application of DrinkABLE relies on the functionality of a custom probe, which can output the values of different indicators for the purity of the water. While we did create a 3D CAD model of the probe prototype, due to the financial, time, and physical constraints (COVID), we were, unfortunately, unable to create a physical product. In the future, we hope to create a working prototype of this probe, which utilizes attachments of various other sensors.
Beyond that, we would also like to add additional indicators for the quality of water. Currently, we have 5 working indicators, including pH, nitrate, DO, BOD, etc. We hope to include indicators beyond that like phosphate and temperature of the water, which will allow for a more comprehensive review of the water. We also hope to translate our echoAR tutorial for multiple languages in order to make the product available for more people.
Built With
echo
echoar
java
morphi
Try it out
github.com
karthikkaru02.wixsite.com | DrinkABLE | More than 785 million people still don't have access to safe water. We have created an application that uses echoAR technology and water quality calculation to detect the quality of a body of water. | ['Zach Vazhekatt', 'Karthik Karuppiah', 'Arya Agiwal'] | ['Humanitarianism Track'] | ['echo', 'echoar', 'java', 'morphi'] | 8 |
10,335 | https://devpost.com/software/billcitizen-6g3o8f | This year has been one for the history books, driven by the passion and activism of America's youth. This coming Presidential and Congressional election cycle may be one of the most crucial in the history of the United States, and will be determined in part by a new generation of leaders. Despite this, the majority of voter-age citizens under the age of 24 don't ever make it to the polls, and even more youth are uninformed about the political issues at hand. Viewed in the context of income, education, and race, inequality is a major cause of voter disengagement and apathy. Through BillCitizen, we hope to change that.
This hackathon was a major learning for our team. Even before we dove into technical development, we needed to know what features youth needed but couldn't access. We looked at other legislative bill trackers, and aimed to fill the gaps where they fell short. Instead of presenting users with complex, obscure legal jargon, BillCitizen aims to simplify the text of bills, increasing accessibility and comprehension. Available as a mobile app, BillCitizen allows anyone with a smartphone to become civically engaged from the comfort of their own home, commute, or workplace.
Another challenge we faced was creating an intuitive, streamlined UI. Government legislative trackers contain a dizzying array of menus and pop-ups crammed into a website clearly designed for desktop. How could we present the most important information visually to the user? By taking cues from social media, we created a feed-like interface users can scroll through, communicating bill sponsors, topic areas, and passage through Congress at a glance.
On the technical side, our team adapted to using Node.js and TypeScript to create BillCitizen. Within five days, we were able to grow from novices to creating a fully-fledged app, complete with pristine functionality. To begin, we decided on one of the most popular framework for mobile application, React Native. Utilizing the power of React Native, we were able to develop a highly functional app with advance graphical interfaces while exporting on both iOS and Android Platforms. To ensure quality and speed of deployment, we set up a Continuous Integration and Continuous Deployment Pipeline with GitHub Actions. This pipeline allowed us to quickly test and build each iteration of the application automatically. Instead of using class components, we decided to use functional components and other functionalities that was added in the newer version of React to stay up to date with the technology. Through the use of functional components and React Hooks released in version 16.8, our project remains easy to maintain and modular through all iterations and improvement.
Light, clean, simple UI highlights the eye-catching title allowing for easy browsing. All important information, such as the bill number, dates, and bill description are easily accessible, but none of it is in the way. Color is used very sparingly, drawing the eye to pieces of information that might help the user navigate which bills they want to add, i.e. committee and sponsor. In fact, this information is color-coded - the sponsor is blue for democrat or red for republican and the committee colors have more subtle relations to their use (i.e. different greens are used for homeland security, financial services, and natural resources to denote protection, money, and the environment respectively). The tracker is easy to follow - the user knows whether or not the bill is active and where along the chain of government it is within a second of glancing over the clean colored circles.
Creating BillCitizen was a wonderful learning experience for our team; whether it be innovating beyond existing technologies, intuitive design, or working with an entirely new library and language, we grew as much from creating BillCitizen as we hope our users will from using it.
In the future, we hope to expand BillCitizen to state and local legislation, allowing citizens to impact the communities they live in. We also hope to create national and geographic "Trending" section for bills garnering a large amount of attention, to draw attention to headlining civic issues.
We can't wait to see an informed generation enacting political change, and we believe BillCitizen is the path to that brighter future.
Built With
node.js
react-native
typescript
Try it out
github.com | BillCitizen | BillCitizen is an easy way to navigate, discover, and understand the legislation that shapes our society. With a clean interface, our government proceedings become accessible to everyone. | ['Spring Chenjp', 'Nathan Apfel', 'Claire Yang', 'Jason Zhang', 'George Zhang', 'Rian Alam'] | ['Inequality Track'] | ['node.js', 'react-native', 'typescript'] | 9 |
10,335 | https://devpost.com/software/panacea-x0dqc7 | Panacea Logo
Landing page
Inspiration
The World Health Organization reported that in 2017, half of the world lacked access to healthcare, and a large portion of those who do have access to healthcare have trouble paying for it. We knew one of the biggest problems facing the world today was the disparity in care between the rich and poor, and we set out to amend that.
What it does
Panacea facilitates the connection between patients with low access to healthcare and doctors. Using their logins, doctors can communicate efficiently with patients through video chat, and patients can request consultation from doctors. Patients are prioritized from their status, ranging from annual checkups to urgent care necessary.
How we built it
Using the "create-react-app' from ReactJS to bootstrap our apps, we then integrated the Firebase service from Google to handle logins and submissions. Using Firestore and Firebase Auth, we were able to facilitate communication between the app for patients and the app for doctors. Past that, styling was done using .css files, and Panacea was hosted using Netlify off of the GitHub repositories.
Challenges we ran into
We had little experience with websites, so it took us all a long time to get acclimated to new languages related to front-end and back-end development. Because of that, almost every component of the website took us a long time to figure out- in particular, image uploading and profile creation took a few days each.
Furthermore, we integrated a video call component, and integrating the API (as well as others) had a large learning curve.
Accomplishments that we're proud of
We gained lots of experience in both front and back-end development, specifically creating and storing user profiles.
We also added Firebase effectively to a website, and effectively embedded a video call system.
What we learned
All five of us learned how to use React, Nodejs, HTML, CSS, and Google Firebase. Our prior experience consisted only of Java (AP Computer Science A) and some basic HTML and CSS.
We also learned that databases (image uploads especially) and integrating video calls are difficult to work with, especially with our lack of experience.
What's next for Panacea
Panacea will need to be distributed to doctors, as Panacea depends on doctors to be available to provide services to patients.
Panacea will also need to integrate more security and features before it can be fully and effectively pushed out to the world.
Furthermore, Panacea (perhaps in conjunction with charities such as The Red Cross) will place tablets with internet connection in low-income areas so that they can access Panacea's services. To do this, we must also use an Andriod or iOS app.
Built With
css3
firebase
html
node.js
npm
opentok
react
Try it out
panaceapatient.netlify.app
github.com
htwdoctorapp.netlify.app
github.com | Panacea | Panacea is a nonprofit healthcare app for areas with lesser access to healthcare professionals that provides free consultation to patients. | ['Kesav Kosana'] | ['Inequality Track'] | ['css3', 'firebase', 'html', 'node.js', 'npm', 'opentok', 'react'] | 10 |
10,335 | https://devpost.com/software/equify-7v60hq | -----------------------------------------------------------------------------------------------------------------------------------------------------
MOTIVATION
Diversity is one of the largest problems in the technological industry. Despite making up almost 30% of Americans, Blacks and Hispanics only represent 9.2% of the tech industry. There are 50% percent less African Americans and Hispanics in tech, compared to the rest of the private sector. African Americans make up about 13% of America’s population, yet there are 0 African American CEOs in the top 50 tech companies.
Due to the lack of diversity in the demographics exposed to tech. opportunities, the true merit of humanity isn’t reflected on a global stage. Equify aims to reform the education system and leverage technological development by promoting brilliant minds in technology, not demographic stigmas.
WHAT IT DOES
Equify is a nonprofit organization that aims to support minority groups in their STEM journeys. For Equify, success is inspiring young minds to pursue a passion for STEM and to give everybody an equal opportunity. We believe that with our society’s growing reliance on those in the STEM field, we should create an environment that nurtures and encourages their unbridled curiosities. Diversity is arguably one of the largest problems in the technological industry. Equify aims to resolve this issue by providing high school students of all racial and gender groups with a technologically developed opportunity document customized to their needs.
We hope to give those who have been marginalized, an opportunity that they can seize and capitalize on. We believe, everybody should have an equal chance to experience STEM and to decide whether or not they want to be a part of it. Through our technologically developed opportunity documents, we hope to create an environment that enables young learners all over the globe to immerse themselves in STEM and give them a taste of what the world has in store for them.
The Equify application is a python based software that directs custom opportunity documents to high school students in hopes of diversifying the technological industry. To complete the form students are directed to the Equify incorporations main page which can be found at
http://equifyint.me/
. Upon arriving at the document users are encouraged to write the forum to receive their custom document. The forum consists of the user’s first name, last name, grade, and interest. Users have the choice of picking 5 different interest categories which include: AI, quantum computing, VR, IoT, and Blockchain. Upon completing the Equify Technology Opportunity form, a document will be sent in approximately 5 minutes.
DOCUMENT STRUCTURE
The Equify opportunity document is broken down into 6 components: internships, courses, hackathons, connections, external programs, and more resources. The form is organized in a user-friendly interface so you can easily access the various components. The Internships section consists of potential Internships a user can apply to based on their entered interest. In addition to internships, the document consists of a course section that provides users with high-quality and credible introductory services. Another element on the form is the Hackathons section. The hackathon section is comprised of three of the biggest upcoming hackathons. Next is the connection section which consists of emails of the Equify employees who have a solid background in the users’ topic of interest. The last two components on the document are external programs and more resources which both contain more information about the user’s field of interest and study.
HOW WE BUILT IT
The Equify website encompasses Equifies aspirations, mission, and most importantly the application. To build the application several APIs and frameworks were utilized. The backend of the application consisted of web scraping and pdf creation/deployment. We made use of the BeautifulSoup4, PyPDF3, and the Standard libraries to accomplish backend duties. For the frontend, we used HTML, CSS, and Javascript. For the form, Equify used the 123Form builder framework along with PHP. Once you arrive at the website go to the Document section and press Get Started. This will redirect the user or in this case redirect you to the 123builder form. The form will ask the user to enter some information about themselves to help create the best-customized opportunity document for them. Acquired information includes first name, last name, grade, and interest. Users have the choice of picking 5 different interest categories which include: AI, quantum computing, VR, IoT, and Blockchain. The opportunity is sent through a python program that renders every 5 minutes to check for unread form messages. Upon reading a form message python renders a customized pdf with the form data.
CHALLENGES
Among the challenges, Equify faces in promoting equality in the tech industry are not keeping the end-user in mind. We aim to promote diversity in tech by providing opportunities to minority demographics. However, we often failed to contextualize the methods and procedures required to achieve our fundamental objective. Among the repercussions of our product, we risked supplementing the issues we aim to solve → If people of power and influence avail our product more than our targeted demographics, the disproportionate ratios in the tech industry will perpetuate. To circumvent this devastating contingency, we aim to invest time and effort into directing our product to demographically minority communities. We aim to provide incentives such as sponsorship deals, giveaways, and coupons to predominantly minority institutions. In addition, we will sponsor parts of the private sector that consist of greater minority employee percentages. We additionally aim to partner with lead civil rights associations such as the National Association of the Advancement of Colored People (NAACP), which may provide corporate and other forms of support. Another challenge we faced was the limited scope of our web scraper. To mitigate this, we aim to partner with technology organizations and prestigious universities.
WHAT WE LEARNED
One of the biggest obstacles that we faced was our inexperience using the git version control CLI tool. This was a source of great frustration on our end as the communication between the backend and the frontend tended to be disorganized and messy. We had to research many novel concepts regarding the tool including a .gitignore file as well as only creating commits on major changes. There was one instance where there was a file not yet upstream which unfortunately had been overwritten, and thus all progress was lost. As a result, we have learned to be mindful of the power and importance that git has in a development environment.
WHAT'S NEXT FOR EQUIFY
We think that we have a solid concept and useful product that will help increase equality in the world of tech. Moving forward we will consider adding more functionality to the equality algorithm such as increasing the number of parameters for more personalization and optimizing the algorithm to decrease wait times. Promotion of the service through social media platforms such as LinkedIn, Instagram, and Facebook will give us the exposure we need to get it off the ground. Also, in order to test the service, we will conduct some preliminary trials with groups of aspiring techies representative of the demographics we are attempting to help kickstart.
Built With
bootstrap
css
html
javascript
pdf24-javascript-pdf
php
python
smtp
ssl
Try it out
equifyint.me
github.com
github.com | Equify | Diversity is arguably one of the largest problems in the technological industry. Equify aims to resolve this issue by providing minorities with a technologically developed opportunity document. | ['Matthew Biniam', 'Jason Wei'] | ['Inequality Track'] | ['bootstrap', 'css', 'html', 'javascript', 'pdf24-javascript-pdf', 'php', 'python', 'smtp', 'ssl'] | 11 |
10,335 | https://devpost.com/software/masked | masked logo
no mask
regular disposable mask
circular disposable mask
washable cloth mask
Inspiration
With the current outbreak of COVID-19, health professionals urge citizens to wear masks to help mitigate the spread of the coronavirus. Many countries and states in the United States have implemented measures and laws require the use of facial coverings and masks in public areas. Furthermore, many businesses require masks. However, especially during this time, many of those businesses lack the resources to thoroughly enforce mask policies at all times. That's where Masked comes in.
What it does
Masked is a real-time face covering and mask detection system that ensures that masks and facial coverings are being worn at all times. Masked uses an array of cameras (if available) and machine learning models to instantly detect if an individual is not wearing a mask. Within milliseconds, the individual is notified and reminds all citizens to respect mask and facial covering policies and laws. As a result, businesses and public locations, as well as everyday citizens, are able to live safely knowing that everyone is masked.
How I built it
Masked uses a TensorFlow machine learning model based in Python to identify whether an individual is wearing a mask or not. The TensorFlow training model was extensively trained on a variety of scenarios and angles to ensure optimal and precise accuracy while preserving detection speed and delay.
Within milliseconds, frames are analyzed through OpenCV and sent to the TensorFlow model to identify the location of a face within the frame as well as whether masks are being worn or not. The analyzed data is sent to a Node.js frontend to display the result in a simplistic and easy to understand user format.
If available, multiple video sources can be allotted within a singular Node.js frontend to monitor data from all available cameras in one easy-to-monitor user frontend.
Challenges I ran into
Analyzing raw video proved to be difficult in that the video source tended to be rather lagging, thus producing delayed and often incorrect identifications. As a result, I decided to use individuals frames, captured through OpenCV, in rapid succession as this allowed for the TensorFlow model to maximize identification efficiency while maximizing the reduction of both lag and end-user identification times.
Analysis speed within the TensorFlow machine learning model was a challenge in that both lag and processing time had to be accounted for, especially within the entire identification process. I solved this problem by compressing frames through specific video codecs as well as streamlining the TensorFlow model to focus on optimization.
Accomplishments that I'm proud of
Within the allotted time scope for the hackathon, I was not able to extensively train the TensorFlow machine learning model to the entire extent in which I intended to. However, with less than 750 sample images, we were able to achieve over 98.7% accuracy on mask identification, demonstrating the efficiency and robustness of our model.
The angled identification model for determining side profiles was also a large undertaking that involved developing my own library to modify testing data to fit this method of identification. I'm happy with the overall accuracy for the angle detection within side profiling and off-center identification.
What I learned
I learned how to connect both Python, as the backend, and Node.js, as the frontend, to fully get the best out of both worlds, with Python for machine learning and Node for routing and the end-user frontend. I also learned how to work with TensorFlow and OpenCV Computer Vision to develop models that can label individual frames with such high accuracy.
What's next for Masked
I would like to improve the identification of multiple individuals within the scope of the OpenCV frames. As the current version of Masked can identify multiple individuals within a singular frame, the accuracy decreases slightly when involving various degrees of movement from multiple isolated and connected individuals.
I also want to improve end-user and frontend experience. Due to the time I spent developing the TensorFlow model and identification system itself, the frontend itself is quite bare and can be fully flushed out with infrastructural features, such as live notifications and recording capabilities, within a matter of time.
Built With
javascript
machine-learning
node.js
opencv
python
Try it out
github.com | Masked | Real-time face covering and mask detection using machine learning | ['Rohit Rajan'] | ['Health Track'] | ['javascript', 'machine-learning', 'node.js', 'opencv', 'python'] | 12 |
10,335 | https://devpost.com/software/maskon-zimdsc | Inspiration
It’s the question on every student’s and parent’s mind:
will schools reopen?
And if they do,
will it be safe?
Due to the COVID-19 pandemic, wearing masks has become a necessity to protect our community and families. It significantly reduces transmission rates, so it is mandated to wear these masks at school.
However, this is a significant adjustment, and will be
difficult for younger students to correctly wear a mask on their own for many hours in the day
. In addition,
teachers are more susceptible to the virus than the kids
, so if they need to fix masks for students, it puts
them
at risk. This should not be the case, and so I created the mobile application,
MaskON
to safety teach and enforce the use of masks at school.
My project falls under the Health Track
.
What it does
The app can be run on any mobile device and can be placed outside classrooms/halls/buildings. The student simply faces the app and the
app will detect if the student is wearing the mask correctly
. If they are, a “PERFECT” popup will occur. If the student is wearing it incorrectly, it will prompt a
popup with instructions on how to fix it
. The app can recognize when a person comes into focus and will automatically start analyzing the mask. This takes 2-3 seconds for the app to detect this.
Because this is all automatic,
no touching is needed
. This will prevent any possible transmission which
sets it apart
from other apps that require users to click buttons. In addition, the teacher can set an interval for how often to analyze to speed up the process. This makes it possible to analyze a whole class effortlessly.
How I built it
I used
javascript
and
react-native
to build the app. I also used the
Expo IDE Client
to test my application on my mobile device. The image recognition was aided by the
Clarifai image recognition API
, and I built a custom model to teach the computer to recognize proper mask wearing etiquette. I had to input json metadata for many example images that I used such as “MOVE MASK UP TO COVER NOSE COMPLETELY”, “PERFECT!”, and “TIGHTEN GAPS ON THE SIDES!” when I was training the model.
Challenges I ran into
Training the model to recognize these nuances was difficult and took hours of training before it got above the desired accuracy. But the most difficult challenge was making this all
touch free
. Initially, I was planning to use
Google API Speech Recognition
to prompt the app to begin analyzing when users spoke to the app. Students should not touch the device (if they did, it would defeat the whole purpose of reducing transmission at schools). But this took longer for the app to recognize and is not compatible for younger children who are still having trouble speaking clearly / are in a loud environment like a busy hallway.
So I changed my idea
. I instead set interval timers and used the
Clarifai Api to call the function to start analyzing when it saw a child, person, or adult in focus
. I found this to be much more efficient and compatible for all students and environments.
Accomplishments that I'm proud of
I wasn’t sure if the model was going to get accurate enough in time, but I was pleasantly surprised! It detects small nuances and mistakes people make when wearing masks like gaps near ears not not pulling the mask far up enough. In addition, I was happy that I was able to have the app analyze the student every time a student came into focus. This reduces transmission and speeds up the process.
What I learned
I am still pretty new to react-native, so I learned a lot about the functionalities through this project. I used more complex functions than I did in the past, but by troubleshooting, I not only came up with a functional application, but a stronger understanding of the language. I also researched more about UI to make this comprehensive for younger students to be able to use.
What's next for MaskON
In the future, this could be used in places other than schools that require masks (shopping centers, workplaces, gyms…). It is a
universal application geared to all users
. But, for the students, I would like to make more animations/sound effects to make the app more engaging and fun for younger students. After all, this is a big adjustment for them, so my goal is to
keep the community safe while making sure that the kids get comfortable with wearing masks, too
.
Also, I would like the app to send texts to the teacher informing him/her if any students entered without wearing the mask correctly. This streamlines the monitoring process and gives the teacher a record in case any contact tracing is required potentially.
All in all, I envision this app successfully preventing transmission and protecting the communities nationwide to prevent another spike in cases this fall
.
Built With
clarifai
expo.io
javascript
react
react-native
Try it out
github.com | MaskON | AI Platform that checks to see if students are wearing their masks correctly and instructs them how to fix it prior to entering a room or a building | ['Nandita Kathiresan'] | ['Health Track', 'Open Water Accelerator Internship'] | ['clarifai', 'expo.io', 'javascript', 'react', 'react-native'] | 13 |
10,335 | https://devpost.com/software/cov-care | Page shows requests of patient on site
Patient Details page
Login page
Register a new patient
Homescreen page of website
Login page for patient on app
Various Sign up options for patients with different medical background
Patient can update his/her medical parameters here
Sign up form for requesting hospitals
Inspiration
As the number of patients of COVID-19 continues to increase at an unpredictable rate, the number of beds in hospitals and centers set up by the government fall short of the requirement by a huge margin. The condition is so severe that the reports indicating the incidents of patients being kept on streets have surfaced recently. All patients are not required to be kept in specialized care units. Home quarantine and isolation with proper guidelines can be implemented in these less severe cases. This project is created to bridge the gap between the medical service provider and the patient.
What it does
Specialized care is expensive and not required by everyone, this will provide an inexpensive alternative to conventional methods.
-The extreme pressure on hospital beds will be reduced and more beds will be available to those in actual need.
-Early and efficient intervention and identification of suspected patients will help reduce the spreading of this highly contagious infection.
This service has two interfaces, which we will individually deal with in the subsequent sections:
Patient service side
The patients can install the android app and create an account. There is a choice between three categories which were already mentioned in the target user section. The patient then creates an account with the hospital of their choice. If the hospital is available then the patient can log in the app using their phone number as password, which can be changed later. The patient (or an active relative or nurse) can update the medical parameters viz, BP, Temperature, SPO2, Respiratory Rate, and AVPU value. The values entered are timely updated in the database and are monitored by the hospital on the website.
Moreover, each parameter has a set of information about it for instance, What is blood pressure?, How do we measure it? and other guidelines to use the instrument along with links to online tutorials to do so.
Hospital service side
Hospitals can register on the website by filling the sign-up form and can approve the registration of patients.
The dashboard of every hospital displays a list of patients by sorting them on the basis of their MEWS, displaying the more severe patients above and then the less severe once. The doctors can click on the specific patient account to see more details regarding his medical condition. Seeing the MEWS score and SPO2 values the doctors can decide which patients to immediately shift to the hospital.
How we built it
As mentioned above, we have two sides of this project i.e. app and the website and all the technical details are mentioned below:
Tech stack used:
-Java: the android app has been written in the Java language with the help of Android Studio.
-Django: the website is written using Django as the backend framework.
-Bootstrap: the frontend of the website is written using bootstrap.
-Firebase: Firebase has been used as the cloud backend service for the app.
-PostgreSQL: the database management system of the website.
Challenges we ran into
COVCare, as a service, can act as a bridge between medical practitioners and the patients. In order to accomplish this, this service requires active participation of the administration, hospitals and the patients. Fabrication of such a system was a major issue. We agreed upon a system of mobile application and a website to best suit our purpose.
We had to contact doctors to get real time information regarding the guidelines and monitoring protocols implementable currently.
Accomplishments that we're proud of
Certain features of the application that we are proud of and which make this project stand out are:
-This project not only helps the patient to connect with the doctors but also makes it easy for the doctors to analyze and monitor their patients.
-This project is very user friendly, the patients are provided with ample information so as to measure the parameters, they are provided with video links as well. The patients are reminded through notifications to fill in the data.
-No unnecessary information has been asked and the forms are kept informationally tight.
What we learned
This project requires the implementation of Django, BOOTSTRAP, and Java. We learned a great deal about the implementation of these languages to suit our requirements. Several bugs we encountered helped us to engage more with the project. Along with these technical skills we also acquainted ourselves with medical details regarding the coronavirus monitoring, classification of patients in L1, L2, L3 as well as people qualifying for quarantine. This project also motivated us to learn basic skills like Prioritization (80-20 Pareto Principle), team-work, video-making, and a variety of soft skills.
What's next for COV Care
Several essential features can be implemented to make this service more useful. Some of the various features we could not include due to time constraints-
-The application can be expanded to accommodate an information portal rendering important and correct information regarding COVID-19 to dispel all the fake news regarding it.
-A Patient-Doctor chat feature can be introduced to enable direct communication between doctor and patient.
-Notification service can be implemented to notify the worsening condition of a patient to the doctor.
-General improvement of layout and aesthetics.
-Some additional features to make the application easier to use.
-Expansion of the website to allow hospitals to monitor L2 patients in wards and to be notified when the patient needs to be moved to ICU.
Built With
android
android-studio
bootstrap
django
firebase
pyrebase
Try it out
github.com
praxiitr2.herokuapp.com
github.com | COVCare | A COVID Quarantine and Isolation Home Healthcare Service | ['Akanksha Verma', 'Ishan Rawat', 'Sarthak Sharma', 'Prakhar Gupta'] | ['Health Track', 'Open Water Accelerator Internship'] | ['android', 'android-studio', 'bootstrap', 'django', 'firebase', 'pyrebase'] | 14 |
10,335 | https://devpost.com/software/digidoctor | Inspiration
Last week I, Saathvik Somujayabalan, was looking at my news feed on my web browser, and this one article caught my eye: Half Of World Lacks Access To Basic Health Care. It also happened to be that my friend, Pratyush Kore, told me about the Hack the World Hackathon. We both wanted to create an application of some sort to at least help address the problem of basic healthcare for all if not solving it. At first, we were both skeptical about registering for this as we knew close to nothing about developing programs or Hackathons in general as neither of us has attended one before. This still didn't bother us and we registered for Hack the World with a
clear mission in mind
: DigiDoctor for all!
What it does
The user uploads an image of their medical condition that is visible on skin (ex. Acne, hairy cell leukemia) and that image is then fed into our Machine Learning Model (ML). The ML model recognizes the condition and returns to the user its best prediction as to what the condition is.
How we built it
First, we needed to learn all the basics of Machine Learning, Deep Learning, and Neural Networks so we had a foundation to build upon
Then, The data collection for our ML model took up most of our time as we needed a lot of pictures for each of the 16 medical conditions and the 2 control groups (healthy feet, and normal/healthy skin).
We then used the Python libraries TensorFlow and Keras as a platform to build and train our ML model
Finally, we did fine-tunings like adding more data/data augmentation, writing a script to resize all our pictures, and more.
Unfortunately, we only finished the ML model on Friday hence we did not enough time to finish our website to use it on so we turned in our incomplete website and the ML model demo via Command Prompt/Terminal
Challenges we ran into
ML model did not have sufficient data to output a decent accuracy rate (fixed this by implementing data augmentation)
ML model didn't recognize some pictures as they were different sizes (fixed this by writing a script that automatically resized pictures that were fed in)
Accomplishments that we're proud of
We knew absolutely nothing about Machine Learning on Saturday, but now we know exactly how to collect data, train a model, and deploy it!
We were also very proud of ourselves when we tested our ML model for the first time and it correctly predicted the medical condition that we fed in!
What we learned
We learned all the basics of machine learning that was necessary to make DigiDoctor alive
The use of Python APIs to communicate between our Machine Learning Model and website
We also learned how to use Adobe XD to design an appealing website
What's next for DigiDoctor
Integrate this Convolutional Neural Network Model into an app with a GUI to make it easier to use
Add Info pages for each medical condition so when the Machine Learning Model identifies the condition, it will automatically take the user to an Info Page where it will list possible home remedies, recommends if a doctor's attention is necessary, and explain the disease in understandable terms.
Increase ease of access
Expand our list of medical conditions so more can be identified
Constantly adding new and fresh data that our model could use to get better at predicting conditions
Built With
base64
json
keras
post-api
python
requests
rest-api
system
tensorflow
Try it out
github.com | DigiDoctor | Using the power of Machine Learning to expand the reach of healthcare. | ['Saathvik Somujayabalan', 'Pratyush Kore'] | [] | ['base64', 'json', 'keras', 'post-api', 'python', 'requests', 'rest-api', 'system', 'tensorflow'] | 15 |
10,335 | https://devpost.com/software/cubba | Main Picture
Why?
How It Works
Setup?
What Happens After Detection?
Who doesn't like memes, right?
Inspiration
We all deal with potholes on a daily basis considering we all need to use the roads of the cities we live in and for sure, we all hate them. Major Californian cities such as San Diego, San Jose, San Francisco and Los Angeles has over
%64
of their roads in mediocre and damages conditions. United States of America is estimated to have approximately
55 million potholes
. A comprehensive study made in 2018 by AAA shows that over the past five years around
16 million drivers
across the States have suffered damage from potholes.
The pervasive potholes in question wreak havoc on drivers' car suspensions and cause a considerable amount of traffic issues. Well, that is a problem we need to fix.
On average, a little over
3 million drivers
in the US suffer pothole related damage every year. This can be anything, from popping a tire, to bending a rim, to blowing out a shock absorber. The direct financial costs of fixing these damages adds up to nearly
120 billion dollars
for America's drivers. Even worse than a financial annoyance, a pothole can cause various problems and crashes for even the most experienced drivers. Of approximately
33,000 traffic deaths
a year, as many as one third are attributed to poor road conditions like potholes. These losses must be avoidable.
So, what are our options? Can't we just build new roads? Building roads is insanely expensive and they are not the easiest thing to manage in a big, crowded city. Designing better foundations for our roads featuring improved drainage wouldn't decrease the frequency of potholes, on top of that these improved foundations are so much more expensive to build. Maintaining America's large four million mile road system and enabling our level of travel would be a serious burden to have. The American society of civil engineers who know a thing or two about roads, estimates that the cost of maintaining United States' roads properly is between
150 billion
and
200 billion dollars
a year for the next
50 years
. But the States' budget is limited with only
60 billion dollars
. Now I may have only taken math for the humanities in high school, but that seems a few bucks short of what roads need.
What it does
Raspberry pi records a video footagw while you are driving your car. Then, the recorded video in question will be converted to images. Image classification will decide if image has pothole or not.
How I built it
Raspberry Pi (or any small computer that can fit in front of car) and camera. When you start your car, the power goes to the raspberry pi and it automatically runs a python script that records the video.
Challenges I ran into
Raspberry Pi is compact but not as powerful as needed (at least before raspi4).
What I learned
Well, if you do want the pictures of potholes or road disorders ahead, maybe you shouldn't (you definitely shouldn't) put a camera in front of your mom's car.
Even though image classification is not a hard code to write, it still requires a decent amount of study.
What's next for CUBBA
A decent change of name, it's in Turkish.
Better dataset and images
Object detection
GPS and stats
a lot of stats
...
Built With
camera
python
raspberry-pi
tensorflow
Try it out
github.com
cubba.ml | CUBBA | Dedect potholes with raspberry pi and camera! | ['Umut YILDIRIM'] | [] | ['camera', 'python', 'raspberry-pi', 'tensorflow'] | 16 |
10,335 | https://devpost.com/software/education-track | Inspiration
When we were learning Spanish, we were struggling. We were not able to understand how to conjugate verbs. We thought that there had to be an easy way to conjugate verbs on the fly. We looked and looked, but did could not yield any results. Now that we are able to code, we thought to our selves, we should save other students from suffering. And that is what we hope to accomplish.
What it does
We have two things, one is a java file, and the other is an Android App. Both essentially do the same thing. You give the program a verb and what form you want to conjugate in, and it displays the conjugated verb.
How I built it
I built the app using Android Studio.
Challenges I ran into
There were a couple of challenges that I ran into. The first was that I wanted to make an IOS app, but that requires you to have a MacBook. The other challenge that I ran into, was that I did not know how to make an app, which leads me to the accomplishments.
Accomplishments that I'm proud of
Something that I am proud of, is that I was able to make a functioning app in less than 7 days.
What I learned
I learned a couple of things. First, how to make an app. Second, how to code individual things within the app.
What's next for Education Track
As of now, the app has only three tenses: Past, Present, and the Future. In the future, we plan to add the rest of the tenses and make the app more user friendly.
Built With
android-studio
java
Try it out
github.com
github.com | Education Track | As a team, we have created a program and an app that will help students learning Spanish how to conjugate verbs. | ['Vatsal Chandel', 'Vibhav Peri', 'Atri Banerjee'] | [] | ['android-studio', 'java'] | 17 |
10,335 | 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'] | 18 |
10,335 | https://devpost.com/software/minus-s0ak6o | GIF
GIF (Click Play) Trip Tracker - Locates your position, starts the trip, and starts tracking distance, time and emissions.
GIF
GIF (Click Play) Offsetting - Offset your emissions from any trip where you can learn more about the organization and pay.
GIF
GIF (Click Play) Profile Statistics - View all past trips and visualize your emissions daily, or through a monthly view.
GIF
GIF (Click Play) Community Leaderboards - Compete against friends and the global community to offset the most carbon emissions!
The Emission Offset Screen - See various environmental initiatives to offset your emissions.
The Profile Screen - See graphs that depict your emissions through a week or month.
The Post Trip Details Screen - View a map of your trip and all related info.
The Community Screen - View daily, weekly, monthly, and all time stats amongst friends and the global community.
Join Minus. Become a better you.
Nfjfnffn
Built With
dart
flutter
google-maps | Minus | Everyday travels are now an opportunity to give back. MINUS tracks your carbon emissions everyday and gives you the tools to create impactful change and see your ranking amongst the global community. | ['Philip Choi', 'Mashrur Chowdhury', 'Moe S'] | [] | ['dart', 'flutter', 'google-maps'] | 19 |
10,335 | https://devpost.com/software/scor | Users can create goals and edit their goals toward their preference.
Inspiration
Our inspiration came from the Fitbit app. In the Fitbit app, there is a leaderboard section that ranks everyone based on their steps. This leaderboard ranks the user's friends. From personal experience we have seen that this goal oriented approach and a competitive environment helps individuals complete their goals more often. The inspiration for the website came from Apple! We included javascript as well as html and css for stylistic technique. We created an app that is inspired from our daily lives. As a student in the United States, I have a hard time of breaking habits. We all formed together and created an app that helps break these habits and compete with the community.
What it does
Scor is a community goals app, that allows people to create goals where in their friends and other members of the community can join and partake in the activity. Users can create goals and also join goals made by other users; users can set their location, target, desired score, as well as a description, to motivate themselves to complete the goal! Users earn points for creating and completing goals, and their points and rank is then updated in our leaderboard screen! The leaderboard is represented from people across the world. The unique aspect of the app is that you can join goals together and the goals will be shown in your home view screen. The app functions as a way to break bad habits and has features that is unique to the app. All the data in our app is stored in Firebase, such as Password, email, name, age. This way, it makes it easier for the user to log in and create an account, without a hassle.
How we built it
The website was built using Visual Studio Code and Xcode. Our team is comfortable using Xcode and VSCode as it has a useful feature of live-sharing and iOS development tools. Live-Sharing is an extension provided within VsCode that allowed us to collaborate with each other. This is how we contributed together as we wrote the program together and collaborated using Face-time. The website was built using html, css, and Javascript. We implemented Dart and Swift code for our app. We used Dart code as our main frontend and we later added Swift with Firebase for our backend.
Challenges we ran into
Some UI issues we faced was to find a good way to be able to display information in a scrollable fashion. We eventually learned how to implement SingleChildScrollViews. Which is just a fancy way to say a horizontal and vertical scroll view. With this we were able to display all of our information in a scrollable fashion that was easy to understand and navigate. Another major issue that we faced with backend was that Firebase is only able to store primitive data types such as booleans, strings, integers, floating point numbers and so on. However, do the complex nature of our app, we needed to be able to store custom classes inside of each other. To overcome this issue, we used data structures such as dictionaries (maps) and arrays to store all of our info without using custom classes.
Accomplishments that we're proud of
Some of the Accomplishments that we are proud of are that we learned how to successfully read, write manipulate data from Firebase. This accomplishment goes further than just this app and we can use this on future projects. As we started with this hackathon, we had no prior knowledge with Firebase; however, we gained experienced as we went through completing our hack. Additionally, we gained extensive knowledge with swift and flutter as a team with our focus of the app.
What we learned
We learned how to incorporate Firebase database in our code as backend, which can help us in our future. We learned how to use scroll views, which can help us efficiently display information in our apps. We also learned how to register, login and manipulate user data using firebase. Lastly, we learned how to sort and read our data from firebase efficiently.
What's next for Scor
The next step for Scor is it making it more user friendly for a larger user base. Additionally, the next step is to add an integrated messaging system that allows users to message each other across the world within the app. Finally, we want to advertise our app and make a difference.
Built With
css
dart
firebase
html
java
javascript
swift
Try it out
github.com
atharva404.github.io | Scor | Goals! Every day people form bad habits! These habits can change with our app! | ['Charan Vengatesh', 'Atharva Gupta', 'Arjun Nair'] | [] | ['css', 'dart', 'firebase', 'html', 'java', 'javascript', 'swift'] | 20 |
10,335 | https://devpost.com/software/child-blog | Our blog site and chatbot
Inspiration
Because of the COVID-19, people aren't around to deal with child health. Now, child health is arising in a huge issue, with not many people to solve this problem. My team and I decided to make a simple solution - to give solutions to everyone's concerns.
What it does
This website is a blog site where you can post any question and we'll answer it. The website also has a built-in chatbot to answer your questions and have a good time with you!
How we built it
We used Django web development and Python to run the chatbot, and we used HTML, CSS, and JavaScript to create the blog site.
Challenges we ran into
We realized how difficult Django web development was. Also, some of the servers were down, so we had trouble and ended up rushing the project.
Accomplishments that we're proud of
We finally found a way to run the chatbot and the website, despite the troubles we ran into.
What we learned
We learned about Django, Advanced Python, and web development.
What's next for Child Blog
We might add deployment for the website.
Built With
css
django
html
javascript
python
Try it out
35.226.79.185 | KidsClinic | A blog site with a built-in chatbot to answer any question you have about your child's needs. | ['Shivanshu Prakash', 'Hussaini Muhammad Auwal'] | [] | ['css', 'django', 'html', 'javascript', 'python'] | 21 |
10,335 | https://devpost.com/software/a-star-learning | screenshot
Inspiration
As an avid learner, I myself have used multiple online learning sites, but when it comes to Computer Science, there seems to be a lack of motivation in learning more CS concepts for younger students. Therefore, I want to create a new platform that make high level courses more engaging, interactive, and fun.
What it does
The application covers 4 main search algorithms right now, and the goal is for the student to write the search algorithms in the context of a Pacman game. The Pacman simulation on the right will run based on what code you type on the left. This way, the user can easily interact between the code, the output, and the simulation.
How I built it
You can see in the IDE portion, the editor highlights, indents, and has line numbers like a regular IDE, and this is implemented using the Scintilla library and it’s Python wraparound QScintilla, which is also used in popular coding text editors such as Notepad++. The GUI for the application uses PyQT and the QScintilla library works with PyQT to create the IDE.
Challenges I ran into
I faced some time constraint problem because learning a new framework and designing UI took quite a long time.
Accomplishments that I'm proud of
Being able to apply search algorithms into a fun game like Pacman is extremely fun. The thing that I’m most proud of is my whole hackathon journey. I was able to push to my limit to surpass a lot of struggles while making this application.
What I learned
I learned how to work under pressure and the way to learning new framework fast. Therefore, it will be beneficial for me in the long run.
What's next for A-Star Learning
I plan to turn this project into a startup, where I can scale up A-Star and collaborate with other partners, companies, designers to improve the interface, course selection, and platform.
Built With
pyqt
python
qsciscintilla | A-Star Learning | I want to build the next Coursera, Edx, Code.org, all combined | ['Duong Tung Pham'] | [] | ['pyqt', 'python', 'qsciscintilla'] | 22 |
10,335 | https://devpost.com/software/corona-go-08dxpg | In these crazy times, I often find myself lacking motivation to do go outside and explore the world. However, I believe it is a perfect time to enjoy nature as we are all trapped inside, dormant and unmoving. When using Corona Go, an app developed using Android Studio - Java, people can click on different locations to learn about nature and animals living around those regions. Using echoAR, people with compatible phones can see the animals in real life in life scale. For example, clicking on this link using an iPhone will result in a black bear showing up on your floor! (
https://go.echoar.xyz/YQYz
). With Corona Go (named after Pokemon Go), people will start enjoying nature again! faced many challenges using the Google Maps API and it was also my first finished app developed using Android Studio. I learned a lot including how to layout and constraint things in Relative Layout, using Google Maps, and echoAR.
Built With
android
echoar
java | Corona Go | A way to entice people to go outside and explore the world during these crazy times. | ['Jason Zhu'] | [] | ['android', 'echoar', 'java'] | 23 |
10,335 | https://devpost.com/software/kinematic-schematic | Menu
Solving from known values
Solving a generic Earth (Vf = Vi + at) equation
Inspiration
General physics and its fundamental concepts came naturally to us. But our teacher's constant shortcuts and incoherent lectures confused many of our peers. And since physics is a discipline that builds on core concepts, students with slight misunderstandings in kinematics would be completely lost when we covered rotation and torque. Combining a one-variable solving algorithm with a basic Unity UI, we hope that our program can help new physics students like ourselves gain a cohesive understanding of kinematic applications.
What it does
Under the "solve" window in our desktop application, students can choose one of five equations in the drop-down menu, fill in known values with any unit, and the program will solve for the unknown value. For students who don't know where to begin with their program, by clicking the "not sure" icon, the computer automatically chooses appropriate equations and solves for any unknowns. In addition, if any error occurs in calculation, whether insufficient data, invalid results, etc, the UI will alert the student, prompting them to re-enter their quantities.
How we built it
The base program was written in Java, the language we were most comfortable with. One method called "solveEquation" in the Algebra class forms the basis of our program. It uses a binary tree object to store expressions based on their level of precedence, then recursively moves known values to the other side until only the unknown value is left. When we realized that we still had time, we decided to create a more intuitive UI in Unity. After porting to C#, designing the UI, and creating supplementary elements like music and art, the "Kinematic Schematic" app was born.
Challenges we ran into
This project included the most ambitious and demanding program we had even built, so we overcame challenges from all directions. We initially envisioned our code to be specific to kinematic equations, with several methods simply using the predefined formulas manipulated to solve a specific value. But we felt that this idea was not only simple and tedious, but could not be applied for future programs (more on that later). Therefore, we decided to make a general equation solver based on recursive binary trees. Our structure got complicated quickly, and it took several hours to catch bugs entangled within this method. Also, since we were unfamiliar with both Unity and C#, porting and designing was foreign (that text in the General chat at 4:33 am was from us btw). Gradually however, we became more familiar with Unity UI, and through dedication and a little procrastination-realization rush, we eventually built and tested our app.
Accomplishments that we're proud of
The most challenging part of our program was implementing a generic equation solver in Java. It stretched the limits of our Java knowledge by using complicated recursion, inheritance, and polymorphism. However, the sense of accomplishment when we finally compiled and ran our program successfully was the height of this event.
What we learned
Despite adapting to new interfaces such as C# and Unity, the most important "thing" we learned was in terms of planning. Before we began the hackathon, we created a master plan that featured many backgrounds, music tracks, features, and UI. As we discovered that programming and designing took longer than anticipated, we had to drastically simplify our design. Our ambitions were unfocused, leading to painful compromises along the way. For future projects, we will plan a precise, focused solution to ensure that we make our quota entirely, but also open room for future improvement.
What's next for Kinematic Schematic
One of our most painful sacrifices we had to make to simplify our plans was scrapping a lab feature on the menu. This would open up a PhET-like simulation in which students can switch between 1-D and 2-D motion, and adjust features of launch such as the angle, initial velocity, gravity, etc. Then, when clicking play, a ball would shoot out of a cannon, which graphs of displacement, velocity, and acceleration vs. time would highlight the ball's trajectory. After inputting enough values, the program would solve and display the unknowns. Although we knew such a simulation would facilitate both a physical understanding and the core scientific principle of experimentation, we decided to focus on the solve function, and implement this feature in the future.
Built With
c#
unity
Try it out
github.com | Kinematic Schematic | Our program is designed to help students grasp fundamental physics concepts in a more cohesive and adaptable education. | ['Hisham Bhatti', 'Rishit Khare'] | [] | ['c#', 'unity'] | 24 |
10,335 | https://devpost.com/software/dyslexia-trainer | Page to learn the alphabets and how they sound
Page to practice spelling
Start page that greets user
Page to customize user profile and goals
Inspiration
We wanted to help people with Dyslexia as one of our friends suffered from it when he was a child
What it does
The app is a way for dyslexic kids to learn alphabets and wording. The app helps kids by teaching them how to pronounce alphabets and trains them to spell sight words.
How I built it
We built this app using python. All the code was written in python and used the tkinter library to create the UI. The audio was downloaded online from Freesound and implemented using the winsound library.
Challenges I ran into
Everytime we closed the app, the app forgot all the user's progress and information. To solve the issue we utilized a library called pickle, which on command creates a pickle file that can store information offline. Now when we reopen the app it collects the info from the pickle file and displays it, like a game save.
Accomplishments that I'm proud of
We are just proud to have finished our first hackathon thanks to synhacks. This really opened our eyes to the wonders of coding and all the good we can accomplish through coding
What We learned
Through creating this app, we learned about tkinter and how to make UIs in python. Some of our members in the group never have used python before. This was a new chapter for them in coding as they got more and more experienced in how to use python to create complex apps using more and more advanced functions within the python language.
What's next for Dyslexia Trainer
Whats next for our dyslexia trainer app is to keep building on it so we can publish it as an android app on the google play store since the play store has so many users and we will try to get the app in many hands as possible . We also want to keep building on the vocabulary and words used in the app so it doesn't get repetitive and also add more advanced features such the app being able to send you notifications of when to start practicing and the app giving you medals and awards for doing a good job.
Built With
python
tkinter
Try it out
github.com | Dyslexia Trainer | I was struck with the realization that there are no free apps to help young people with dyslexia. So I creating this app was to help young people suffering from Dyslexia. | ['Partha Malladi', 'Saikiran Emandi', 'Rei Zhu', 'rhymg', 'Anand Gupta', 'Seb-4'] | [] | ['python', 'tkinter'] | 25 |
10,335 | https://devpost.com/software/retroaid | Inspiration
The care system is broken with elderly across the world are facing a crisis, with many going into care at exorbitant prices. For many who do not require hospitalisation, care is one of the only options, but in turn they lose out on independence and turn homes simply into an extension of a hospital.
Many elderly patients often face neurodegenerative conditions which limit their ability to work independently and autonomously, and often encounter memory loss. This disability has forced them into spending their valuable time constrained, often away from their loved ones. However, the
elderly (especially those with neurodegenerative diseases) are often manipulated and the issues
they face can be described in three domains:
• Daily Life (e.g. Independently staying at home )
• Safety and Security (e.g. Scam Callers)
• Communication and Connection (e.g. remote carer)
My idea began after hearing and seeing the difficulties carers (family and relatives) taking care of my later great grandmother faced every day. They struggled spending long hours doing arduous tasks, which often negatively impacted the mental and physical well-being spending hours of their time for basic tasks. For many there is not simple solution which provides carers with an easier life, whilst helping independence for the elderly.
What it does
• Scammer Call Detection: Detects keywords in a phone call which are associated with scam and phishing calls notifying users if the call is believed to be a scam.
• Pedometer: Tracks and displays steps to the user for physical well-being
• Fall Detection: Detects if the user has fallen and calls/texts carers with GPS location
• Therapy Bot: Offers chatting and mood relief with a digital bot
How I built it
MIT App Inventor: I used the application to build a simple version of the app which is easily accessible for all. I designed the App UI using inkscape, keeping the target audience of the elderly in mind (e.g. colours, sizes etc.)
Challenges I ran into
Offline Data Storage: I wanted to keep everything offline, this meant streamlining a lot features. Originally the app would make the user sign up before hand and store on the cloud. Instead I had to alter the design to move from using Firebase to TinyDB to store user information (e.g. contacts)
Usability: Originally, my app UI offered a more modern take on the app but after collecting user data regarding the usability I decided it was best to focus on the elderly target market.
Accomplishments that I'm proud of
Client Feedback: I tested it out with my family and they found the app very user-friendly and very useful.
App UI: Normally, I do not physically build UI, instead using native features but this was one of the first time I designed parts for apps myself
App Development: My experience normally resides in other fields such as designing products etc. This was the first standalone app which I have created. This was also one of my first ever hackathons !
What I learned
User-Centred Design: App UI and features need to be optimised for the target market in order to be usable and adopted.
App Development: Core development of mobile apps to help fix a certain gap in the market
What's next for RetroAid
Updated version with:
• Larger Scamword library
• More accurate fall detection
• AI-Powered Chatbot
Built With
gps
mit-app-inventor
tiny-db
Try it out
drive.google.com | RetroAid | Mobile Remote Care App for the Elderly | [] | [] | ['gps', 'mit-app-inventor', 'tiny-db'] | 26 |
10,335 | https://devpost.com/software/fastaid-8kbgjr | Inspiration
Currently, the urban centers of India are inundated with patients due to the ongoing coronavirus pandemic. This also causes people to not visit hospitals and clinics in the fear of contracting the virus, even when it would be in their better interests to do so.
What it does
FastAid is a web app where patients can request help and people can sign up to be volunteers. Patients in need of care can use the website to put out a call for help. They enter their contact information and their ailment. The web app then collects their location and notifies volunteers within a 500-meter radius. The volunteer and patient can then communicate on the best course of action, which can range from a call to a visitation.
How I built it
The backend along with the database was set up on Firebase. It provided real-time database access enhancing the user experience on our website. Javascript was mainly used to iterate through the database and store information back into the tables. HTML pages were created for the front end service along with streaming using CSS. The pages were bootstrapped to make it mobile user friendly. Ajax, a jQuery library, was used to make the website asynchronous with its data. The Google Maps API was used to track the current location of the user and to send help without any hassle to the volunteer. The Twilio API send texts messages to the volunteer to notify the volunteer of the patient's distress call. These pages were served on Node JS in order to integrate the API's and Javascript pages.
Challenges I ran into
The first issue was the restricted functionality of the web app since the Google map API was not compatible with Mozilla Firefox. Secondly, there were cross-platform issues, resulting in the program being unable to run on Mac OS, which we solved. We solved this by. Lastly a last minute issue that we could not resolve was upon hosting the site onto Heroku via git, our Twilio account details were rotated - this was because posting account confidentials via plain text is not allowed . This is to be fixed by storing the Auth SId in an .env file and making GitHub ignore said .env.
Accomplishments that I'm proud of
We worked across different platforms which was arduous at first, but later proved to be a learning moment since we were still able to work effectively. Also, our teammates were spread across different timezones and so we are proud to have overcome that hurdle. Having not worked with firebase before we were glad to have a successful crack at it.
What I learned
This was our first time working with Firebase and node.js. On this project we gained valuable web app dev skills that we did not previously possess. We learned just how easily we can improve the world around us with simple ideas.
What's next for FastAid
We're looking to embed a Google maps link in the text message sent to the volunteer to easily guide them to the patient's location. Furthermore, we'd like to identify keywords within our patient's requests so as to better educate and choose our volunteers. Also, we'd like to add a feedback form to improve the experience for the patients and promote better service.
Built With
ajax
bootstrap
firebase
jquery
maps
node.js
twilio
Try it out
fast-aid.imfast.io | FastAid | Coronavirus has hospitals all over the world over capacity. We sought to make a web app wherein users could come into contact with medical professionals in their vicinity thus not risking infection. | ['Aryan Shetty', 'Rishabh Shetty', 'Saurav Nayak'] | [] | ['ajax', 'bootstrap', 'firebase', 'jquery', 'maps', 'node.js', 'twilio'] | 27 |
10,335 | https://devpost.com/software/openbinder | Open Book home screen
Inspiration
We wanted to create a way for students to easily share notes and other documents among themselves to facilitate a collaborative learning environment.
What it does
Students can create an account and use it to upload and tag their electronically taken notes to share them with other users of the site. The search feature allows them to search note files by their tags, titles, and uploaders to find the document or documents they are looking for. Thus, a student struggling with a particular topic can search for notes addressing that topic uploaded by other students in their own class to help them study.
How we built it
Open Book uses Flask for the backend with CSS, HTML, and JavaScript for the frontend. Additionally, database functionality uses SQLite.
Challenges we ran into
Putting together a hackathon project while also working full time presented a challenge for us as it was difficult to get to everything done that we wanted to. However we came up with an excellent features list to continue to improve our project later.
Accomplishments that we're proud of
Before this project neither of us had any experience building web apps, so we are extremely proud of all that we learned to put this together. Additionally, this was Raghav's first hackathon so it was a great experience for that.
What we learned
We had very little experience with frontend development, so we both got a lot of practice with HTML and CSS that we didn't previously have. One specific feature that required a lot of research was developing the accordions.
What's next for Open Book
We would like to continue to expand the features list of Open Book by adding ways to organize notes by classes as well as create a chat function for students in common classes to communicate.
Built With
css
flask
html
javascript
jinja
python
sqlalchemy
sqlite
Try it out
github.com | Open Book | an online note sharing platform that facilitates collaboration and organization for students | ['Claire Konz', 'raghav198 Malik'] | [] | ['css', 'flask', 'html', 'javascript', 'jinja', 'python', 'sqlalchemy', 'sqlite'] | 28 |
10,335 | https://devpost.com/software/math-infinite-kl26qz | Inspiration
The inspiration for creating this project is from everyday life. When I and my classmate suffering the math anxiety during times tests, when we struggling by a mathematical formula that couldn’t ever be memorized or when we want to do more exercises before the math test but couldn't find enough practice. I came up with this idea of making such a project that contains relatively specific math training question, users will not have a time limit to answer the questions and a formula quiz that can always be taken repeatedly to reinforce memorization of that.
What it does
This Math Infinite project includes several main math sections which are trigonometric problem practices, geometry problem practices, complex numbers problem practice, and equations solving sections. That math section contains specific questions to let users improve their math sill. The users’ using pattern is to first choose the math section they want to focus on, after that, they will be brought to math quizzes that practice their skill in that particular section. There are ten questions each quiz, and they only get points when they answer the questions correctly in the first attempt. This math practice pattern I have created help doing with math anxiety, by making this no time-limited, without the stress of time, students are able to work on their critical thinking skills and take different approaches to math problems in a way that suits their style of problem-solving. And all my questions are no fixed steps needed, users can develop imagination and creativity and open up their mathematical thinking, to use as many methods as possible to solve problems. In addition, this program helps reinforce students’ memorization skills but most importantly helps them critically solve complex and abstract math problems through a deeper understanding of math concepts.
How I built it
First, I find out this issue I want to exert effort to help, then I set up the goals I want to accomplish within my code.
After that, I came up with the project's name and started working on design my code, I came up with this idea of making different types of math questions that allow users to study with some particular patterns.
My next step is to come up and search for valid math problems that I can put in my project.
The last step is to combine this question with codes that can run successfully for users to apply.
Challenges I ran into
Challenges I have run into are I was so struggling on making my code less redundant since some math practice questions would have a similar concept. Other challenges I have faced is my slow speed coding affect the total number of math problem I wanted to create in the first place. And my limited coding experience limits me to make my project more functional.
Accomplishments that I'm proud of
Accomplishments that I'm proud of are seeing my project come together and achieved what I have pictured in mind at the beginning.
What I learned
During this week, I have absorbed so much about technology. I got the chance to get started with Unity and learned many other technical skills. Within my own project, I have improved my skill in C# language and my math ability.
What's next for Math Infinite
My next step of this Math Infinite is to create as many types of math as possible to make my project more functionally. In addition, I am planning to add several motivation sentences or games to make the user more interested in math.
Built With
c# | Math Infinite | a bunch of different types of math questions that allows you to practice and study. | ['Qiying Zhang'] | [] | ['c#'] | 29 |
10,335 | https://devpost.com/software/carbon-footprint-calculator-thna9c | Inspiration
We were inspired to work on this project because we wanted to provide an easy way for people to understand and get guidance on how to decrease their negative impacts on the environment.
What it does
Takes various inputs at the start to use them late for calculating the carbon footprint.
How we built it
We built it using the app platform
Xamarin
.
Challenges we ran into
Learning to use the framework, and time constraints.
Accomplishments that we're proud of
Getting a good start on the project and making a good starting page.
What we learned
We learned how to use the various parts of the framework to accomplish what we wanted to.
What's next for Carbon Footprint Calculator
We are hoping to be able to make it be able to actually do what its supposed to, and then add the capability for it to be able to make suggestions to the user on how to improve their carbon footprint.
Built With
c#
json
microcharts
xamarin
Try it out
github.com | Carbon Footprint Calculator App | Helps people understand their impact on the environment and provides suggestions on how to decrease it | ['Corban Thompson', 'Andrew Lana', 'Sam DePoule'] | [] | ['c#', 'json', 'microcharts', 'xamarin'] | 30 |
10,335 | https://devpost.com/software/inphasepdf-a-pdf-viewer-which-has-smart-features-6st2wn | Showing Meanings
Showing history of the words You searched earlier
Features
Showing saved words
View window
INSPIRATION
What's new with the pdf readers these home stuck days? The usage has increased manyfolds which requires the existing pdf handlers to gear up with tools enhancing experience. So we came up with this "inPhasePDF" DESKTOP APPLICATION which has smart features .
WHAT'S NEW ?
Along with basic features , the additional features which makes it a unique pdf viewer includes :
1)The virtual dictionary to fetch meanings even if your computer is not connected to the internet .
2) Save the meaning query for future reference and pop them when required.
3) The history of every search and store activity is listed and can be revisited.
4) Make subjective and brief notes and refer them anytime you feel like.
HOW WE BUILT IT ?
We have used PyQt5 library for the GUI and python for the backend . For the dictionary , we have used a Dataset containing 50k words and their meanings.It can show you meanings even if you are not connected to internet . If it doesn't find the word in the dataset then it uses PyDictionary API -which of course requires internet connection- which shows you the meaning and update dataset with the words and meanings which were not present . So in the future , we won't need internet connection to search those words . This is the best advantage over Adobe Acrobat reader, which always needs internet for dictionary purpose.
We have used HTML5 , CSS3 and bootstrap to create the website .
CHALLENGES WE RAN INTO
We couldn't find free of cost dictionary API for the dictionary's purpose , so we have used PyDictionary. If we get contributions then we can use premium API for the dictionary as a result of which can get the meaning of every word we search for while reading a pdf .
ACCOMPLISHMENTS THAT WE ARE PROUD OF
Around 80+ users have already downloaded the application from our website and have given positive reviews and suggestions . They all are happy with this unique pdf viewer and are also using it frequently . This is a boom for the students in the education field because it has smart features that are not present in any pdf viewer till now .
WHAT WE LEARNED
Front end design of a website , GUI development using PyQt5
WHAT'S NEXT FOR inPhasePDF
Planning to implement search meanings and add notes using Voice of the user rather than typing using python libraries .
Built With
bootstrap
css3
html
html5
pydictionary
pyqt5
python
Try it out
inphasepdf.epizy.com | inPhasePDF - A PDF viewer which has smart features | A windows application PDF viewer which has virtual dictionary , creating digital notes and referring it when needed and saving the words with their meanings for future refference.- inPhasePDF viewer | ['SIBASHIS KHADANGA', 'Pritish Samal', 'Arpita Mohapatra'] | [] | ['bootstrap', 'css3', 'html', 'html5', 'pydictionary', 'pyqt5', 'python'] | 31 |
10,335 | https://devpost.com/software/biomear | Login Page
Marketplace
Biome
EchoAR metadata
EchoAR dashboard
Awareness Hub using EchoAR
Inspiration
Most of us know about Global Warming and Climate Change but feel that its more of a problem for future whereas the effects can be seen now. Problems such as air pollution and ocean level rising are becoming more dangerous day by day and we need to understand the urgency of it. I was looking to find a way to present this urgency to the people which inspired me to create this app.
What it does
With this one of a kind game you can setup your Biome only to watch it die off after some time, maybe days or maybe week.
This game utilizes real world data for different environment factors(only air quality right now) in your location to affect your in game assets. So for example the trees that you are planting in the game may die soon if Air quality in your area is bad. The worse the Air quality the more harsh are the effects.
But that is not it, this part just tell you the problem. What now ?
We have a marketplace that lets you make a change in 3 ways :
1) You can buy a relief pack which will make your biome safe for a month (or more)
2) You can choose to volunteer in affiliated NGOs and they will give you a coupon code which you can redeem for in game coins
3) You can share the app with your friends and spread awareness for Climate Change
The coins that you collect in the game can not only be used towards the game. Maybe you don't really care about the game, so we have something more for you ! You can exchange these coins for goodies.
BUT THAT IS NOT IT EITHER!!!
We have a leader board that shows the top earners and spenders on our platform.
Whatever your reason may be, you can use this app to make a difference.
And if you are still wondering why there is a need for any of this , we have one more feature !! Awareness Hub. Using EchoAR and AR foundation we present molecules of some common pollutants floating around in Augmented Reality , by clicking on the spheres above them you can start a video which is directly streamed from echoAR. We can change these videos to latest information whenever required without any need to change the code due to the use of echoAR.
How We built it
I used firebase for authentication and registration. We used Vuforia sdk to create the AR and Biome experience in the game. For findings user's location I used ipstack api and for air quality index , weatherbit was used. We used echoAR and its metadata feature to build the awareness feature.
Challenges We ran into
This being my first solo hack presented a lot of issues, some technical ones being :
1) I had to do everything via script for echoAR as the models would instantiate in real time, floating effect especially took some time
2) For the game connecting health bar with AQI and giving player the ability to set up their biome took a lot of effort.
3) Unity messes up transform when prefabs are scaled down and instantiated and it took a lot of effort to fix it.
Accomplishments that I'm proud of
This was my first solo hack and I completed it and made something unique which can be good for the world.
What We learned
I learned scripting for moving instantiated prefabs, floating effect and fixing scaling issues.
What's next for BiomeAR
In future I will be adding many more environmental conditions where your biome will be affected by weather , may drown with rising sea level etc.
For further incentives I will be adding animals that you can play with in your Biome.
This app can be huge in terms of bringing in volunteers for NGOs as well as for fund raising both of which have been adversely affected by this pandemic.
The future is to present this to corporations and NGOs which are working in this field because they can help with this app and we can scale it towards something that makes a huge impact.
Built With
arfoundation
c#
echoar
ipstack
shaderlab
unity
vuforia
weatherbit
Try it out
github.com | BiomeAR | An app that helps people understand the urgency of a need to change and gives them a way to do so. | ['Akash Jha'] | [] | ['arfoundation', 'c#', 'echoar', 'ipstack', 'shaderlab', 'unity', 'vuforia', 'weatherbit'] | 32 |
10,335 | https://devpost.com/software/breaddy-and-buttery | login
posts
maps
stats
Inspiration
We saw that many of our local restaurants (such as Sweet Tomatoes) were struggling in this new COVID-19 economy, which has caused many restaurants to close and lose business. We created a solution. We made a platform where the community and restaurants can join together to support not only local restaurants but also benefiting charities.
What it does
With Bread and Butter, users are able to create posts, invite friends, and make orders at their favorite restaurants, knowing that they will be supporting charities as well because every time a purchase is made, a certain designated amount goes to their selected charities for social causes or to help business owners. Users can even take the app on the go and analyze receipts and different transactions which will directly support various charities in their community. Furthermore, we have a restaurant recommender page built in where users can enter the type of restaurant they want to go to (ex: I want to go to a restaurant with good food) and it will show them all of the restaurants in their area which match this description.
From the restaurant's side of things, the restaurants can see the statistics about how many orders have been placed, total sales and total amount of money raised.
How we built it
Our team used a variety of tools and frameworks to build Bread and Butter. We built our front end, which is the dynamic website that serves as a tool for restaurants and users to communicate with our app, in Flask, Python and Bootstrap (HTML, CSS, JavaScript and SASS). As for our backend, we used various APIs such as the stripe API for the checkout gateway, Google Cloud Vision API for the OCR, and AWS S3 for the database and connection between mobile and web app. The restaurant recommended utilized various packages (such as NLTK, numpy, pandas and more) while the map in the dashboard utilized the folium library. For the iOS app, we utilized swift for the frontend, the Vision library for the OCR and SQLAlchemy for database management.
Challenges we ran into
Due to the complexity of our project, we encountered a lot of difficulties with our website, machine learning model and rest API backend.
One of the biggest challenges we had to face was dealing with the mobile app's integration with the web app. We utilized Firebase at the beginning of the hackathon but we noticed that it wasn't working out which is why we switched to AWS S3 database instead. Although we had much less experience dealing with AWS S3, we new it was the right move to make. Also, it was difficult to create the dashboard in the website (mainly because we were facing issues integrating plotly.express for the bar charts) for the restaurants due to a lack of time so we ended up working it out.
Accomplishments that we are proud of
Considering that we went into this hackathon with low expectations (as we couldn't imagine ourselves building a working website, ios app and backend in less than one week), we were really proud of our final result. We stepped up to the challenge and pushed our limits, and we were pleasantly surprised at our end result. Although there were a lot of features that we didn't get to adding, we ended up creating a product that incorporated a lot of the original ideas. Creating a working app that united the community under the goal of supporting restaurants and charities was truly fulfilling and satisfying.
What we learned
This hackathon was extremely educational for us as we learned a lot (about both coding and teamwork)! We learned how to utilize the AWS S3 Database as well as mastering the use of Flask for different needs throughout the app. We also learned a lot about Natural Language Processing and Topic Modelling in Python from building the restaurant recommender AI. And although the mobile app was a challenge, we ended up getting it to work as well, fomenting our skills in Swift. Not only did we learn a lot about programming, we also learned how to work together in a high pressured environment. Since this was a virtual hackathon, we had a lot of difficulty at the start keeping track of each other and what we were supposed to do. But then, we started assigning roles, keeping track of our project through Asana and Smartsheet (tools that none of us had experience with) and regularly talking with each other on discord. After that, our project began flowing much more smoothly and by the end, we were able to complete it!
What's next for Bread and Butter
Bread and Butter will soon contact many restaurants around the area that might seek assistance, allowing them to survive and continue. It will help various charities such as The Innocence Project, George Floyd Memorial Fund, or even the Alameda Food County Bank. Future implementations will also contain more personalized messages and additions curated for the user's spending habits and activities.
Built With
amazon-web-services
flask
google-cloud
html5
javascript
python
sql-alchemy
swift
Try it out
github.com | Breaddy and Buttery | Eating bread as smooth as butter | ['Kevin Pradjinata', 'David Tan'] | [] | ['amazon-web-services', 'flask', 'google-cloud', 'html5', 'javascript', 'python', 'sql-alchemy', 'swift'] | 33 |
10,335 | https://devpost.com/software/one-life | Inspiration
Dear Judges, in order to gain a better understanding of our project and its strong connection with civic engagement, we would love for you to gloss over page 6 of this WHO report :)
https://apps.who.int/iris/bitstream/handle/10665/252071/WHO-MSD-MER-16.6-eng.pdf;jsessionid=BF40C14B3E1CB512CFC9C8F12D998DAE?sequence=1
Problem
Suicide and depression are major national public health issues in countries such as the United States. Just between 1999 and 2014, the average, adjusted for age, annual U.S. suicide rate increased by a staggering 24%. Furthermore, according to NIH, an estimated 17.3 million adults in the United States have at least one major depressive episode. This number represents 7.1% of all U.S. adults. These shocking statistics is what makes suicide and depression a major public health issue across the nation, and it demands a solution to effectively address the problem at this very moment.
According to research from the WHO, Preventing suicide can have a positive impact on communities by:
Promoting health and well-being of community members
Empowering communities to identify and facilitate interventions
Building capacity of local health-care providers and other gatekeepers
However, the problem is that most people lack the preparation and confidence to truly help someone with suicidal tendencies and make a difference.
Civic Engagement and Community Importance
Governments all across the world need to take a lead in suicide prevention in order to develop and implement comprehensive multi-sectoral national suicide prevention strategies.
However, research from the WHO suggests that variations in the suicide rates within countries indicate that top-down suicide prevention must go hand-in-hand with local bottom-up processes. Hence, communities play an essential role in suicide prevention when they provide bridges between community needs, national policies and evidence-based interventions that are adapted to local circumstances.
Prevention of suicide cannot be accomplished by one person or institution alone; it requires support from the whole community. The community contribution is essential to any national suicide prevention strategy. Communities can reduce risk and reinforce protective factors by providing social support to vulnerable individuals, engaging in follow-up care, raising awareness, fighting stigma and supporting those bereaved by suicide.
More importantly, communities can help by giving individuals a sense of belonging. It is essential to understand that the community itself is best placed to identify local needs and priorities.
Confronting and helping someone dealing with these challenging problems can be difficult and daunting that not many have experience with. Thus, we aimed to improve community knowledge on the topic of suicide and depression, and to prepare members incase they ever need to help someone through a tough time.
Solution
Therefore, we decided to create OneLife, a health web application aimed at equipping community members with the necessary tools to help people in their community suffering from suicidal or depressive thoughts. Furthermore, with our get help and forum features, our application fosters a positive and supportive community, which is the key to preventing suicides.
What it does
OneLife supports people with the tools to help someone in their community suffering from depression and suicidal thoughts, using machine learning to identify suicidal and depressive thoughts in messages, which can be pasted into a text box or uploaded through an image. Through the get help page, the community member or the suicidal person can find local therapists through one quick press of a button. The forum page fosters a collaborative and supportive community for community members to engage in conversations, as well as communicate together with therapists.
OneLife also has a twitter bot which identifies suicidal and depressive messages from social media chats, and sends consoling messages to victims with the National Suicide Prevention Hotline.
How I built it
In order to build our web application and twitter bot, we used:
Flask
HTML/CSS/JS
Python
Google Cloud: Places and Maps API
Machine learning: Bayesian classifier
Data scraping from various subreddits to create a custom dataset
Socket.io for the real time chat
Twitter API for the twitter bot
Challenges I ran into
The first big challenge we ran into was how to find an appropriate dataset in order to train our machine learning model. After a lot of researching and learning how to web scrape effectively, we were able to scrape information from the r/Depression, r/SuicideWatch, r/CasualConversation, and r/All subreddits. Furthermore, the reddit API only allowed a maximum of 100 posts, so we had to learn how to use a wrapper tool called praw in order to scrape 1000 posts from each subreddit. Another challenge was creating the chat feature in realtime. We learned how to use socket.io to create the forum and chat feature so that people can messages each other in realtime.
Accomplishments that I'm proud of
We are very proud to have developed a complete working web application. We are also proud to have learned to integrate new technologies such as socket.io, web scraping, and google cloud's Places and Map's API.
What's next for One Life
We hope to polish off some of the bugs from our code, and conduct more testing of our platform. Then, we plan to deploy it on a server, and release it as an open source project for people all over the world to build upon and learn from!
References
WHO, Preventing suicide: A community engagement toolkit, 2016 -
https://apps.who.int/iris/bitstream/handle/10665/252071/WHO-MSD-MER-16.6-eng.pdf;jsessionid=BF40C14B3E1CB512CFC9C8F12D998DAE?sequence=1
Praw -
https://praw.readthedocs.io/en/latest/
SuiSense Team
Try it out
github.com
github.com
onel1fe.herokuapp.com | One Life | Helping support community members to assist people suffering from suicidal and depressive thoughts through machine learning and automated bots. | ['Veer Gadodia', 'Nand Vinchhi'] | ['Third Place Overall'] | [] | 34 |
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