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10,518 | https://devpost.com/software/toasty-v30osu | Welcome to Toasty! ʕ •ᴥ•ʔ
Login
Home Page
Bulletin Board
The Book Bag
Let's Chat!
What's next? ʕ •ᴥ•ʔ
Future feature: Show & Tell
Future feature: The Star System
Inspiration
As distance learning has become the norm for many students, it has become harder to engage with our peers, especially for younger students. School provides kids an environment to intimately participate with each other and teachers. To help with the challenge of distance learning, we were inspired to create Toasty! to provide elementary students a simple platform to conduct communication and classwork.
What it does
Toasty! is a web application that provides a simple platform to help students with distance learning. Kids can sign in and check the bulletin board for announcements. Students will also have the opportunity to post on the bulletin board through our Show and Tell feature, which allows them to post a picture and write a short description of what they are presenting to class. Additionally, we also have a Book Bag, a reading log where students can record what books they have been reading and teachers can check student's progress. The chat implementation allows students and teachers to interact with each other in a group setting.
How we built it
We used javascript, html and css for the front end and nodejs, express, and mongoDB for the back end. Logos were made with Adobe Draw and banners were made using canva.
Challenges we ran into
The navigation bar was a struggle because of the issue with resizing and scaling.We also had difficulties with adjusting the navigation bar so it would not cover the chatroom.
Accomplishments that we're proud of
We’re proud of the design, especially the bulletin board as we wanted that as a key feature of our applications.
What we learned
We learned how complex the front end can be and want to develop it more after the hackathon!
What's next for Toasty!
We hope to implement a stars/point/grading system and enable our show and tell feature. Additionally, we would like to eventually like to possibly add features such as extensions. This would help teachers to illustrate a dashboard that would have all students’ digital resources in one place.
Built With
css
html
javascript
mongodb
python
Try it out
toastyeducation.netlify.app
github.com | Toasty! | Let's get Toasty! ʕ •ᴥ•ʔ Accomodating kids and teachers engaging in distance learning. | ['Jessica Huang', 'Jackson Tran', 'Michelle Kwong', 'Kalani Lynn'] | [] | ['css', 'html', 'javascript', 'mongodb', 'python'] | 64 |
10,518 | https://devpost.com/software/make-america-green-again | Interactive carbon footprint calculator: Travel, digital advertising and results
Interactive carbon footprint calculator: Campaign events and print advertising
Inspiration
We started by questioning how much energy was spent on recent Presidential campaigns' Twitter activity and the resulting media coverage.
What it does
Creating awareness for politicians and people regarding the environmental costs of political campaigns with an interactive campaign carbon footprint calculator and mind-boggling statistics.
How we built it
We built it with sweat, tears, caffeine and a lot of googling. 'It' aka the website is built using javascript and HTML, the calculator is built using
calconic
tool and data analysis is done using SQL.
Challenges we ran into
The biggest challenge we ran into was data not being directly available for carbon footprint related to political campaigns. We had to breakdown the activities involved in a political campaign and approximately calculate the carbon footprint for each activity from independent sources. Additionally, one of our members kept getting distracted by a particular string of tweets and kept distracting the rest.
Accomplishments that we're proud of
Bringing awareness to the detrimental effects of political campaigns and creating a website that is aesthetically pleasing and in a way that is super intuitive for people of all ages to use.
What we learned
Environmental damage arises not only from political campaigns but also from activities from daily life. Simple activities like putting up a photo or sending emails are not something we think of when we think about global warming, but we often make the mistake of ignoring the sheer scale on which these simple activities are done. The scary part is us being able to realize just how much we contributed to CO2 emissions while learning about web development for this hackathon.
What's next for Make America Green Again
The data and estimates we made are by no means exhaustive. Collecting more data regarding other activities involved in political campaigns like merchandise, lodging, banners etc. to accurately capture the overall effect on the environment would be the way to go. We would also like to do an analysis from an economic point of view and compare it with other major activities that need/needed funding like the USPS or COVID-19 research. The carbon emissions from tweets that we calculated is an extremely conservative approximate. It doesn't take into account the retweets and the re-retweets that are there. Additionally, adding the impact factor for each activity will make our calculator tool extremely valuable for political campaign teams in reaching out to voters in a sustainably effective way.
Built With
calconic
css
html
javascript
sql
Try it out
bit.ly
github.com | Make America Green Again | What is the environmental cost of political campaigns? | ['Srishti Dhamija', 'Rakhil Immidisetti', 'Ankur Kejriwal', 'ilexipie'] | [] | ['calconic', 'css', 'html', 'javascript', 'sql'] | 65 |
10,518 | https://devpost.com/software/go-bananas-z28kri | Inspiration
Go Bananas was inspired by our shared love for bananas, yet we realized bananas were not getting enough love they deserved. Our approach is Go Bananas, where we focus on spreading knowledge of banana waste.
What it does
Go Bananas showcases different recipes and ideas that include bananas, even brown bananas. This encourages the user to be resourceful with their bananas, and being resourceful can bear positive results. For example, Go Bananas includes recipes on making banana bread, using banana as compost, creating banana skin care, creating tea with banana peels, and much more. Go Bananas also includes a fun Banana Clicker game, where users can click a banana as many times as they can. However, it is extremely tedious to amount to the 1.4 million bananas that are wasted per day in the UK. Go Bananas is fun, informative, and making a positive impact within our society.
How we Built It
We built Go Bananas using HTML, CSS, and Javascript. Additionally, we utilized coolors.co for recommended color palettes, Google Fonts, and Canva to design visuals.
Challenges we ran into
We ran into the challenges of formatting the recipes and ideas correctly. However, through communication and debugging, we created the gallery effect that we were going for.
Accomplishments that we're proud of
We are proud of the the Recipes and Ideas tab, because it contributes to our mission of saving bananas.
What We Learned
We learned that during quarantine and our inability to complete the hackathon in-person, communication is crucial. We learned to constantly communicate our new ideas that we would like the implement into our website, or if we would like to provide constructive feedback to each other's code. We also learned to organize and split up our tasks, and share a to-do list together in other to increase productivity and efficiency.
What's next for Go Bananas
We would like to add more recipes and ideas for Go Bananas, as well as build upon the Banana Clicker game.
Built With
css
html
javascript
Try it out
gobananas.glitch.me | Go Bananas | Millions of bananas are wasted daily, but Go Bananas is an initiative that helps users find creative, new ways to utilize even their browned bananas before throwing them out. | ['Sarah Ung .', 'Abby Hu'] | [] | ['css', 'html', 'javascript'] | 66 |
10,518 | https://devpost.com/software/hackforthepeople | Eco Sort
We created an educational game for young children to learn about waste sorting. Waste sorting is crucial to creating a sustainable, environmentally conscious world. With accessible and fun education, this should become second nature to everyone.
Here is the glitch link:
https://hack-for-the-ppl.glitch.me/
Due to this being our first hackathon, we didn’t resolve all bugs or get to implement all our desired features. Nonetheless, it was a learning experience and we hope to continue the concept and improve our hackathon skills.
Built With
css
html
javascript
p5
Try it out
github.com | Eco Sort | An educational game for young children to learn about waste sorting. | [] | [] | ['css', 'html', 'javascript', 'p5'] | 67 |
10,518 | https://devpost.com/software/landmark-rvtxp9 | Team
Veer Gadodia
Nand Vinchhi
Email for contact -
veergadodia24@gmail.com
Inspiration
Have you ever walked past a monument or landmark site, wondering what it is and why it was built? Many questions pop into our heads, leaving us with a longing for more information.
Furthermore, the COVID-19 pandemic has completely shattered the world, and the travel industry especially has been one of the hardest hit, with people not being able to travel, whether it’s for seeing family or personal growth and enrichment or discovering new cultures. Many people can no longer afford expensive tour guides in this time of economic hardship, not to mention the transmission risk of the virus.
When brainstorming, we were very clear that we wanted to create an app that would be most useful to people in real life, given the current circumstances. We believe that machine learning can be used to educate people about the important historical sites they visit and provide them with a simple interface to make travelling more informative and safe, as it requires no person-to-person contact, compared to large clusters of people travelling with a tour guide.
What it does
Landmark is a mobile application that uses camera vision to instantly recognize monuments and historic landmarks you have either taken or uploaded a picture of, and finds relevant and detailed information about it with external links, in the form of an easy-to-read flash card. The user can take the picture in real time at the site, as well as upload any previously taken picture, which is an especially common scenario and use case, as people often yearn to recount information or learn more about a site they visited in the past.
Landmark also provides a maps page, which seamlessly integrates with google maps features, and instantly finds the nearby monuments and historical sites that the user can visit, as well as information about these sites.
How We built it
React-Native for mobile app front-end
Flask for back-end and database + API integrations
MongoDB Atlas for storing user data.
Google Cloud Vision for camera vision model.
Tensorflow.js for another image classification model (we didn’t use this in our end product as Google cloud vision performed with higher accuracy)
Wikipedia API for getting flash card data.
Google places API for finding nearby sites
Figma for prototyping and UI design
Heroku to host back-end endpoints.
Challenges We ran into
The major challenge we faced was integrating react native with google cloud vision. Encoding the image into base64 was a major challenge, which took us nearly 2 hours to get over. The other challenge we faced was getting the wikipedia APIs to work properly.
Accomplishments that We're proud of
We are proud of creating a novel app that actually works at production quality. We are proud of integrating google cloud vision APIs, as well as google places, and wikipedia APIs. We are also proud of creating a responsive and clean UI, as we are relatively inexperienced in React Native.
What We learned
We learnt how to use the Google Cloud Vision API, Google Places API, Wikipedia APIs, MongoDB Atlas, and react native, given it was the first time our we had used react native in a real project.
What's next for Landmark
We want to make a more sophisticated system for getting the image for a monument. We would like to migrate our back-end to NodeJS for robustness and scalability, as well as host it via AWS or Azure, instead of Heroku. We would like to make the app more friendly to Android and older IOS versions. Lastly, we also want to solve any minor bugs and release this app on the app store and google play store.
Built With
figma
flask
google-cloud-vision
google-places
heroku
mongodb
python
react-native
tensorflow
Try it out
github.com | Landmark | An application that uses ML to identify monuments and landmark sites, and offers further information and links to educate the user on historical and famous landmarks. | ['Veer Gadodia', 'Nand Vinchhi'] | ['Most Advanced Technique', 'Best COVID-19 App (Google Cloud)', 'Wolfram Award for Top 30 Hacks'] | ['figma', 'flask', 'google-cloud-vision', 'google-places', 'heroku', 'mongodb', 'python', 'react-native', 'tensorflow'] | 68 |
10,518 | https://devpost.com/software/clickbait-activism-rqlo27 | Inspiration
I was inspired by the many events and movements currently occurring in today's society, such as the Black Lives Matter movement. I have encountered racism, thus I could all deeply empathize with victims of various crimes. However, I realized that some people cannot/do not empathize with victims. I wanted to help those people see from a different perspective and change their way of thinking, re-educating them and dispelling any misconceptions about various movements. I also wanted people to be incentivized and even excited to learn about activism, hence the games, quiz, and points.
How I built it
With me having a beginner level of coding, I decided that a simple website with HTML, CSS and JavaScript was ideal for our solution. Despite being a beginner, I coded the entire solution from scratch, so there was naturally a huge learning curve, especially as this was created in the span of two days. HTML, CSS and JS allowed me to easily create an attractive, usable interface, whilst also being able to keep track of the functionality of different aspects of code using different external CSS and JS files.
Challenges I ran into
As I was a beginner, I naturally faced many challenges. It was difficult to work on a new platform which was Glitch. Since, I didn't have much coding experience in the past at all. Despite that I pushed through and learned many new things from the workshops and searching things up on my own.
Accomplishments that I am proud of
I am very proud of the home page, as that is one of the main features to attract those with unjust behaviours. Additionally, I am very proud of the points system in place, as there were a lot of complications trying to pass variables between different files.
What I learned
I learned many HTML and CSS techniques, such as styling photos between text on the homepage and the tags, as well as how to pass variables between different files in JavaScript. I learned more applications of JavaScript, especially for the games and point system.
What's next for clickbait-activism
There are many things I could add to clickbait activism. One feature would be to add a pop-up video on the homepage, to directly confront the user. I would add a login feature for users to save their points and map their progress to have a more gamified approach that would further incentivize people to stay educated and up to date. People who share our link would also get points. In the future, I would also start social media accounts that would use the same clickbait strategy. I would have better prizes that would be more appealing to inspire users to keep learning, maybe with the help of sponsors.
Built With
css
html
javascript
Try it out
clickbait-activism.glitch.me | Clickbait Activism | I aim to re-educate those with unjust beliefs, such as those with racist/patriarchal behaviours, using a motivational rewards system, with points gained from a variety of activities across the site. | ['Katherine Xu'] | ['Top 15 Projects'] | ['css', 'html', 'javascript'] | 69 |
10,518 | https://devpost.com/software/recycleai | Inspiration
Many citizens think they are helping the environment by discarding everything into their recycling bin, but this can actually lead to more detrimental effects on the environment. We were inspired to provide a resource for people to easily classify their waste and be educated on proper waste disposal.
What it does
RecycleAI uses AI technologies to classify waste as recycle, compost, or trash.
How we built it
We built RecycleAI with Python's Tensorflow library.
Challenges we ran into
We had trouble finding large enough data sets to train our AI model.
Accomplishments that we're proud of
We are most proud of creating an AI model that plays an important role in helping regular citizens better dispose of their waste.
What we learned
While creating RecycleAI we learned that many items we initially thought were trash were actually recyclable items. This new knowledge empowers us to make active changes to how we currently dispose of our waste and be mindful of what we dispose.
What's next for RecycleAI
With more time, we would want to add more data to make our AI smarter and better classify waste. We would also like to add more interactive features to our web application to better educate our users. For example, including more media and stories of citizens who had made environmentally-friendly changes to their lifestyles.
Built With
python
streamlit
tensorflow
Try it out
github.com | RecycleAI | Help people sort their waste using AI technologies to promote a cleaner environment! | ['Vaishnavi Dontineni', 'Chandni Rajasekaran', 'Akash Gujjar', 'Scotty Singh'] | [] | ['python', 'streamlit', 'tensorflow'] | 70 |
10,518 | https://devpost.com/software/sustainability-4-kids | Inspiration
We wanted to design for the future rather than the present. While new innovations in technology are constantly changing the way we see and live in the world, protecting humanity’s only home planet from environmental catastrophe will have to start from within. We cannot force people to care about the world; we have to teach them to respect it.
What It Does
The Sustainability 4 Kids project is about providing information on green living and raising awareness on environmental issues in an easy-to-access format in order to educate and inspire kids to lead more sustainable lives. Resources for adults allows parents and teachers to work alongside children in bringing sustainable habits into homes and schools. From videos to activities, children have a wide variety of fun ways to learn and stay engaged. We want to gradually but firmly establish the importance of respecting the earth into younger generations and foster memories that will push them for a greener future.
Living sustainably isn’t a trend--it isn’t limited only to the more fortunate and privileged. Technology may halt the effects of climate change, but our project addresses the underlying problems and attitudes prevalent in modern times and seeks to reverse it. Currently there are no existing websites geared towards children that consolidate all possible resources in one area--our website would fill this gap with an appealing modern interface and updated information.
Teaching children how to live sustainably encourages them to continue this lifestyle as adults.
If we all start to live a little greener, we can slow down and limit the damage done to our planet.
please visit the figma link listed below or
here
to check out the website for yourself!
How We Built It
After coming up with our idea, we used Figma to prototype a website. Our design caters towards a younger audience, and we took inspiration from sites such as PBS kids and CoolMathGames.
Challenges We Ran Into
Originally our idea was entirely different. We wanted to design what we called “smart networks,” which were integrated communities that used smart technology provided through their utility providers to conserve energy and limit CO2 production. Unfortunately (or fortunately) we discovered that this idea was already established through the name “smart grids” and had to scrap it.
Accomplishments That We're Proud Of
This is our first official hackathon we’ve participated in and we’d like to think we’ve done a decent job overall! Brainstorming was fun but difficult to apply to real world applications.
What We Learned
We learned that it takes a lot of effort to come up with feasible solutions towards many problems in the world today, much less implement them. While we both have backgrounds in art and design, this was our first attempt using Figma and coming up with a minimum viable product website. We’re happy to have had this learning experience and hope to apply the skills we’ve gained on future projects.
What's Next for Sustainability 4 Kids
To make our design into a functioning website with real resources and elements, as well as to spread the word. We would also like to implement it as an app for more convenient access, with additional features such as trackers for waste habits and a virtual plant simulator to foster responsibility. While our project may exist solely online now, our main goal is to provide and educate all we can through whatever means possible.
Built With
figma
Try it out
www.figma.com | Sustainability 4 Kids | A kid-friendly website all about sustainability for kids and with resources for adults. Only by educating the next generation can we ensure a healthy future. | ['Egret Jin'] | [] | ['figma'] | 71 |
10,518 | https://devpost.com/software/maize-bswoj8 | We do not shower.
Hygiene isn't even a word in our language: the Miskito language. We merely assemble all the family members within a cabaña and urge them to glean $1.00 plastic buckets.
In a snake-curled line, hundreds slip down the slope of a dirt-ridden hill to fill their buckets with a revered liquid- water.
Sun-charred hands, crammed with millions of bacteria, reach into the river. Water fills the buckets from the bottom up, entering tenderly like a waterfall cramming into the center of a crevice. Sweat dances down our shoulders and plunges to a gruesome death. The thrusting of our bodies generates a melody with the atoms of the atmosphere:
La. Da. La. Da. Thrust. Pass. Thrust. Pass.
After ten buckets per family household are filled, the children of the tribe burden a personalized wooden crate with water oozing through the cracks. My crate embraced drawings of Spongebob, and the misspelled name of my father engraved into it. I never ceased to spell “Marvin” as “Martin”.
My sister and I transversed the nature-bountiful streets of Nicaragua, observing the towering trees bordering our route, the cabañas concealed within the confines of the forest, and the delicate melodies of the hummingbirds.
A deep indentation under the bush indicated our route to Abuela's home. No. The smell of blue corn over the fire darted at us like airborne bullets. Tied it’s aroma around our necks and uprooted us as though we were stationary potatoes.
That was the last moment blue corn was served to us. Everyone from Nicaragua was born a "corn child"- for our land nurtured nearly 307 strands of corn. Today, there are only 12 strands of corn. The blue beads stuck to the rod provided a drink, tortillas, chips, and virtually everything. We would dedicate 8 hours of the day to collect water for the corn gods beneath us, yet children died from starvation. Industrial farming planted itself under our feet and pulled us at our ankles.
The app Maize, though only a small fraction of the solution, provides others literacy on how climate change has brought venerated strands of vegetables and fruits to near extinction. I would have never envisioned myself coding an app that collectively combines the values of my community to a grander audience. Not only did I learn how to code- I learned what it means to engineer solutions to critical problems.
Upon gathering my community's knowledge of seed preservation, I tweaked the steps of establishing a seed bank to make the process more home-based friendly. Afterward, I simultaneously completed Xcode lessons while coding the app. Hence why the "tracker"portion of the app still needs to be refined. I continued to search the edges of the web for a solution to the "tracker" portion of my app, though the process was largely unsuccessful. However, I continue to admire my project, as I will continue to develop the app beyond the Hackathon.
In the next two months, I aspire to establish the first seed bank in Miami. The app Maize can guide others to do the same in their own cities. There's much room to grow, but I know the problem of endangered fruits and vegetables can be uprooted one seed at a time.
Built With
swift
xcode
Try it out
github.com | Maize | No avocado toast, nor PB and banana toast. A realm, we today, are immersed in- where endangered foods are a product of global warming. Maize intends to increase awareness of such disregarded foods. | ['Glory Barrios'] | [] | ['swift', 'xcode'] | 72 |
10,518 | 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'] | 73 |
10,518 | https://devpost.com/software/twitter-izqyk0 | Inspiration
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for TWITTER.
Built With
portugues
Try it out
www.twitter.com | TWITTER | MINHA PAGINA | ['Viviane Coelho Ulysséa'] | [] | ['portugues'] | 74 |
10,518 | https://devpost.com/software/clean-water-detector-app-that-detects-cleanness-of-water | Instruction Screen
Home Screen
SINCE THE MODEL IS UNDER 1ST PHASE OF DEVELOPMENT PLEASE USE A WHITE SURFACE FOR KEEPING THE GLASS/BOTTLE SO THAT THE MODEL CAN PREDICT ACCURATE RESULTS
DOWNLOAD SAMPLE IMAGES FROM THIS LINK
link
DOWNLOAD APP FROM LINK AT BOTTOM
Inspiration
Dirty water is dangerous
In
Africa
, more than
315,000 children
die every year from diarrhoeal diseases caused by unsafe water and poor sanitation. Globally, deaths from diarrhoea caused by unclean drinking water are estimated at 502,000 each year, most of them of young children.
Every year
575,000 people
die from water related diseases. This is equivalent to a jumbo jet crashing every hour. Most of these people are children (2.2 million).
Unclean water and poor sanitation have claimed more lives over the past 100 years than any other cause. The water-crisis claims more lives through disease than any war through guns.
844 million
people lack access to safe drinking water. This is more than the combined populations of the United States, Brazil, Japan, Germany, France and Italy.
What it does
It basically calculates the cleanliness of the water with the help of its machine learning model that I made, It than shows the results indicating how clean or dirty the water is.
The Covid-19 Detector is a complementary thing that I added just to show the power and usefulness of AI. It is currently in the beta version.
How I built it
I built it using Flutter, with flutter I have the capability to create both iOS and Android apps at the same time hence making the availability vase. At the back-end I used Tensorflow lite, to give my app the capability to use machine learning models in offline modes. Model is made using Trainable Machine powered by google cloud.
Challenges I ran into
Being a solo developer I ran through many Challenges but I succeeded on my goals and I am happy to deliver this prototype on time.
Accomplishments that I'm proud of
I am really happy to contribute this project of mine for the entire people of the world so that they can have access to clean drinking water
What I learned
I learned a lot through out making this app as it was a really challenging task
What's next for Clean Water/Covid-19 Detector App
If everything is going good with this app I would really like to release this app to the entire population, but before that I would have to give some more minor improvements to this app.
Built With
flutter
google-cloud
tensorflow
Try it out
drive.google.com | Clean Water/Covid-19 Detector App : iOS/Android compatible | Powered by Tensorflow lite model made using google cloud Teachable machine, Can detect the % of cleanness and dirtiness of water by just an image from your phone(even without Internet)!! | ['Udipta Koushik Das'] | [] | ['flutter', 'google-cloud', 'tensorflow'] | 75 |
10,518 | https://devpost.com/software/envyard | Inspiration
EnvYard is from environmental yard, even if it's a funny word combination.
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 king 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 EnyYard is a simulation of a system which provides the services for optimal plantation maintenance. The greenhouse would have the following features:
1. Solar Cells to provide power for the system. The simulation calculates the power considering the fact that a part of the greenhouse is covered with solar panels.
2. Mirrors for light uniform distribution.
3. Smart irrigation system.
4. Drone for checking the levels.
We also provide a platform for statistics and predictions for the farmers to see their plantations' status.
How we built it
We used Unity and EchoAR for the simulation. Also, the Bubble.io was used for the interface, database and Google AutoML for predictions. We intent to add the Vision feature in the website and in the Unity project.
Challenges we ran into
First of all, we had a problem with deploying the app to web, because of the asynchronous calls made for the EchoAR models. Some optimizations But the app is available on desktop and is portable: it can be deployed on Web, Mobile and even VR/AR apps. Also, integration of Bubble and Google APIs like AutoML and Vision was a real challenge, due to the fact that the APIs changed a lot in the last years.
Accomplishments that we're proud of
What we learned
It think this was our first app using Unity. We were really excited about it, especially because is an old and important idea. Also, we had the chance to learn Bubble and more about Google APIs.
What's next for EnvYard
This seems to be a long time project, regarding the technologies which will be used, the hardware design, the funds, etc. First of all, the platform should be integrated to a real greenhouse like one in the simulation. In order to see the plants from it we would use a 360 camera with will export the image in the VR/AR simulation. Also, we would like to add more features regarding the organisation and the automatized maintenance, probably using APIs from Google Cloud and our own code.
Built With
automl
bubble.io
dialogflow
echoar
unity
vision
Try it out
github.com | EnvYard | The project features a simulation for a self-sustained and autonomous greenhouse. | ['Alexandra Chirita', 'Brighton Dube', 'Abrar Rakin'] | ['Wolfram Award for Top 30 Hacks'] | ['automl', 'bubble.io', 'dialogflow', 'echoar', 'unity', 'vision'] | 76 |
10,518 | https://devpost.com/software/greenar | ..
Built With
particle
Try it out
github.com | GreenAR-one small step to a greenar world | .. | ['Akash Bajpai'] | [] | ['particle'] | 77 |
10,518 | https://devpost.com/software/emergex-boply9 | Inspiration
We had won the grand prize at an APAC-level hackathon and he got a chance to go to a startup conference in HongKong this summer. But due to the pandemic, it was canceled. Now, we are not sure if we’ll go even if the conference is next year. We realized this would be the case for many travelers, both leisure and business. One of the major problems would be making travelers gain the confidence to travel again. We decided to do something to encourage people to travel, by assuring them of safety.
What it does
We have created software services for hotels, airports, parks, restaurants, museums, theatres, and other enclosed private tourist spots. Our system will automatically detect whether people are following social distancing and whether they are wearing masks or not, from CCTV footage. These places can advertise that they’re using an automated system to ensure safety, and this will attract more tourists. The other facet of our solution is a website for travelers/tourists. This service can be used by any travel company as an additional service to the users. Users can pick a destination and a date of interest. We will show them the updates of that city, and give the estimated number of cases along with news of that place. This estimation is based on a predictive ML model. This will help users make an informed decision and they can postpone their trip well in advance, without losing out money on cancellation charges. This will also help air travel companies and hotels, who have to bear losses if a person cancels their stay. Lastly, an online immigration form will be provided to minimize physical touchpoints.
How I built it
We have taken a sample recording of the CCTV camera footage. A machine learning model detects and classifies various bounding boxes based on the distance between people in the video. Also, we have the Mask detection algorithm which was built using CNN and it checks whether people are wearing a mask or not and creates a bounding box around the face. So the viewer knows the number of people violating the norms. These models were built in Python. For COVID trend prediction, we had used the RNN model. For news and daily updates of the COVID cases, the data is scraped online and displayed on the website available online. The website for travel users (of the hotel, market, tourist spot) was built using React, Firebase, and Node.
Challenges I ran into
Data Privacy was the one challenge we encountered during this Hackathon. However, the service which we will be providing will enable the private tourist places to analyze the data and count the number of people maintaining the social distancing norms without giving any private information of the person from the CCTV frames. The clients will just have to push the data in the backend for our analysis so that we can give them a safety rating. In the future, we plan to add a pipeline which will blur the faces of the people present to provide an even safer and secure service.
Accomplishments that I'm proud of
We are proud of the fact that our project will help many travelers, both leisure and business in the aftermath of this pandemic. We will be providing one of the major strengths to travelers that are gaining confidence to travel again. We are really happy to be part of the change that will boost & encourage people to travel safely.
What I learned
We learned the importance of teamwork and work together even though not being in touch physically. We interacted with online and distributed tasks to each other. We learned to ideate and come up with an innovative solution in a short span of time. We faced many challenged while the hackathon but we were determined to go on and we persevered.
What's next for emergeX
The next plan would be to host our entire web application on the cloud. The ML models and the backend will be deployed on the cloud. In phase 1, we would like to try out this solution locally. We will tie-up with local hotel chains and tourist spots in Mumbai and devise a basic billing plan to start earning revenues along with other travel agencies so that they can use our web app as an additional module or service. We will also release our app for tourists on the play store. After these iterations and learning from the results, we would like to partner with more places and or a company like Trivago which can in turn sell these services to its partners.
Built With
css
html5
machine-learning
node.js
Try it out
github.com | emergeX | An AI-powered holistic solution for inducing confidence in people to travel safely again. | ['Siddhant Kumar', 'Vedant Kumar', 'Parth Shingala'] | [] | ['css', 'html5', 'machine-learning', 'node.js'] | 78 |
10,518 | https://devpost.com/software/recyclable-y2trx3 | Inspiration
In chemistry class, I've learned about the many different polymers and their impacts on the environment. Before then, I've never known that different plastics needed to be recycled in different ways. I therefore created a simple program that would allow people to easily figure out how to recycle some of the most common plastics. Soon, I've expanded the program to also include information on how to recycle other commonly recycled products such as glass, paper and even used oils and tires.
What it does
It is an easy way to receive instruction on proper and environmentally-responsible methods of disposing used goods. Just follow the prompts on the screen to input the correct material that you want to recycle.
How I built it
I used python.
What I learned
Conducting research on this allowed me to discover that there are more things that can be recycled than what is common knowledge. For instance, I never knew that used oils could be turned into motor oil! What a fascinating way to reduce oil waste in the world!
What's next for Recyclable
This program may be even more useful as an interactive mobile app or as a website. I would also like to be able to add visual effects and make my program visually appealing. I can't wait to develop my skills further to be able to create such a program some day!
Built With
python | Recyclable | An easy and simple way to discover how to recycle. | [] | [] | ['python'] | 79 |
10,518 | https://devpost.com/software/good-vibes-web | The problem Xper solves
In the world of Web Development, I have always faced one major/irritating problem which is responsiveness of a website. Everytime when I am developing a website, I make a quick change and push it in order to quickly check how it looks on my phone. And it does not even update in RealTime!!! Now I know we can simply turn on the inspector and toggle to mobile screen mode to have a look and get an idea of how it might look on a mobile device, but is it accurate? I still always have this urge to check something that I spent hours working on in realtime, on my phone!!
Imagine, a tool/code editor where you can simply write code, and then deploy it, and see your deployed code update in realtime, as you code on all DEVICES that has your website open. Imagine how easy it would be to see your code’s output just after you make that small two line change to your code and see it update in REALTIME on your phone without connecting your laptop to it. Imagine being able to edit your code on any device that you visit your website from!!
Built With
acejs
firebase
javascript
react
Try it out
xperbycoder.netlify.app
github.com | Xper | Xper is a realtime code editor where you can both write and save your code in realtime! | ['Jaagrav Seal'] | [] | ['acejs', 'firebase', 'javascript', 'react'] | 80 |
10,520 | https://devpost.com/software/virtual-doctor | Inspiration for Virtual Doctor
During the COVID-19 pandemic, both of us have have become accustomed to talking to our doctors via video call. We have had multiple experiences with these virtual appointments that have highlighted the shortcomings of video-based communication for health consultations. After being in a bike accident, one of us had a difficult time communicating their pain levels and areas to the doctor, when it was difficult to gesture to all pain areas in the limited field of view of the webcam - Something that would not have been challenging in real life. We realized that virtual consultations were missing an additional visual form of communication to fill the void of physical gesturing and examination that is commonplace for in-person visits.
What it does
We developed "Virtual Doctor", an online video-conferencing application, which allows patient and doctor to communicate with the help of a human avatar. Both patient and doctor can interact with the avatar to communicate areas of pain or discomfort and areas to hold a smart phone to for recording videos or pictures.
How we built it
The front-end has been build with React and Antd and is served by Next.js. For the rendering part we used Three.js and integrated it to React using
react-three-fiber
. Twilio was used for the video chat feature. For teal time interactions firebase real time database was leveraged.
Built With
antd
firebase
gltf
google-cloud-functions
javascript
next.js
react
three.js
twilio
vercel
Try it out
virtualdoctor.vercel.app
github.com | Virtual Doctor | A visual tool to enhance virtual patient-doctor communication | ['Guillaume Leclerc', 'Djuna von Maydell'] | ['1st Place'] | ['antd', 'firebase', 'gltf', 'google-cloud-functions', 'javascript', 'next.js', 'react', 'three.js', 'twilio', 'vercel'] | 0 |
10,520 | https://devpost.com/software/health-memo | Inspiration
Sanford HealthHack 2020 inspired us to identify a problem in health care that millions face around the world - a dreadful user experience when sharing regular updates with your primary care provider. We wanted to take existing technologies and seamlessly integrate them to create a robust, user-friendly, and convenient way to keep track of your health. This is especially helpful for the elderly and people with one or more chronic diseases.
What it does
Let's say you are 70 years of age and recently had a heart attack. This means you have to check in with your doctor on a regular basis and share updates on your health. Remembering and summarizing past events can be hard and in these fast-paced 15-minute appointments, you might miss key details that could potentially save your life.
Health Memo gives people a way to log their health condition when they feel uneasy or when your smartwatch notices a concerning change in your vitals. The user can create memos using digital assistants and share them with your care provider when you have an appointment with them. The questions in the memo are curated to your condition and what the doctor would like to know. So in your next appointment, they can dig in deeper into the days you were feeling particularly low and ask more personal questions making appointments more productive and effective.
How we built it
Using our experience of iOS development and a quick adaptation of Google's Text-to-Speech and Speech-to-Text frameworks, we were able to create a production-quality iOS app to showcase in the demo part of our video submission.
Challenges we ran into
Initially, we wanted to build Health Memo using just SiriKit. The limitations we came across were Siri's limited ability to either simply launch the app, or launch the app with a set of parameters. Another limitation was that Siri could not respond based on the context on the screen once Siri was invoked. Due to these limitations, implementing a conversational-style interaction with Siri was not viable, and even if it was, it would exclude other devices that run Android - hence a large user base.
So, we shifted our focus to adopt Google's Text-to-Speech and Speech-to-Text APIs. These are not only available on Andriod and iOS devices, but also have an ability to be invoked after the app is launched.
Accomplishments that we're proud of
Health Memo makes use of the technologies that already exist out there. It takes the user experience and significantly improves it to enable millions to better keep track of their health. Using the app is as easy as launching the app through the digital assistant (Siri, Alexa, Google Assistant, Bixby, etc) and asking to create a memo. Using conversational-style questions, you can answer back and the memo will be saved for you.
Many patients who we talked to said they will use Health Memo if it was available to download is what makes us proud. Our attention-to-detail and thinking from the user's point-of-view has also been praised by many.
What we learned
The primary lesson for us from this project was working in a team to identify a great amount of untapped potential in enriching people's lives when an app is executed properly with the right mindset and motivation. We also learned that creating user-centric apps is not difficult. In fact, they encourage more users and in the case of Health Memo that means a greater number of healthy people.
What's next for Health Memo
We are constantly trying to make the app even better and starting to work on actually publishing it so more and more people can make use of this innovative - yet easy to use - app. We hope the judges for the Sanford HealthHack see as much potential in this as we do. We would love to work with the engineers at Sanford and make Health Memo accessible on more phones.
Built With
google-speech-to-text-api
google-text-to-speech-api
sirikit
swift
swiftui
xcode
Try it out
github.com | Health Memo | Health Memo exponentially improves the user experience when sharing regular updates with your primary care provider without even having to touch your phone. | ['Taha Afzal', 'Samuel Woldegiorgies', 'pawan subedi'] | ['2nd Place', 'Audience Choice'] | ['google-speech-to-text-api', 'google-text-to-speech-api', 'sirikit', 'swift', 'swiftui', 'xcode'] | 1 |
10,520 | https://devpost.com/software/early-issue-detector-ios-app | In app demo
Inspiration
We wanted to learn about augmented reality technologies and found relevant use cases for this technology in health care
What it does
Our project is an early warning system and risk identifier that is accessible anywhere via mobile app
How we built it
We used Apple's Swift 5 language and XCode to create our app
Challenges we ran into
Machine learning being hard to implement
Accomplishments that we're proud of
Creating a functional iOS application that implements AR technologies
What we learned
We learned about AR technology and programming for native iOS platforms
What's next for Early Issue Detector -iOS App
Fully implement machine learning
Built With
arkit
ios
mobile
swift
xcode
Try it out
github.com | Early Issue Detector -iOS App | Concerned about a rash, bump, or other abnormality? Scan it with our augmented reality app and it will find potential causes about this issue and link you with a doctor. | ['Andrew Rotert', 'Ryan Morganti', 'Nick Sandison'] | ['3rd Place'] | ['arkit', 'ios', 'mobile', 'swift', 'xcode'] | 2 |
10,520 | https://devpost.com/software/team8_sanford_hackapp | Inspiration
Older people struggle a lot with technologies; therefore, a more comfortable solution to communicate better with their health care provider is essential. Coming across personas such as Robert and Mary motivated us to create an efficient and easy to use solution for their problems to easy access to virtual care, especially in these challenging times where virtual care is more needed than ever.
Our motivation was rather than adapting to new technologies; we wanted the technologies to adapt to them.
What it does
Communicate with your care provider
Connect fitness tracker data such as weight, blood pressure, temperature, heart rate, etc.…
Facetime video visits
Schedule Diagnostics and Lab appointment
View upcoming and previous visits summaries, including lab result
Review, Order, and refill medications
Get deals through GoodRx
Collect Data from Fitness Tracker (Apple Watch, Fitbit, and more)
Condense Data into a consumable amount
Averages
Highest
Lowest
Uses Access Code to activate the user account
Medication, Prescriptions & Appointments Reminders
How we built it
To build the app, we used Android Studio for a faster way to reach a UI ready to present.
Challenges we ran into
As for challenges, we have never used Android Studio or code with Kotlin, the language we used to code the app, or even built an android app; therefore, it was a challenge learning how to get started with the development tool and debugging the code required a lot of research.
Finding the easiest solution for our persona that would integrate into the app was a bit challenging since we weren't sure what was doable with the tools and technologies available to us and finding what tool to use to start developing the app.
Accomplishments that we're proud of
Despite the struggle getting started with a new language and development tool, we are proud to have completed a UI and were able to add functions to it, allowing us to Demo and showcase our idea and plans to complete the app and the project.
We are also proud of our solution because we firmly believe in how efficient it will be to relate to our chosen persona.
What we learned
The biggest thing we learn is the Mobile app development that we can enjoy learning. We had the chance to learn about android studio, Kotlin language, and not to mentions API and how important they can be when building an app. We never realized how useful and convenient they could be. The epic API's were a great discovery for us
What's next for Team8_Sanford_Hackapp
What is next? we intend to win this competition to able to finish the app as we believe it can thoroughly help solve virtual care challenging
Built With
android-studio
github
kotlin
Try it out
github.com | Team8_Sanford_Hackapp | Making virtual Care accessible to everyone | ['Anirudh Dhoundiyal', 'Tite Divava'] | [] | ['android-studio', 'github', 'kotlin'] | 3 |
10,520 | https://devpost.com/software/complete-contactless-healthcare | The problem Our Project solves
-
Challenges we ran into
-
Built With
css3
html5
javascript
node.js
php
Try it out
github.com | Complete Contactless healthcare | A complete Contactless solution for all your medical queries and problems | ['Praneet B'] | [] | ['css3', 'html5', 'javascript', 'node.js', 'php'] | 4 |
10,520 | https://devpost.com/software/turbomed | TurboMed Logo
Inspiration
The Coronavirus pandemic brought to light many disadvantages that come with our modern healthcare. Like many things, the pandemic has sparked a need for change. There are people during this pandemic who fear going into the doctor and many stay at home ill without a diagnosis. Those who can make an online appointment often can't receive the proper diagnosis, something that personally happened to me this past summer. After receiving an incorrect diagnosis multiple times, I knew it was time to do something about it.
What it does
TurboMed is a step towards updating the health care system. It makes access to vaccines, check-ups, exams, medications, consulting, and more not only accessible but feasible in a time where hospitals may be full and dangerous.
How we built it
Like any good product, it is rooted in research and customer case-studies. We found a need for this product and got to work. We wrote up our research and formulated it into a pitch deck to make it an easy and informational read.We created a prototype, using the Figma software, that shows how a user can create an account, a profile, make an appointment, order their prescription, get a vaccine, and more.
Challenges we ran into
Some challenges we faced include creating an app that will be easily accessible and navigated by those who may be blind, colorblind, elderly, or disabled. To combat this, we downloaded some plugins to make it convertible and diverse.
What we learned
We learned not only about UI and UX implementation but also about the trying aspects of the health care system during this pandemic.
What's next for TurboMed
What's next? Well, we want to implement the connecting application that will show on devices such as Apple watches so that a user can send real-time vitals and other information to their health professional. We also want to polish this idea further and work with a clinic/hospital to get insight on the feasibility of this idea.
Built With
figma
google-drive
Try it out
drive.google.com | TurboMed | Schedule an appointment anytime, anywhere! Access to professionals, medications, and routine check-ups at your convenience. | ['Neftali Hernandez', 'Judy Loyd'] | [] | ['figma', 'google-drive'] | 5 |
10,520 | https://devpost.com/software/medically-fsc3ry | Inspiration
After an increase in disease outbreaks covi-19 In the world and the great concerns that a large number of patients will be affected in general by its spread and hospital fears of any enemy cases, many of whom are forced to close outpatient clinics and due to curfews and the closure of a large number of private clinics adherence to the law we must find practical solutions to help the disease Those who need medical follow-up from all specialties, especially the elderly, and especially those with chronic diseases, who have a great risk to their lives if they are moving and direct them to hospitals if they suffer from any health problem or want to follow up with their doctors
And after the increase in the number of people infected with the virus around the world and the inability of hospitals to absorb them, and after adopting domestic isolation to deal with these cases and the difficulty of their going out to check on their condition, there must be a medical follow-up without any friction
And Today, after the great development that we live in and where technology has contributed greatly, it has become difficult for us to imagine our lives without the use of modern and fast means of communication, and access to information quickly has become one of the most important goals that we seek, but we find that many areas have not been activated The technology has great efficiency and effectiveness, including the health and medical sector, which suffers greatly in many respects, especially in Egypt because the health system and the healthy environment have not been activated in a significant way, which makes the health care system go through crises from time to time and With the increase in population and the increase in demand for health services, I said that this service is performed in many places and the inability to provide these services in all places with the same quality and efficiency and with the increase in the prices of these services, which created a gap in the market, so it is important to work to increase The effectiveness of the health system and make it accessible to all. Follow-up with those infected with the virus who adhere to the home stone through a large network of doctors free of charge from the application and that after defining protocols with doctors committed to this task and communicate effectively with the suspects and make sure of the development of their health throughout the day
From here we decided to work on an application
Medically who provides medical consultations online and made this service accessible to everyone as the distance from the doctor we need is no longer an obstacle in providing medical advice or saving our families in times of emergency and waiting in long queues and wasting time and effort is no longer an appropriate choice. After today, and in light of the technological progress that we live in, it was important that we provide these services in an efficient, effective and reliable manner.
what is it Medically?
It is an application that provides its services to an audience:
1- Follow up with those infected with the virus covid-19 Those who adhere to the home stone through a large network of doctors specializing in this field free of charge from the application and that after defining protocols with doctors committed to this task and communicate effectively with the suspects and make sure of the development of their health status throughout the day
2- Prioritization of the elderly and those with chronic diseases which are highly susceptible to the spread of the virus covid-19 In obtaining remote health care periodically and following up on their condition periodically
3- The role of education in these critical circumstances is essential and apply the information documented by the World Health Organization
4- Search for doctors according to their specializations, qualifications, academic degrees and experiences through a specialized platform
5- Engaging in medical advice online through written texts and send pictures and videos of the situation or video calls or voice calls and in emergency situations
6- Identifying the nearest hospitals or pharmacy and sending inquiries regarding the patient and making sure of the presence of health services or products that the patient needs before he goes to prevent wasting time or standing in lines or places crowded with patients and the absence of pressure on medical services and crews in some areas while there Other areas have empty spaces that can be used
7- Learn about medical discounts and announcements
8- Follow up on weekly articles for doctors you trust
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for medically
Built With
ai
flutter
ml
Try it out
drive.google.com | medically | After an increase in disease outbreaks covi-19 Medically who provides medical consultations online and made the doctor we need is no longer an obstacle in providing medical advice | ['Enas Zayd'] | [] | ['ai', 'flutter', 'ml'] | 6 |
10,520 | https://devpost.com/software/sanford-health-hackathon | Inspiration
I was inspired to synthesize fitness data analysis with forecasting as a challenge based on prior interest in fitness challenges and recent experiences with a forecasting internship. See the code at
https://github.com/jamesyoung93/SanfordHealthHack2020
.
What it does
This app takes your exported health data from Apple Health apps including the Apple watch and turns it into interactive visualizations for exploring your health, forecasts, challenges, and reflection on recent performance.
How I built it
I built this app using the open-source language "R" and its web-app framework "shiny". I
Challenges I ran into
It would be a challenge to integrate the example Apple Health data I have used in this app with an EMR. The example Apple Health data may not line up with the health outcomes of the EMR data in an intuitive way because they are different "example persona" data.
Accomplishments that I'm proud of
I am proud that I completed this submission in addition to my other day-to-day responsibilities including work, class, teaching, and research as a grad student at SDSU.
What I learned
I learned that Apple Health data, the type that my chosen "persona" wanted to share, is actually relatively easily extracted and can be analyzed in insightful ways in R. This fitness data may have cross-over with health outcomes and may inform healthcare guidance with further availability and study.
I also learned that screen capture for windows doesn't transition as you click, however, I learned this too late.
What's next for Sanford Health Hackathon
The sky (+/- constraints) is the limit, right?
Built With
r
shiny
Try it out
jamesyoung.shinyapps.io | Seamless Health Data Integration, Exploration and Motivation | Frustrated with the struggles of health data integration? With this new application you can seamlessly integrate your personal fitness data into your healthcare conversations and explorations. | ['James Young'] | [] | ['r', 'shiny'] | 7 |
10,520 | https://devpost.com/software/diabetes-predictor | Inspiration
Many relatives in my family has diabetes and I have seen how it affected their daily life. Machine learning has been there for quite some time. I have watched news about how machine learning improving healthcare which inspired to create this project
What it does
It takes a patient's pregnancies, glucose, blood pressure, skin thickness, insulin, BMI, age, and diabetespredigree function to predict the possibility of having diabetes on a scale of 1.0
How I built it
I used google colab which has tensorflow built into it to create this model.
Challenges I ran into
Initially, I thought my model is working properly however I forget to test the model. Additionally, having a slow computer took the runtime longer .
Accomplishments that I'm proud of
Being able to contribute to healthcare field in these unprecedented even if it's writing lines of code.
What I learned
Taking my scribble idea from a notebook and eventually executing it in a good manner in google colab
What's next for Diabetes Predictor
I would like to improve the accuracy of the model.
Built With
colab
google
pandas
python
tensorflow
Try it out
colab.research.google.com
github.com | Diabetes Predictor | Know before it is too late | ['A R'] | [] | ['colab', 'google', 'pandas', 'python', 'tensorflow'] | 8 |
10,520 | https://devpost.com/software/spork-health | Robert, our chosen user persona.
Homepage
Empty measurements page
Logging a measurement
Logged measurements
Team view to share your measurements
Overview of Spork Health
Since rural patients may have a hard time getting to their doctor often, we wanted a way to reduce those lengthy trips they have to make so they could get more frequent attention and care. By logging their health metrics on Spork Health or automatically sending it up through the use of a smart watch, it allows their doctor to be more aware of how they are doing health-wise which gives that doctor more information for them to have more effective remote virtual calls. While we believe this solution would be great for rural residents like Robert, it could also be great for other people in general who may want to avoid more in-person meetings in the time of COVID-19.
Prototype
The source code for the prototype is on
GitHub
. Furthermore, the prototype is
live on a production server
to play around with.
Things we'd improve for the future
API integration with smart watches (such as Fitbit)
Ideally, we'd like to avoid having someone to enter in all their data manually everyday. One caveat to this is that most of these smart watches are rated as "wellness" devices by the FDA and therefore, all the metrics they track may have varying degrees of accuracy. See this
Stanford Medicine article
for more information.
Integration with more specialized health devices
It'd also be nice to integrate with other more specialized devices that may be for taking blood pressure, for instance.
More measurement types
We only have blood pressure and cholesterol measurements as types that can be added to the log of measurements since our primary focus was just on our User Persona, Robert, and his goal. However, it would be nice to expand that list to make it more generally useful.
Data visualization
There is a "Dashboard" page for the app where we hoped to have some summary statistics about the metrics that are being tracked and ways to visualize the data to more easily get an overview.
Alerts for Robert/his doctor for if the measurements are trending in a negative way or if they are abnormal in some way.
More flexibility for each measurement. Right now, it is just a measurement type and a numeric value for each one. However, for something like taking a blood pressure measurement, it is usually expressed with two numbers such as 120/80 to refer to the systolic and diastolic pressure.
Health logs
While things such as the raw health measurements gives the doctor the objective side of a patients well-being, it is also nice to get a more subjective "how am I feeling" day-to-day log for a fuller picture. This also opens up the possibly for comments on those logs where their doctor may inquire more.
Challenges we ran into
The main challenges we ran into was the time constraint of development in 2 weeks on top of our school, work, and extracurricular activity schedules. Furthermore, there is also the challenge of hardware. We're supplying the software solution, but it requires some hardware on the users end.
Technologies Used
The prototype was developed using PHP and a web framework called Laravel.
A notable exclusion to this is that we did not use the EMR API. The reasoning for that was mainly because we didn't see a fit for it. Our solution was more about Robert tracking his own health metrics and pulling data off of those devices he is using. If we were able to then push those metrics back up to the EMR API, that could potentially avoid having the doctor need an account on Spork Health. However, for the actions the EMR API offered, it was mainly reading information from it rather than pushing information up to it.
We also did not use any datasets. However, there could potentially be some interesting machine learning related features here if we did where we could alert Robert or the primary care doctor if the metrics he is tracking are trending in a negative direction or are abnormal in some way to ensure those things are spotted and handled in a timely manner if it is detected that it may lead to something serious.
Built With
heroku
laravel
php
postgresql
Try it out
github.com
www.sporkhealth.com
docs.google.com | Spork Health | Get care remotely by tracking your own health metrics and sharing them with your doctor. | ['Eugene Triguba', 'Izzy Sommers', 'Kelsey Ruff', 'TJ Liggett'] | [] | ['heroku', 'laravel', 'php', 'postgresql'] | 9 |
10,520 | https://devpost.com/software/project-prevention-fizm56 | We were inspired by the elderly population and especially those who reside in a rural setting. They face unique challenges when it comes to healthcare such as lack of access due to provider shortages, distance needed to travel to see providers, and lack of preventive care.
Our proposed app and AI will integrate with existing EMR to increase the quality of care delivered by providing the providers with possible diagnosis and treatment plan before they even see the patient. Furthermore, the predictive analytics will help healthcare systems deliver quality preventive care to their elderly patients which in turn will help them achieve AOC milestones and save them money.
We have not built it but we designed its basic layout and function.
Due to the empathetic nature of our team members, we found ourselves trying to solve problems that had nothing to do with our chosen persona. We had to constantly keep each other on track and focused on our chosen persona.
We're proud that we were able to put together a submission package in an event that is so far outside of our comfort zone.
We learned about ourselves and our abilities to think through a complicated problem to come up with a possible solutions. Natalie is a health science major. Madison and Jon are healthcare administration majors. Together we researched and developed a possible solution that has the potential to change the delivery of healthcare.
We're future healthcare executives and will take what we've learned into our careers. Hopefully, a healthcare system somewhere out there will see the potential of this system and invest in its development.
Built With
java
python
sql | Project Prevention | AI/EMR/App integration for preventive care | [] | [] | ['java', 'python', 'sql'] | 10 |
10,520 | https://devpost.com/software/grow-your-health-an-expandable-app-for-virtual-healthcare | Inspiration
Our application was inspired by our own grandparents' struggles with current apps. Many times they open the application and immediately become overwhelmed by all of the menus and options. Grow Your Health allows the health care provider to enable and disable features to create a focus around what's really important. Thus, a user like Mary or Robert from the listed user personas would be able to have just a few buttons to tap in order to log information for their providers to see. If they have some sort of listening device like a smart speaker, they would be able to simply say their logged information and just need the phone or tablet to confirm that the information was added.
What it does
Phase I implementation of this application would consist of creating an interface that allows users to add diet, activity, and medication components. There would only be two options, add and delete, to simply the interface for the user. Phase II would flush out the rest of the "petals" of the application's flower structure, allowing for doctor's appointment reminders, lab results, and mental health resources to be accessed. Phase III of development would begin to offer more features that could be enabled but would not be default for most users. This would allow users, as they become more comfortable with the software, to begin to log and track more of their health information, putting the power in their own hands.
How I built it
Currently, the application is a user interface mockup with ideas for implementation that will be pursued after the deadline. We plan on using the python framework Kivy to create the application with calls to the electronic health record API provided to modify or update data. For the speaker component, we plan on creating an Alexa skill that knows how to open the app and is able to navigate the interface by voice instead of by touch.
Challenges I ran into
I anticipate there will be many challenges in the creation of this application. In addition to traditional coding challenges this application will attempt to integrate multiple platforms (Alexa, Android, Epic/EHR), which in and of itself will likely cause many issues. Although we are familiar with Python and SQL, we have never attempted to create an application before, so there will definitely be a learning curve to even get a simple interface up and running. Additionally, any sort of application that deals with health records is subject to additional scrutiny and regulation due to HIPAA, making the actual development of a working application that can be deployed that much harder
Accomplishments that I'm proud of
This is our first attempt at any sort of Hackathon or Application so we are proud to have accomplished a submission, even if it is as a concept. After this competition, we will likely continue development of this application to see where we are able to go with it, and what we are able to accomplish
What I learned
In the time allotted, we learned (1) a lot about the needs of older application users and (2) much about the Kivy framework. By the end of the project, I was able to create simple Kivy tools like a calculator, which, although not directly submit worthy to the project, is more than I was able to do before!
What's next for Grow Your Health: An expandable app for virtual healthcare
Phase I will consist of creating the interface described, with additional features possibly being added if the features in Phase I are well received.
Built With
conceptual
electronichealthrecord
python
Try it out
www.fluidui.com | Grow Your Health: An expandable app for virtual healthcare | Application concept that provides physician-controlled capabilities for managing healthcare in a clutter-free environment. The app grows as patients do to provide ease of access. | ['amendenhall137 Mendenhall', 'Alba Little-Sana'] | [] | ['conceptual', 'electronichealthrecord', 'python'] | 11 |
10,520 | https://devpost.com/software/hemocount-an-ai-based-white-blood-cell-counting-platform | Luke's case study
Comparision between manual and automatic AI-based process of WBC counting
AI deep learning architecture model of counting WBC
UI design of our app
Future Blood Count Implementation
Inspiration
Our project is inspired by Luke - One of the Personas. Here is his story:
Luke:
Hi Vi,
Hi my name is Luke, a Geriatrician. As you know, my job involves diagnosing health issues and plan treatment for elderly patients. Hence, I need to perform several blood tests every day to confirm the disease status for my patients everyday. My patients are in high-risked ages for COVID so I have to care for my patients virtually to ensure they are safe. With increasing concerns for COVID-19 testing and other diseases, I need to order more and more blood tests for my patients remotely via mobile blood draw service, which will send a lab tech would come to the patients’ house and draw blood.
I notice a long wait-time due the increasing demand for COVID blood tests. The laboratories such as Labcorp or Quest Diagnostics are overwhelmed with the amount of work. This long wait time can cause complications and worsen the conditions of my elderly patients. In my discussion with my virtual telehealth company and other partnered labs, we are all agree this is a big problem and really looking for a solution that can speed up this process and help reduce the wait time for patients. I see you are working a similar tech of blood counting using AI and this can potentially resolve our problem, that is why I want to talk more with you about your tech.
Vi:
Hi Luke, thank you for reaching out to me! Our solution will definitely help with your problem! I am happy to go over the solution with you.
What it does
In the manual approach, a sample of blood is placed under a microscope and a pathologist manually counts the number of cells in each frame. The total count is then extrapolated by assuming that the distribution is uniform across the entire blood sample and multiplying up.
Our HemoCount platform harnesses deep learning methods to classify four types of white blood cells: Eosinophil, Lymphocyte, Monocyte and Neutrophil. Then, it counts the number of white blood cell occurrences in a blood smear
The primary advantages of this approach are two-fold:
It requires far cheaper equipment (which will substantially reduce the cost for testing) and
It provides rapid result on a large scale of blood cell counting almost instantly.
Below, we can see a potential time-saving effect of our AI-based platform vs the manual process:
How we built it
Dataset:
This dataset contains 12,500 augmented images of various types of white blood cells (JPEG) with metadata in CSV form. That includes 3,000 images divided into 4 different white blood cell types (classes). We split train-test on 80-20 ratio for each of the classes.
Source:
https://www.kaggle.com/paultimothymooney/blood-cells
Training process:
For this project, we used transfer learning on a pretrained Resnet34 model with a slight modification to its last layer to attain an output of 4 classes.
Results:
We predict on the testing set and print out the confusion matrix:
-Eosinophil: Precision = 0.84, Recall = 0.90
-Lymphocyte: Precision = 1 , Recall = 0.99
-Monocyte: Precision = 0.73, Recall = 1
-Neutrophil: Precision = 0.91, Recall = 0.68
Overall, the model is performing quite well on most of the cells where we have precision and recall above 0.84. However, there does seem to be some confusion (low precision rate) between neutrophils and eosinophils, also neutrophil and monocyte (low recall rate).
App development:
Convert fast.ai trained image classification model to iOS app via ONNX and Apple Core ML. We develop our app in iOS because it is highly secured in privacy protection, especially for a sensitive data like lab test. This proves to be the main reason why many digital health and medical devices companies choose iOS as their main developing platform. Plus, iPad is widely used by doctors and medical staff across the world. This is the UI of our app:
What's next for HemoCount - An AI-based White Blood Cell Count Platform
In the next 2 months, our plan is:
-We will raise fund to invest more into the R&D process. We expect to implement an open-source state-of-the-art model discussed
here
for detecting all types of blood cells (different classes of WBC, RBC, and platelets) to improve our counting process as shown below:
-Eventually, we will expand our classes to include red blood cells and platelets. so that this platform can be widely used by the lab technologists for general blood tests. Our end goal is to make this tool so scalable that can be used in all the laboratories across the globe, even in rural areas with limited access to the internet like those in Southeast Asia or Africa.
Challenges we ran into
Vi:
This hackathon project was a very different experience for us which challenged us throughout this project with the Fastai. This is the first time we all were working with Fastai and creating endpoints of the pre-trained Resnet34 model. Deploying the trained model to iOS app is also time-consuming and take us a lot of trials.
Minh
:
One issue when developing this iOS app is to allow users to be able to select multiple images in the app. Since Swift does not provide any built-in library for that feature, we have to use external library called DKImagePickerController. It took a lot of effort to set up the library to be able to select and retrieve images correctly. We also want to visualize the result in a bar chart which Swift also does not have built-in library for that. Thankfully, we found the open source library called Macaw which helped us build impressive charts for our app.
Erick:
Working with fastai proved to be just that, fast. However, coming from a PyTorch background, understanding the distinct workflow and unique object properties of fastai was challenging, especially when the methodologies of PyTorch and fastai conflicted. Despite this, we were thankful for the rich documentation of fastai that is provided online. Aside from this, converting our PyTorch model to a Core ML model was somewhat of a process due to it being my first time experience with such tasks
Accomplishments that we're proud of
We manage to finish the project in such a limited time of 24 hours in our free time from school and work. We still keep striving to submit on time while learning and developing at the same time. We are really satisfied and proud of our final product for the hackathon.
What we learned
Through this project, we learn to implement a complicated image-recognition deep learning models from Fastai. We also learn the process of developing a mini data science project from finding dataset to training the deep learning model and finally deploy & integrate it into iOS-app. This project can’t be done without the efforts and collaboration from a team with such diverse backgrounds in technical skills.
Reference:
Souza, T. (2020, April 27). COVID-19 Machine Learning-Based Rapid Diagnosis From Common Laboratory Tests. Retrieved October 17, 2020, from
https://towardsdatascience.com/covid-19-machine-learning-based-rapid-diagnosis-from-common-laboratory-tests-afafa9178372
https://www.kaggle.com/paultimothymooney/blood-cells
Built With
fastai
google-cloud
mlcore
python
pytorch
Try it out
github.com | HemoCount - An AI-based White Blood Cell Counting Platform | HemoCount is an AI-based leukocytes (white blood cell) counting platform, which serves as an foundation for an automation and rapid diagnosis process for COVID-19 and other general blood test | ['Minh Nguyen', 'Erick Platero', 'Vi Ly'] | [] | ['fastai', 'google-cloud', 'mlcore', 'python', 'pytorch'] | 12 |
10,520 | https://devpost.com/software/q-up-gez2tn | Inspiration
Recovering and returning to normal in the face of COVID is not easy, especially when we now have restrictions on customer occupancy in clinics and stores. People will have to wait in long lines outside, thereby putting themselves at risk. Q-UP was made to solve this problem.
What it does
Q-UP lets you wait virtually using our mobile app within the comfort and safety of your home or car. To do so, a customer can book themselves a spot in a virtual queue and simply enter the store using the generated ticket when it's their turn!
How I built it
Built with ❤️ using Dart, Flutter and Firebase.
Challenges I ran into
Our app considers both the customer and the business. Therefore testing the app with two phones (one to generate customer ticket, and the other to scan the ticket as done by a business) was challenging.
What I learned
Learned a lot about thinking about an app from different perspectives since we had to take into account about the customer as well as the business.
What's next for Q UP
We would love to scale up this app and prove its worth beyond the context of pandemic by enabling people to make their waiting time productive!
Built With
dart
flutter | Q-up | Your phone waits in line so you don't have to. Virtual Queuing in the age of covid is necessary to ensure safety of customers, and even beyond the pandemic by making your waiting time productive! | ['Bhawika Bajaj'] | [] | ['dart', 'flutter'] | 13 |
10,520 | https://devpost.com/software/accessible-healthcare-sk2do8 | The Accessible Healthcare app Main screen
The Accessible Healthcare app Medications
The Accessible Healthcare app Heath Articles
The Accessible Healthcare app My Calendar
The Accessible Healthcare app Appointments
The Accessible Healthcare app Other Doctors
The Accessible Healthcare app Primary Care
Inspiration
Older rural citizens are in a great need of regular medical support. Because they don't have easy access to doctor's office, they need a new technology which will simulate the doctor's office experience. There is a way to contact a doctor using computer, but our personas don't know how to use a computer. They prefer to use a tablet and therefore need a tablet app.
What it does
Gives access to their health chart. Gives the ability to find doctors, request tests, renew medications, call 911, keep track of daily routines, update vitals for video calls, and sync their accessories to their chart.
How we built it
We used visual studio 2019 and C# Forms Framework. We also utilized our knowledge of HTML5 and CSS3 to find Sanford colors and icons.
Challenges we ran into
Finding time to work on the project. Exams and school work caused us to not be able to work as often as we'd have liked on it.
Accomplishments that we proud of
We learned a lot of different techniques that we will use in the future.
What we learned
We learned more things about C# programming. We also gained experience coding in a team.
What's next for Accessible healthcare
We hope that older people in the world will be able to get the medical attention they deserve without the need to spend too much money and drive long distances. Older people have rights to enjoy their freedom and receive necessary medical care at the same time!
Built With
c# | Accessible healthcare | Take care of older rural citizens | ['Yulia Condon', 'Jacob Bellamy'] | [] | ['c#'] | 14 |
10,520 | https://devpost.com/software/med-track-vw4327 | Inspiration
We have chosen the user persona of Luke he's frustration was it's difficult to get good patient history information and knows if and when his patients have taken their meds or if they are following his recommendations so we thought of addressing this problem.
It can be hard to keep track of when and how to take medicines. And the more medicines you take, the harder it may be. So we thought of building an app that helps you easily track your medicine without facing any hassle.
What it does
Our app all you need to do is click on scan QR code this will open a QR scanner, so if you scan the QR code, you can find the names of all the medicines that are there in the box.
Now if it's time for you to take your medicine all you need to do is scan the QR code that is there in the particular medicine and it automatically updates the database.
With the help of scanning QR Code, our app helps you know keep track of your medicine and also using our app you can set reminders and buy medicines
How I built it
It was built using Flutter, Dart and using Firebase
Challenges I ran into
Integrating QR Scanning and building a beautiful UI was challenging
Accomplishments that I'm proud of
Completing the app on time
What I learned
We learned a lot about Flutter and making beautiful UI
What's next for Med Track
WE would like to add more features and work on the app for launch
Built With
dart
flutter
Try it out
github.com | Med Track | Tracking your medicine and sharing it with your doctor made easy | ['Rahul Athreya'] | [] | ['dart', 'flutter'] | 15 |
10,520 | https://devpost.com/software/homehealth-voice | Temp Logo
Presentation Link
Inspiration
Our inspiration came from knowing how useful the power of voice assistants can be. Voice assistants can make life easier and simpler, and when it comes to healthcare, this is necessary.
What it does
The HomeHealth Voice is a Alexa skill (which could be expanded to other services) that enables patients to manage and interact with their data in a hands free simple way.
How we built it
The Amazon Alexa development page is an incredibly useful way for building skills for Amazon devices. It walks you through the steps of development and makes life easy for future updates.
Challenges we ran into
Integrating the Epic FHIR API ended up being a bit of a struggle. Documentation was not concise enough for the time we had available.
Accomplishments that we're proud of
A working Amazon Alexa skill is a pretty good feat for being full-time students. Our time is constantly limited so we are happy how far we got and how far we brainstormed.
What we learned
Python is an incredibly powerful language which can be leveraged in a variety of ways. Again, we didn't have all the time we wanted but things are possible in the future.
What's next for HomeHealth Voice
It is unknown at this time what comes next. It could be fun to explore the functionality of voice assistant skills for a plethora of reasons. We will have to see!
Built With
amazon
amazon-alexa
amazon-ec2
amazon-web-services
emr
english
fhir
python
Try it out
amzn.to | Health Voice | Putting Care In The Power Of Your Voice | ['Nathan Ord', 'Julia Scheaffer', 'Tyler Thomas', 'Jderenge Derenge'] | [] | ['amazon', 'amazon-alexa', 'amazon-ec2', 'amazon-web-services', 'emr', 'english', 'fhir', 'python'] | 16 |
10,520 | https://devpost.com/software/intelligent-gym-j8rl6x | Inspiration
Theft and violence are one of the most common problems and everyone cannot afford to keep a security guard outside their house so this system uses Computer vision to detect theft and violence .
What it does
Detects theft and violence
How we built it
Using openCv , python, image processing libraries like pillow
Challenges we ran into
Accomplishments that we're proud of
What we learned
What's next for Motion Detection
Built With
imutils
keras
numpy
opencv
python
tensorfow
yolo | Motion Detection | detects motion , helpful for identifying theft, violence etc. | ['Kushal Burad', 'Yash Burad'] | [] | ['imutils', 'keras', 'numpy', 'opencv', 'python', 'tensorfow', 'yolo'] | 17 |
10,520 | https://devpost.com/software/patientaire-vozm6p | Notification
Question Page (Pt. 1)
Speech to Text (Pt. 1)
Speech to Text (Pt. 2)
Question Page (Pt. 2)
Database
Website
# Patientaire
In this project, there contains a flutter app and website. The flutter app is a form that has questions for the patient to answer either by typing or using speech to text. Once submit is pressed on the questions screen, the data is sent to a real time database in Firebase. The data is then used on the website in real time to show the answers the questions that were asked in the app.
Built With
css
dart
firebase
flutter
html
javascript
Try it out
github.com | Patientaire | This is a solution to the persona Mary's problem of having to type her updates in an app. Now she will be able to use speech to text and receive notifications when her responses are needed. | ['Zach Wormstadt'] | [] | ['css', 'dart', 'firebase', 'flutter', 'html', 'javascript'] | 18 |
10,520 | https://devpost.com/software/fitsafe-56fuqj | Deleted
Built With
test | null | Deleted | [] | ['$75 Amazon Gift Card'] | ['test'] | 19 |
10,521 | https://devpost.com/software/my-journal-mobile | Menu Screen
Input Screen
Report Chart
Login Screen ( User: Demo / Password: demodemo )
Pager Duty Event
Pager Duty Event Rules Set (When a specific criteria is met a doctor or researcher can be notified)
Inspiration
I have a condition called Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) and I discovered that tracking my symptoms on existing applications was not very easy. I had to take matters into my own hands.
To learn more about ME/CFS, please visit my blog:
https://wisdom4.me
What it does
I originally created My Journal to help people such as myself suffering from a chronic condition to track day to day symptoms. The simplified interface is designed to be easy to use for patients suffering from significant mobility and/or cognitive issues. In the age of
Covid-19
, tracking patient outcomes has never been more important. Researchers can use the data collected to determine the effectiveness of treatments and/or for longitudinal studies.
How I built it
My Journal Mobile is a Web App built using jQuery. I added event notifications using
PagerDuty's Events API
. The backend was created on the LAMP stack running on AWS.
PagerDuty's Events API
The idea behind the PagerDuty integration is to provide a method for doctors and researchers to set certain criteria of interest to trigger a notification using PagerDuty event rules. This notification can call attention to cases of interest, or possibly save someone's life by alerting medical staff of worsening symptoms. So PagerDuty provides an easy way to be alerted of specific patients of interest without having to write a single line of code.
Challenges I ran into
Adapting the My Journal application for compatibility with low end mobile devices proved more challenging because of limitations of browsers on these devices.
Accomplishments that I'm proud of
I am creating a series of apps that I believe will be able to help people like myself facing chronic illness, including
Covid-19
long haulers.
What I learned
The biggest lesson here is the importance of UI/UX, as the goal is to reduce complexity as much as possible.
What's next for My Journal Mobile
I hope to continue development of the My Journal series of apps and to share them with patients suffering from chronic illnesses that require detailed tracking.
My Journal Mobile
link
Built With
amazon-web-services
javascript
jquery
mysql
pagerduty
php
Try it out
wisdom4.me | My Journal Mobile | With its easy to use UI, MyJournal Mobile is an essential tool for daily health/symptom tracking in the age of Covid-19. Health professionals can use the collected data to track health progress. | ['J M'] | ['PagerDuty - Most Unique PagerDuty Use Case'] | ['amazon-web-services', 'javascript', 'jquery', 'mysql', 'pagerduty', 'php'] | 0 |
10,521 | https://devpost.com/software/polls-web-app | Inspiration
Polls inspired me.
What it does
The Polls Web App has a question and answer choices. The user can answer the question by choosing one of the answer choices.
How I built it
I used Django to build it.
Challenges I ran into
I had to learn how to use Django by reading the documentation.
Accomplishments that I'm proud of
I am proud that I am able to use Django for the first time to create a web app.
What I learned
I learned how to make a web app for the first time.
What's next for Polls-Web-App
I can improve on making the Polls Web App.
Built With
django
Try it out
github.com | Polls-Web-App | This project involves using Django to make a Polls Web App. | ['May Deng'] | [] | ['django'] | 1 |
10,521 | https://devpost.com/software/ivite-create-events-instantly | Login/Sign Up
Chat Screen
Create Event
Inspiration
We were inspired to create iVite after reflecting on some of our worst experiences when planning events with those we know. When trying to plan a simple outing with friends, we recognized that there were always four major issues that were always present.
First off, everybody needs to be updated and reminded of the event location and time, along with any on-the-spot changes - But, there is no single solution to do this. Group chats turn into gigantic threads of messages, important information is immediately lost, and those who instinctively set their group chat notifications to "silent", will always miss out. Secondly, there is always a conflicting opinion on the where’s and when’s of the actual event or outing. With multiple people in a group, the suggestions, discussions, and conversations cloud what the real plan is and can lead to frustration. Last but not lost least, coming to an agreement when dealing with large groups is a hassle. Group chats offer no polls, get flooded with messages for every suggestion, and provide no way to see group consensus on important topics.
We saw that these issues were huge paint points and strongly believed that there needed to be a solution.
What it does
iVite is a simple mobile application that acts as an all-in-one solution for group planning and communication. Our MVP offers the core solutions to the major issues that outgoing consumers face over a simple and very intuitive user interface. With iVite, groups can communicate, plan, suggest, and decide on outings or events with a few taps.
Upon creating an account, users are given the option to either join a group or create one. Joining a group is as simple as entering a code and creating a group requires only a name. Admins of these groups can easily invite their friends or family via instant invite tools. Members are able to instantly create event suggestions where they can input a name, a location, and a time. These suggestions are sent out to the group and can be voted on by group members at any time. In order to ensure all members know of the event, a "nudge" can be sent by any member which sends a push notification and email to all members, reminding them to check iVite and vote on a suggested event. To provide a seamless decision process, admins can select event suggestions after viewing their individual polling results, pinning a clear and concise notice on the group chat where all members can view the event details.
Presentation and mock ups
https://youtu.be/fUW1vnd4DVw
How I built it
We built iVite using Flutter and Firebase. The mobile app is written using Flutter(
https://flutter.dev/
) and the backend is in Firebase.
Challenges I ran into
This was the first time we were using Flutter so we ran into many challenges understanding the Framework. One thing that was especially challenging was learning how to layout UI elements in Flutter. As you can see in the demo we intended to have a lot more implemented but the effort to get this far was rewarding.
Accomplishments that I'm proud of
We are proud to have learned about Flutter and made our very first mobile app in this hackathon.
What I learned
We learning Flutter, writing an app from scratch and a bit of UI/UX using the Figma tool.
What's next for iVite
We hope to sustain iVite's presence on public channels and look to incorporating more features in the future such as selecting events from paying sponsors, reserving restaurant seats, and playing early orders, as well as adding in-app search functions for listed events and happenings.
Built With
firebase
flutter
Try it out
github.com | iVite | iVite allows you to create instant events and invite your friends, family and colleagues to them with a few taps. Chat, vote, interact and plan your next outing with iVite. | ['Tony Trinh', 'Anish Khattar', 'Tony Trinh'] | [] | ['firebase', 'flutter'] | 2 |
10,521 | https://devpost.com/software/onlyipl-custom-ipl-cricket-reminder | onlyipl.com website (made with wix)
Simple commands to help you update, view and delete your reminders. You can watch live score and much more.
3 main services for 3 main scripts which later can be converted to public dashboard with some UI
With smart grouping and alert only if issue still persists after resolution, it really is an awesome feature
because of linear nature it required insane 50+ logic jumps
edited pagerduty v2 sample snippets and used it to bring more availability and transpareny in code
It's best if one process it running, but changes are in a way so that, even multiple scripts don't execute things which aren't necessary
There might be multiple instance running. few user might get multiple reply but then exponential delay saves situation during that period
Inspiration
After missing few game changing moments during IPL and statuses from friends, sharing those highlights, I realised that live excitement is very real. Because anything can happen. We're busy and can't allot time for the full game many times. I think it was super-exciting from beginning.
How to create your first reminder?
Open telegram. Find @onlyiplbot and hit /start
Chose options in typeform link we sent and done.
Done. You're all set
Additionally you can,
Type /live to see live score or upcoming matches
Type /all to see all reminders you've created
Type /delete to delete your all reminders and everything else (;
What it does
Create custom reminders with few simple clicks.
You can create things like.. (Remind me only when...)
MS Dhoni arrives -> It's Super-Over -> clash b/w fav rivals -> Batsman hits 80+ runs
Or even combine things to make things like...
When Rohit Sharma hits half century chasing 187 against CSK (Rohit Sharma is playing and batsman score is 50 and target is between 180 and 200 and team playing is CSK)
Major Challenges I ran into
Typeform
: Never ending forms? 50+ Logic Jumps and you won't even notice.
Telegram
: Hit /live and you get score twice or thrice. Weird right? I made sure only single script is running. And also made sure that it doesn't stop. (Orchestration workflow)
onlyIPL.com
: Easy with drag & drop for most part but responsiveness, graphic elements and micro-design changes aren't small task and requires time and effort
But biggest challenge was:
Live score
I needed to fetch live score and it was perfectly running fine locally, then I ran same code in aws-lightsail ubuntu instance -> which throwed 403 exception -> Sent request with specific headers -> tried selenium -> few sample codes of privoxy & sock5 -> No Luck [Desclaimer: didn't have raspberry pi setup currently :( ]
Going nowhere so I decided to make sure that it runs all the time on my laptop with repeating cycle
$python filename.py & [& in the last runs process in background. cool. isn't it?] -> But stops when terminal closed/stopped/quit etc -> nohup (Amazing command!!! <3 ) -> Stops when computer sleeps/shutdown -> aws Lightsail (Ubuntu) check's last status update for match -> And, instant notification if things go south!
Behind the scenes: [ When Rohit Sharma hits half century chasing 187 against CSK, It works and reminds me but How?] [Linear Scalability <3 ]
Conditional statements with AND statement
Millions of possible reminders, but for specific point of the game there are only around little over thousand possible events. [Ex, (team can bat, player can bat, target, score, wickets) are unique value for specific time]
Program calculates all permutation and send message for each of those
Accomplishments that I'm proud of
Solved a unique problem that nobody ever address with very minimalistic approach
Completely function website and telegram bot
Multiple telegram bot to function smoothly behind the scenes
What's next for onlyIPL - Custom IPL (Cricket) Reminder
Improved Statistics [% of active user, features that user like most, fav teams, Advanced suggestions]
Alert management [Failed APIs, rate-limit user based on reminders, automations]
Integrate with SMS/Whatsapp (Both requires budget and some extra planning)
Integration with Alexa/ Google/ Siri to create reminders in few seconds
Expand to other Games (e.g, I love Liverpool. Also love watching Messi and Ronaldo with specific constraints)
ALERT:
Although judging period is between 5 to 7 PM, have a look during live IPL match (between 7 - 11 AM PDT) to experience/try all features.
I made video in hurry so if you're still reading this after hackathon, please visit onlyipl.com for more details :)
Possibilities are endless. I am very excited for feedback, suggestions and all awesome reminders you create with this.
If you enjoyed this, Please Hit like button and stay tuned for updates!!
Built With
aws-lightsail
firebase
pagerduty
python
telegram-api
typeform
wix.com
Try it out
onlyIPL.com
t.me | onlyIPL - Custom Reminder for IPL [Cricket] | With busy life, people miss their fan moments on daily basis. With onlyIPL, you can set reminder for superover, your fav batsman or even, "When Dhoni is playing against MI chasing 200+ Target" | [] | [] | ['aws-lightsail', 'firebase', 'pagerduty', 'python', 'telegram-api', 'typeform', 'wix.com'] | 3 |
10,521 | https://devpost.com/software/edulligence | Student's Dashboard View - iOS Application
Teacher's Dashboard View - Website (hosted using domain.com)
Questions Queue View - iOS Application
Using MongoDB hosted in Google Cloud for the database
Inspiration
The purpose of education is for people to learn. But how do we uphold that idea if the current school system doesn't facilitate the feasibility for students to ask questions? Imagine you are in a giant lecture hall with 400+ students, and you have no idea what the professor was talking about. You wanted to ask questions, but you are too shy and afraid of it being considered as a "
dumb
question"
As students, we tried to analyze the fundamental reason why engagement between teachers and students is so minimal in most classrooms. In most cases, even the teachers themselves want the students to ask them questions! The best thing is, this is not only you. Most people also feel the same way. We understand this because we are all students that have been through that situation and want to break through the boundary of engagement! Thus, we developed ClassInsights, a real-time classroom engagement application designed for the betterment of learning!
What it does
The iOS mobile application allows students to rate their understanding from 'What are you talking about?' to 'Easy peasy lemon squeezy!' In addition to that, we also allow students to ask questions to be shown immediately on the professor's web dashboard. We allow flexibility for the students to choose either they want to ask questions with their names attached or anonymously—utilizing the computational knowledge API from
Wolfram Alpha
. That way, we can eliminate the students' shyness and fear of their questions being considered dumb, despite them being not!
The web application provides an intuitive and powerful dashboard for the professor. It features an average live understanding level of the students in the class so the professor can have an idea of how well the students keep up with their lecture! The professor can overview the list of questions asked by the students so that he/she can go over specific topics on the board that may confuse students. Even cooler than that, the website uses complex algorithms to summarize the numerous amount of questions to related keywords! Thus, it is useful for professors to analyze the classroom's understanding and go over specific topics of the lecture.
How we built it
We developed a mobile application for the students and a website for the professors. We used the Swift Programming Language to deliver the native experience for iOS! We also used HTML, CSS, and Pymongo for the website to provide users the functionality we want to present. We also used
domain.com
for our customized domain name for our project!
We relied on MongoDB as our database storage to store the list of questions and the classroom understanding levels, which is hosted in the Google Cloud server. We also implemented
Google Cloud Natural Language Processing API
to obtain the keywords that we want (which is obviously the ones related to the subject!) and
MongoDB Query API
to retrieve the latest list of questions, keywords, and process the real-time average understanding level among hundreds of students to be displayed in the dashboard!
Challenges we ran into
It was tiring and took us around two hours only to link the MongoDB database to the iOS application! We also find it challenging to create a query in MongoDB that suits our needs, which is to obtain the keywords from the list of questions directly in MongoDB! We also spent hours to understand the Natural Language Processing API to be implemented after we get the query results (the list of questions) ready from the query!
Accomplishments that we're proud of
For the product, we are glad that we can integrate both the website and the iOS application with the MongoDB database and its powerful and customizable queries (the Google Cloud Natural Language Processing API is very cool!) During the process, however, we feel immensely proud that we can collaborate and work with each other despite us never meeting each other in person. To solve this, we hosted numerous video calls during the 36-hour period.
What we learned
A clear and well-understood blueprint and planning for all are vital for a collaborative project!
What's next for ClassInsights
Provide more accessibility features for disabled students, able to collect class attendance, and work with numerous universities and colleges that suffer the engagement problem.
Built With
css
domain
google-cloud
html
mongodb
natural-language-processing
python
query
swift
uikit | ClassInsights | Solving the fundamental problem of classroom engagement in schools! | ['Michael Winailan', 'Tremael Arrington', 'Jaideep Cherukuri', 'Muntaser Syed'] | ['The Wolfram Award'] | ['css', 'domain', 'google-cloud', 'html', 'mongodb', 'natural-language-processing', 'python', 'query', 'swift', 'uikit'] | 4 |
10,521 | https://devpost.com/software/gitmath | GitMath: A Collaborative Way to Solve Problems
GitMath - App Wireframe
GitMath - App Designs
Inspiration
Math
has been and still is a very challenging subject for a lot of people around the world. The subject requires continuous teaching and practice for students. The lack of a unified collaborative platform for math has caused a gap in the mathematical fraternity. Due to this, a lot of people get demotivated to take up math during school and college.
The
COVID-19 Pandemic
has taken a toll on the educational sector. With the rise in demand for online learning and assessment, education standards are being compromised. Especially, for math teachers, it has become extremely hard to bring the blackboard experience online.
Also, there is no platform for
Machine Learning
and
AI Engineers
to get help in complex mathematical calculations during the development of algorithms. This can, at several times hinder the development of some potentially great algorithms.
To overcome all the above-mentioned problems, we wanted to build an application that enables
collaborative problem
solving at the comfort of a smartphone. We wanted to allow a user to create new repositories, fork already existing repositories to collaborate with them, and create a Pull Request once it's solved.
What it does
GitMath lets you create new problems, pull and fork existing problems to collaborate and contribute to and once it's solved, push it back to the main repository.
GitMath can also be used for
Classroom Teaching
and discussions where everyone gets a chance to learn. It can also serve as a great platform for teachers to give assignments and grade students accordingly.
Provides the closest experience of solving problems on pen and paper.
Helps
Machine Learning Engineers
in providing solutions to complex mathematical problems thereby helping them in developing powerful algorithms.
Can also be used as a
Whiteboard by Designers
to note down ideas and collaborate with other designers accordingly.
How we built it
Stage-1:
We built the
Wireframe
of the app using the basic tools i.e.
Pen and Paper
of course.
Stage-2:
Once we had the basic idea through our wireframe designs, we transferred & re-created some designs to a digital form using
Adobe Xd
.
Stage-3:
Coding and Developing the Application: We developed the mobile version of our idea using Google's
Flutter
which is an open-source UI software development kit and
Dart
for Server Side Communications.
We used
Google's Firestore
for our database storage. We also used Firebase's Authentication to provide for Email-based Sign In/Sign Up along with future support for other types of authentication like Gmail, Facebook or GitHub
Challenges we ran into
Our toughest challenge was to get the data from the whiteboard when a user draws or writes a problem on it and fetch the most recent whiteboard data from the database. The data was imported as SVG so we used Firestore's string datatype to handle it.
The next challenge was the Push, Pull, Commit parts of the app i.e. whenever a user updates a problem, contributes to another user's problem, or makes changes to their own problem these were to be recognized and stored accurately with proper version management. For version management, we used hashing to make it easier as well as to track the different versions of the app.
Accomplishments that we're proud of
Developed a fully functional app using Flutter and Dart as our primary development language.
The SVG from the whiteboard after we write or draw a problem is being parsed and sent to the firebase. It's also being fetched from the database after another user updates it or contributes towards it.
Developed everything from scratch, from the design of our app to a fully functioning app and also to our website in a 36 hour development time was the main accomplishment that we are proud of.
What we learned
We were just getting started with Flutter development, but this hackathon gave us an opportunity to dig deeper into Flutter and get a far better understanding of the concepts as well as the overall working of the user interface.
-. We learned to use Bootstrap Studio to develop websites as our teammate recently got his GitHub Student Developer Pack.
-. We also learned about adding OAuth based authentication to flutter apps
Getting the data from the whiteboard, how the SVG is parsed was another thing that we learned.
What's next for GitMath
Take the project to the public and try to develop a better UI.
Develop a Web Version of the project so that users can contribute or solve from their PCs and this will help
Schools and Universities
to make use of our platform while projecting the web version to a screen and students can solve them simultaneously from their devices.
Use
Natural Language Processing
so that if users write a problem or have a problem on a piece of paper, the NLP Model will recognize it and convert the writings from paper to a drawing/writing on the whiteboard.
Add support for complex
Machine Learning
/
Artificial Intelligence
Algorithms so users can solve or contribute to those types of questions.
Make the version management even better and if possible add support for iterating upon solutions given by users.
Built With
adobe-creative-suite
adobe-illustrator
bootstrap-studio
dart
firebase
flutter
google-cloud
photoshop
Try it out
gitmath.tech
github.com
docs.google.com | GitMath | A Collaborative Way to Solve Problems | ['Adithya Krishna', 'Chirag Chandrashekhar', 'Karthik Ravishankar'] | [] | ['adobe-creative-suite', 'adobe-illustrator', 'bootstrap-studio', 'dart', 'firebase', 'flutter', 'google-cloud', 'photoshop'] | 5 |
10,521 | https://devpost.com/software/shiprocket | ShipRocket-A3e6a
Inspiration
AUTOMATION
Automation is the creation and application of technologies to produce and deliver goods and services with minimal human intervention. The implementation of automation technologies, techniques and processes improve the efficiency, reliability, and/or speed of many tasks that were previously performed by humans.
In many manufacturing plants today, robotic assembly lines are progressively carrying out functions that humans used to do. The term ‘manufacturing’ refers to converting raw materials and components into finished goods, usually on a large scale in a factory.
Automation encompasses many key elements, systems, and job functions in virtually all industries. It is especially prevalent in manufacturing, transportation, facility operations, and utilities. Additionally, national defense systems are becoming increasingly automated.
Automation today exists in all functions within industry including integration, installation, procurement, maintenance, and even marketing and sales.
According to PC Magazine, automation by definition is:
“Replacing manual operations with electronics and computer-controlled devices. For example, ‘office automation’ replaced manual typewriters, filing cabinets and paper appointment books with computer applications.”
“Tape and disk libraries have been called ‘automation systems’ because robotic arms pick cartridges out of a stacker and move them to the drives.”
Artificial intelligence is gradually creeping into every aspect of our daily lives. Not only is it becoming more common in the workplace, but also in the home and even outdoors. Will it lead to a better quality of life and standard of living for humans, or a living hell?
Automation and the office environment
Over the past forty years, information technology has completely changed the office environment. Such functions as communication, documenting, correspondence, and filing have become fully automated. Offices today even feel and look completely different from what used to exist in the 1950s.
Apart from the huge difference in decibel levels, our offices today have much less furniture. Offices used to have loud typewriters, filing cabinets, and other furniture.
If we could travel in a time machine to the 1950s, the piles of paper would amaze us.
Automation in Car Plants
In the top image, I can see one human (yellow circle) and six cars. In the bottom picture, however, I can count six people working on just one car. Automation has dramatically changed manufacturing in car plants across the world. (Images: Today – autoalliance.org. 1920 – tchaunationalhistoryday.weebly.com)
The average office desk used to be full of materials and equipment. Examples included folders full of paper documents, calculators, phone books, staplers, diaries, and post-it-notes. There were also Filofaxes, sticky tape, pens, and even paper maps and atlases.
While some traditional office workers still keep a number of these items in their desks, technology, and automation have eliminated the need for most of them.
How many of us today use a map made of paper to find directions compared to thirty years ago? When you wanted to find somebody’s phone number, you had to look it up in a book. You could also telephone a service and talk to a human being. Today, however, we go online or talk to a robot programmed with voice-recognition software.
Automation and flexible working
Technology has shifted most office workers from a fixed 9-to-5 routine to flexible working. Thanks to the Internet, the Cloud, laptops, tablets, and smartphones, we can now work from anywhere. Not only can we work wherever we like, but also whenever we want to.
This flexibility means that people are now better able to manage their work-versus-life balance. However, we now have a new problem; we cannot switch off from work completely anymore.
Bank branches used to have lots of staff and customers in them. Today, fewer and fewer of us do our banking physically inside a branch. We do most of our banking either online or by talking to robots on the phone.
Even if we go into a branch, most of the now are full of machines and technology inside. These state-of-the-art machines allow us to complete our banking tasks. In fact, most of us could easily manage without ever having to meet a human banker face-to-face.
Automation - self driving cars
Professor Henrik Christensen, from the University of California San Diego’s Contextual Robotics Institute, believes that babies born today will never drive. Self-driving cars will be everywhere. He also predicts that a wave of companion robots will serve as health care, home companions, assistant robots, robotic pool cleaners, and many others. Some which are reviewed on Roger Corbinetti’s site.
Automation in the manufacturing environment
Manufacturing has undergone enormous changes over the past few decades. Employment in manufacturing in the advanced economies has declined considerably.
In 1996, fourteen percent of the US workforce worked in manufacturing, compared to just 8% today. That dramatic decline was in just two decades! Who knows what the percentage will be in two decades’ time!
Not all of those jobs have disappeared because of automation. Some jobs have shifted abroad to countries with cheaper labor costs. However, a sizable proportion of that loss has been due to automation.
ShipRocket-A3e6a, a product of Delta based C&P BAKING AND CATERING SERVICE LTD , is African first automated shipping software that aims to reduce e-commerce shipping to its bare bones. ... You can print bulk shipping labels and ship your products to in and around the world using a single Platform.
What inspired me of setting out this Project was as a result of my mom's health, this is my story? I lived in a typical village where there were no means of transportation, availability of water, lack of electricity. Habitat from my environment were all living in struggles that was 26yrs ago way back in 1994. My mom got ill and it became so severe that we had to sort for medication then the only pharmacy shop was located in a far away distance and no means of transport there. My relation happens to live in the city and he was the only one that could deliver the prescribed drugs to us but no means of transportation to our village. We had no choice than to make use of local made herbs to cure the ailment. It wasn't easy but with prayers my mom recovered.
An idea of creating a platform that can enable people print bulk shipping labels and ship your products to in and around the world using a single platform.
What it does
How do you ship using Shiprocket?
The Shiprocket platform is hassle free and simple to use!
Choose your shipment. Import all your orders with automated channel sync and select the shipment.
Select courier partner. Based on your requirement select a courier partner.
Pack and ship. Pack your orders, print labels and hand it over to the courier partner.
Track.
The most accurate way to find out when your order will arrive is to track your package.
...
Track your order with a tracking number
Open your Google Store order history.
Find the order you want to track.
Click Order details.
Click Track it.
Shipping Bill or Freight Bill is the invoice raised by Shiprocket for all the shipped orders from your account. This invoice is raised every 2nd and 4th week of the month. It contains all the details of your shipments such as shipping date, courier partner etc.
To accept return on your products:
Go to "Returns" from the left menu and click on "All Return Orders"
To see your return requests, click on the "Return Requested" button
Now, click on "Accept" to proceed with the return request
To initiate your return order, go to "All Return Order" tab
Next, select your preferred courier partner to arrange pickup for your order
Finally, generate pickup for your order
To cancel return on your products:
If you do not want to accept the return on your products, simply click on the "cancel" button to reject the return request.
Next, share a reason for the cancellation. The same reason will be shared with your buyer.
Finally, click on "Yes, Cancel Request" to submit your reason.
USING THE SHIPROCKET PANEL
Login to the ShipRocket panel.
Goto Settings – Channels.
Click on “Add New Channel” Button.
Click on WooCommerce -> Integrate.
Enter the store URL.
Click on 'Connect to Woocommerce'.
The Green Icon indicates that the channel has been successfully configured. Congratulations!
Editing an Order
Once an order is created or fetched from any channel into Shiprocket Account , you can click on the Order ID and get into the Orders Detailed Page. You can edit the following parameters in an Order:
Customer Shipping Address.
Shipment Details (Dimension and Weight)
The tracking ID is a string like UA-000000-2. It must be included in your tracking code to tell Analytics which account and property to send data to
Table of Contents hide
1 Shiprocket for COD orders
1.1 Location-based COD
1.2 Verification of COD order
2 Shiprocket For Processing COD/Prepaid Orders
2.1 Choosing a Shipping Company
2.2 Generating AWB number
2.3 Scheduling Pick up
2.4 Getting Shipping Manifest
2.5 Order Status
3 Shiprocket Salient Features
Shiprocket for COD orders
Location-based COD
At the time of placing a COD order when the customer puts her delivery pin code, Shiprocket runs a check through its serviceable pin-codes to check whether the same is available via any courier company or not. It accordingly hides or reveals the COD as a payment option. In case, the selected pin code is not serviceable for COD orders by any of the impanelled courier companies, only pre-paid payment options are allowed to be selected by the client.
Verification of COD order
When a customer places a COD order, a verification code is generated and sent as an SMS to the mobile number provided by the customer for verification. This functionality helps in segregating the unwanted or fake COD orders the store receives. Don’t worry, even if the COD verification fails due to any reason the order does not get cancelled or lost – it comes to your order panel with a pending verification status.
Shiprocket For Processing COD/Prepaid Orders
Choosing a Shipping Company
This is where the real magic starts. When you get the order in your order panel you simply need to click on the order, mark it shipped. The system automatically spits out the weight of the shipment. If volumetric weight is applicable, provide the volumetric weight and accordingly Shiprocket suggests the cheapest courier company providing COD or non-COD shipping services to that location. If one wishes, they can also manually overwrite in the shiprocket system and select other option courier company or also manually enter the carriers name and the Air Way Bill number if any.
Shiprocket - African number 1 shipping solution
Generating AWB number
Once a courier company is selected, Shiprocket automatically generates the AWB number and shows it on the screen. At the same time, the AWB number gets allocated to the respective order, gets populated as the barcode on the Shipping label and the invoice. The merchant can then take a print bulk or one at a time- stick the shipping label on the box and insert the invoice inside the box.
SCHEDULING PICK UP
Ensuring same day pick-up by courier companies, we have built a unique functionality of automatic pick up generation in Shiprocket.
It takes just a click of a button for carriers such as Fedex, Bluedart, Aramex and 13+ other courier partners to get information about the order, location of pick up, value of the order, weight and size of the shipment. As soon as they receive these details, a notification prompt for pick-up reaches the carrier.
Getting Shipping Manifest
Manifest is the last and most important step of shipping your orders. When the pick up executive from the courier company visits your warehouse to pick up the order, you can generate a copy of the shipping manifest which contains details including the order numbers, AWB numbers, product details etc. The manifest then needs to be signed by the executive. This is your physical proof of shipment which is then handed over to the courier company.
Order Status
Post the hand-over to the courier company, the order statuses automatically change from “Ready to Ship” to “Shipped” to finally “Delivered” in your Shiprocket panel. At every status update a system generated SMS and Email is sent to the customer – keeping ordering experience WOW and giving that professional sense to the customer.
Shiprocket Salient Features
Start shipping the day you go live
No minimum slab on the number of shipments
Invoice and Shipping formats as per the courier company and government agencies’ standard
Integrated with over 8 domestic courier companies, several local and ecommerce specific logistics partners are soon to get empanelled
Also, manage your eBay and Amazon orders
Certified logistics serve by Amazon India
Integrated with FedEx, Aramex and DHL international to support your international orders
Largest network, serving over 26000+ pre-paid and COD pincodes.
Ship your COD orders too, we will collect your COD and reimburse the same to you
International Ready: IP based pricing, fixed or dynamic currency conversions.
Transactional SMS and email integrated
One panel to view all order statuses by the customer.
Bulk Order Export
All the shipping history is saved on your panel for future reference
Interested? Visit Shiprocket page here.
Calculate Your Shipping Costs Now
Pick-up Area Pincode*
Enter 6 digit Pickup Area Pincode
Delivery Area Pincode*
Enter 6 digit Delivery Area Pincode
Weight '0.5kg '
Order Cancellation After Courier/label assigning:
After an order is labelled i.e a courier is assigned to the order, and you wish to cancel the order, then the same can be done from order internal page. By clicking the cancel button on the top right of the screen.
Enable Shipping For Your WooCommerce Store
Make order fulfillment seamless with a powerful platform
Start Shipping
WooCommerce is known for its user-centric platform for sellers
Opt for the Shiprocket integration to make your store even more powerful
Deliver orders faster and deploy a seamless order fulfillment chain!
Explore Shiprocket
How we built it
Why Shiprocket Is Your Ideal Shipping Partner?
widest reach
Widest reach
auto order sync and import
Auto order sync and import
label
White-labeled tracking page
Insurance
Insured shipments
pincodes
Multiple pickup locations
inventory management
Inventory management
Start Shipping Now
Don’t Miss Out A Single Location
Deliver to every customer who places an order at your website
Don’t Miss Out A Single Location
sell from anywhere
Sell From Anywhere
Schedule pickups from multiple locations
Let your chosen courier partners pick up products from different locations. Shipping from anywhere in the country is now a cakewalk.
Manage Inventory On One Platform
An all-in-one platform for an exclusive store!
Also manage your inventory on one platform to avoid any confusion with incoming and processed orders. Hit two targets with one arrow & save extensively on processing costs
Despite these advances, there are certain skills to which humans will be better suited than machines for some time to come and the question is how to achieve the best combination of human and robot skills. The advantages of robotics include heavy-duty jobs with precision and repeatability, whereas the advantages of humans include creativity, decision-making, flexibility, and adaptability. This need to combine optimal skills has resulted in collaborative robots and humans sharing a common workspace more closely and led to the development of new approaches and standards to guarantee the safety of the "man-robot merger". Some European countries are including robotics in their national programmes and trying to promote a safe and flexible co-operation between robots and operators to achieve better productivity. For example, the German Federal Institute for Occupational Safety and Health (BAuA) organises annual workshops on the topic "human-robot collaboration".
We are approaching a time when machines will be able to outperform humans at almost any task. I believe that society needs to confront this question before it is upon us: If machines are capable of doing almost any work humans can do, what will humans do?”
Our schools must restructure their curricula so that pupils get better training in math, engineering, technology, and science. There is a growing need for workers with *STEM skills as software developers, systems analysts, biomedical engineers, and some other fields.
Bill Gates automation quote
Bill Gates is an American business magnate, investor, author, entrepreneur, and philanthropist. He co-founded Microsoft with Paul Allen, which became the largest PC software company in the world. Since 1995, he has been rated by Forbes as the richest person in the world on many occasions.
Robotics is an interdisciplinary research area at the interface of computer science and engineering. Robotics involves design, construction, operation, and use of robots. The goal of robotics is to design intelligent machines that can help and assist humans in their day-to-day lives and keep everyone safe. Robotics draws on the achievement of information engineering, computer engineering, mechanical engineering, electronic engineering and others.
Challenges we ran into
It costed lots of funds and time spent in the course of this lucrative project.
Accomplishments that we're proud of
ShipRocket is my leading work piece as at 6yrs of technological and scientific researched.
Shiprocket will offers 26000+ serviceable pin codes in African and spread across over 220 countries abroad. Now access every corner of the world to deliver your orders hassle free!
What we learned
We learnt so much in the process and much more innovative ideas are pumping out of the mind. You must take risk to succeed!
What's next for ShipRocket
Well, having achieved this it will be of great privilege to showcase my work to the world and see positive ways it can create employment opportunities for the society.
Built With
c++
erlang
google-app-engine
google-apps-script
google-gears
html5
javascript
microsoft-band
powerpoint
Try it out
prosperfejiro128.wixsite.com
github.com
github.com | ShipRocket-A3e6a & Robocop Messenger | You can print bulk shipping labels and ship your products to in and around the world using a single platform. | ['Jessica Simmons', 'Torry Ormond', 'Prosper Fegiro', 'Craig Jeff', 'Barrack Prosper Oghenefejiro'] | [] | ['c++', 'erlang', 'google-app-engine', 'google-apps-script', 'google-gears', 'html5', 'javascript', 'microsoft-band', 'powerpoint'] | 6 |
10,521 | https://devpost.com/software/socionet-o9sx2j | Inspiration
We were inspired by the problems recognized in today's society, such as the consumption of social media which is decreasing in person social interaction, which is affecting the health of many. Also, during COVID-19, many people are not wanting to interact with others, which may turn into an unhealthy habit after the end of the virus. In order to facilitate social interaction with people in the same building, a five-mile radius, or on the other side of the mall, Socionet helps find many new people. We believe Socionet is the next generation of increased social networking.
What it does
Socionet connects many people through a map-based platform in a certain radius and increases local networking. Many people in this day and age, especially after COVID-19, will be hesitant to interact with new people outside of their home due to the spread of the virus. Many also interact more through social media than they do in-person, which has been proved unhealthy by various researchers from accredited universities. You can also increase local network with this app. For example, you can be connected on Facebook with the person on the other side of the neighborhood, but you could have never met them before. This is why Socionet facilitates this connection and allows you to connect, then interact, with that person through this platform.
How I built it
I build this through my expertise in the technological sector. I used Ionic3, Mongodb, Node.js, and the Appbox API in order to build the full application. The app is also released onto the app store.
Challenges I ran into
There were many bugs within the app after completion that took some time to fix and we are currently in the challenging phase of marketing the product. During development, we also encountered testing problems and are looking to test the app even further in order to update the app with bug fixes. We have already released one bug fix update.
Accomplishments that I'm proud of
I am proud of releasing the app to the iOS store.
What I learned
Through the development process, I learned about my companies values and ethics which were not pre-established. I was also introduced to ionic 3 and Mongodb, two technological tools which I did not know before.
What's next for SocioNet
Marketing and Company expansion, as well as, additions to the application to enhance user performance!
Built With
ionic
mapbox
mongodb
node.js
Try it out
apps.apple.com
www.vultumcorp.com | SocioNet | Socionet unleashes the next generation of social networking through a map-based platform, increasing physical interaction and connecting many people. | ['Maneesh Vallurupalli'] | [] | ['ionic', 'mapbox', 'mongodb', 'node.js'] | 7 |
10,521 | https://devpost.com/software/ecommerce | ECommerce Webapp 🎫 🏪🕶️
A model e-commerce web application made entirely using JAVA as back-end applying ORM principles of Hibernate Framework.
Tools & Technologies used 🎭
Front-end 💻
HTML5
CSS3
Javascript (ES6)
JQuery
Bootstrap 4
AJAX
Back-end 🖥️
Servlet
Java Server Page (JSP)
MySql
JSTL
JDBC
Maven build tool
DAO Design Pattern
C3P0 Connection Pool
Framework ⚙️
Hibernate 5.2
Payment Integration 💳
PayPal Payment Integration API
Note: To run this in your localhost clone the repository and open the nb-configuration file from NetBeans IDE.
MYSql 8 should be installed on your system with a database name ECommerce .
Uncomment 2nd line in Home.jsp(src-> main-> webapp) so that Hibernate will automatically make the required tables in your Database Ecommerce.
To access Admin Dashboard using Login As Admin use below credentials:
Email : a@ad
Password : a
Features & Screencasts 📱
Home Page
Login Page
Register Page
Single Product Page
Add to Cart & WISHLIST
Checkout Page
Payment Testing (Paypal API)
Admin Dashboard & All Transactions
Admin can add new Category & Product
Admin can also delete or update existing Categories
Admin can also delete or update existing Products
404 Error
License :rocket:
This project is licensed under the MIT License - see the [LICENSE.md] file for details
Built With
ajax
bootstrap
c3p0
css
dao
hibernate
hql
html
java
javascript
jquery
jsp
jstl
maven
mysql
payapl
servlet
Try it out
github.com | ECommerce | A model e-commerce web application made entirely using JAVA as back-end applying ORM principles of Hibernate Framework. | ['Ashutosh Tripathi'] | [] | ['ajax', 'bootstrap', 'c3p0', 'css', 'dao', 'hibernate', 'hql', 'html', 'java', 'javascript', 'jquery', 'jsp', 'jstl', 'maven', 'mysql', 'payapl', 'servlet'] | 8 |
10,521 | https://devpost.com/software/express-98vrdl | Circuit Design
Model
Model
Inspiration
Nearly everyone faces hardships and difficulties at one time or another. But for people with disabilities, barriers can be more frequent and have greater impact.
I got the inspiration from the device Stephen Hawkins had to use to communicate when he was diagnosed with motor neurone disease. He was able to move only one finger and he had to tap on a key to form words which were then spelled through a screen and speaker.
During this hack, I had a idea to relate this to people with mutism where people. In this case, people could use their complete hand and finger movements which could make communicating a lot faster.
This hack reminded me of the physically disabled in our community who are still not benefitted by technology, even some the students from our university whom I used to see daily.
Stephen Hawkin is a true example that even people with disabilities are equally capable and deserve to be treated equally and have equal opportunities.
What it does
The user has to wear this device and tap on his finger with other fingers. Just like tapping on a virtual keyboard that is present on your hand. These key presses are then converted into characters with which could be seen on the screen present on the back of the users' hand. Autocomplete algorithm is used which can be used to complete words or even sentences.
The image below shows the key-points (circles) where the user can touch to register a keypress. This shows a possible combination of 20+ keys.
Sign Language Recognition:
Flex sensors are placed on the back of each finger to measure each finger's bending. Measurement from flex sensor and gyroscope (hand-rotation) can be used as an input into our recurrent neural network to predict the sign language and it's meaning.
How I built it
This device is build by 3D printing it and attaching hardware to it. Code for the hardware is provided in the repository above. This code needs to be uploaded to an ESP32 development board which has to be attached to the components below.
For the simulation I used the following tools:
Circuito
for designing the circuit.
Tinkercad
to simulate the designed circuit
Sketched and ideas are drawn showing the core functionalities of the device.
The circuit requirements:
ESP32 - DevKitC [Qty: 1]
LCD Display 20x4 I2C [Qty: 1]
SparkFun MPU-6050 - Accelerometer and Gyro [Qty: 1]
Lithium Polymer Battery - 3.7v [Qty: 1]
Mini Pushbutton Switch [Qty: 8]
10K Ohm Resistor [Qty: 8]
USB micro-B Cable - 6 Foot [Qty: 1]
Lipo Battery Charger Module 3.7v Step Up to 5v [Qty: 1]
BreadBoard [Qty: 1]
Jumper Wires Pack - M/M [Qty: 1]
Jumper Wires Pack - M/F [Qty: 2]
Male Headers Pack- Break-Away [Qty: 1]
Flex Sensor [Qty: 5]
Challenges I ran into
Electronics or any kind of hardware is not currently available from where I come, stores and shops are closed and even Amazon is not able to deliver any as my city is in a complete lockdown and is having the worst COVID condition in the world right now. Without having the hardware, I had to sketch out all the circuit diagrams and models and create a simulation.
Accomplishments that I'm proud of
I am proud that this device could bring a change in the world and can help people who cannot speak for themselves. The circuit that I have build and the code I've written is working properly. This device shall be able hamper individuals’ ability to have full participation in society, the same as people without disabilities.
What I learned
Pixel Art
Tinkercad Simulation
3D modelling
What's next for Express
I am looking forward to use the prizes that I win from this hackathon to 3D print this device and buy the hardware to have a working prototype. I shall test this on people with mutism and have their feedback and work on improving it. I know this is not a perfect device but this is not the final version yet too. I am sure I would be able to take this project forward by getting more people interested and taking this in the market.
This device shall further promote inclusion among our community by:
Getting fair treatment from others (nondiscrimination);
Making products, communications, and the physical environment more usable by as many people as possible (universal design);
Modifying items, procedures, or systems to enable a person with a disability to use them to the maximum extent possible (reasonable accommodations); and
Eliminating the belief that people with disabilities are unhealthy or less capable of doing things (stigma, stereotypes).
Built With
arduino
blender
embedded-c
esp32
pixelart
tinkercad
Try it out
github.com | Community Service - Express | This device would let people with mutism to express themselves quickly like never before. Wearing this device will give them back the ability to talk to everyone. | ['Prasad Kumkar'] | [] | ['arduino', 'blender', 'embedded-c', 'esp32', 'pixelart', 'tinkercad'] | 9 |
10,521 | https://devpost.com/software/minify | Home page
User profile
View an item
Exchange functionality
Admin dashboard
The Minify app is built to assist the Habitat for Humanity of Champaign County, in increasing the number of donations made and to help rebuild a home efficiently and at a speedy rate. It also assists them in tracking and analyzing the donations information, by providing insights as to how many donations are successful each day versus the previous day, month. The trends and forecasts about the donation counts can give the Habitat for Humanity an overall perspective of how they should operate and plan their activities.
For more information
Inspiration
Most people do not want to give away their things easily. What if there is a platform where a person is able to exchange items that are not-so-valuable to him, with an item he likes that belongs to another user? For eg: if a person is moving out and doesn't require his bed, so he decides to exchange it with something more useful for him, through this platform. Also, there is an option for the user to donate that item and earn rewards. In this way, a person is encouraged to live a minimalistic life.
What it does
User Perspective
:
The platform helps the users post about the items/products that they no longer need.
After this, a user can either donate that item or use the barter/exchange those items with some other user.
If a user wishes to donate those items, he will have a chance to notify Habitat for Humanity about when he would want to donate. On donation, the user will receive an E-recepit and he will receive bonus points according to the amount of donations.
If a user wishes to exchange some of his items with another user on the platform, he can send a request to exchange to that user. On getting confirmation from both parties, the item exchange will be successful.
Admin Perspective
:
Admin will be able to track the number of donations each day with help of year-wise summary.
The demand for certain kind of products vs the actual donations in that category will also be tracked.
Admin will also be able to send disclaimers regarding demand of certain kind of products, which will help in getting speedy donations.
Insights regarding the trends of donation counts is also maintained.
Business Model
Target customers would be anyone who wants to live a minimal life and wants to get rid of the excess things he owns. People who want to switch to sustainable or eco-friendly alternatives should be targeted.
The app will be freely available to everyone. However, premium membership can be bought by customers, so that their products would be featured at the top of the page and those items would be potentially sold faster.
Granting rewards to customers who constantly engage with the app, can help increase the rate of donations.
Data related to type of donations and their timelines would be captured, to further improve the user experience in terms of recommendations and provides insights about the donation strategy.
To make users aware of the problem that exists and how we approach it, techniques like social media and email .marketing can be used. We can also use marketing with partner, exclusive offers, gamification strategies. Lastly, collecting user feedback, referral system and providing live demos is also useful.
How I built it
In order to build the web application, I used the following technologies:
ReactJs
: To build the front end of the app, where users and the admin can login and use various functionalities.
Flask
: To build the backend server, for integrating the front-end with the database.
MongoDB Atlas
: To store user data, product item information and data of the day-wise / weekly donations.
Python
: Analysis the donations data, to generate useful KPI's
Challenges I ran into
The datasets provided were in different formats. It was important to get it in a standard normalized format, to build insights on top of it.
Accomplishments that I'm proud of
I was able to analyse the data to forecast the number of donations in the subsequent months. This would help Habitat for Humanity, to allot staff/man-power and plan ahead of time, as the app would clearly show the expected numbers of donations that would happen.
What's next for Minify
The functionalities I wish to inclulcate:
Plot the users who wish to donate on a map, and schedule a time when a pickup truck will collect all goods from the same place.
Integrate a persons shopping list and track the items that he buys and notify the user if he buys a similar product in a short period.
Enable a rewarding system which will provide redeemable coupons to the user.
Capture features of donations like type of item donated, weight, estimated price, age, state of the item(used/ brand new) etc. which will be valuable in granting appropriate bonus points to the user.
Built With
flask
javascript
node.js
python
react
Try it out
github.com | Minify | A platform to create awareness about a minimalistic lifestyle, by encouraging people to donate items that they don't require. | ['Jui T'] | ['Wolfram Award by Wolfram Language'] | ['flask', 'javascript', 'node.js', 'python', 'react'] | 10 |
10,522 | https://devpost.com/software/local-lifestyle | Live Local
Why it matters
Future steps
TL;DR Why it matters
As the internet continues to make so many parts of our lives easier and more connected, our local communities and cultural identities are all too often disappearing. Locally owned businesses often act as the gathering place for these communities, but with the rise of excessive consumerism and large corporations, consumers often never even know about the locally owned businesses around them. Live Local is designed to solve these issues by providing a platform that allows local residents to discover the locally and minority-owned businesses around them, and become a part of a revitalized community.
Inspiration
Roughly 20% of small business fail in their first year, and by their fifth year, the majority of the ones remaining are either on the verge of closing or have closed already. After the first decade, 2/3 of all small businesses have folded permanently. Despite all the benefits that come with buying local, corporations with more marketing budget and more brand power continue to forcing smaller stores out of business, hurting local communities. Additionally, along with all the challenges the pandemic has caused us as individuals, local businesses have had to deal with their own set of difficulties that could cause disastrous outcomes during these troubling times.
A startling 70% of small business owners are concerned about finances due to extended closures, and a majority of them worry about having to close permanently. And this fear is not baseless - a recent survey found that over 7.5 million businesses are at risk of folding as coronavirus cases remain high. In the midst of this, news sources like the Washington Post predict that giant corporations and chains may be the only survivors in the post-pandemic economy.
Many large-scale applications like Yelp give a congested view of the market, with local business having to compete with chain business in many difficult ways that end up suppressing the few. Especially during these tough times, it is necessary for a community to support local businesses. In fact, over 90% of customers do prefer small business over big business, but due to inability to access quality stores quickly and easily, they opt for the latter.
In an effort to not only streamline the process of finding and supporting local business but also amplify the voices of minorities, we built the community-based Live Local.
What it does
Through an innovative social media style user interface, Live Local displays a feed of relevant pictures for the small businesses located in a specific region, which can be specified using the GCP search bar at the top. Users can easily star their favorite locations and access them at any time, even as their feed changes as more businesses are added and the algorithm chooses a different set of businesses to interact with. These starred businesses are stored in groups based on type of business (eg. restaurant, fashion, etc.) and utilize the picture layout as well. If users see a small business that interests them on their feed, they can click on the picture to get a more wholistic view of the business, easily gaining access to relevant information like address, a gallery of pictures posted by the business owner, and specific tags that represent the business. The key indicator of a minority-owned business is a clear difference in color on the feed, and tags give more specific information.
How we built it
Backend:
The logic was built as a layered architecture with repository, domain and controller layers for each class (User, Business and Post). REST Endpoints were exposed in order for a frontend to consume data (JSON). The Spring Boot jar executable was deployed to GCP App Engine from a local machine using Cloud SDK commands. The MongoDB database was deployed to a MongoDB Atlas cluster. To be able to connect the two, integration information was included into the application.properties file in the Spring Boot application.
Front end:
The front end of Live Local is written in Flutter, Google's new cross-platform native framework. Thus, the app can be cross-compiled for iOS, Android, Web, MacOS, and Windows. It also provided us with a super robust framework for creating the front end such that it meets the Material Design spec. The end result is a front end that is dynamic, and responsive, as well as easy to use, and accessible.
Challenges we ran into
Our time zones were all different and it was hard at times to schedule work or group calls, but we were able to communicate efficiently through periodic calls and goal setting. In terms of the code, we had varying levels of experience going into the project, and it tooks us a while to get going on the back end. By writing it in Java, we all knew what was going on, even if it took a little more overhead.
Accomplishments that we're proud of
We're proud we were able to create our ideal MVP and could successfully implement our main features, including filtering and the social media picture home page. We're also proud of being able to differentiate our app from other softwares like Yelp through our social media picture layout, our unique set of business tags, and our solely small business platform.
Our app helps expose truly small and local businesses by limiting their competition to their local area, and by not burying any business, like traditional search and review apps do with new and small businesses.
What we learned
We learned more about GCP and specific functionality offered, and some of our members were exposed to things like Flutter and Dart. With all of us coming from different coding backgrounds, we were able to learn from each other through the code.
What's next for Local Lifestyle
In the future, we plan to
implement a trip planning feature in which small businesses can get more recognition from tourists
employ a suggested business algorithm to increase exposure for businesses
allow user privileges like being able to post a business for those who sign up as business owners
add CI/CD, deploy from Github
add authentication
add third party APIs (Google Maps, Yelp etc)
Built With
flutter
google-cloud
java
Try it out
github.com | Live Local | Building local communities by supporting local business | ['Sanya Gupta', 'Syuen See', 'Nathan Dimmer', 'Anouar Hilali'] | ['First Place Presented by Oakland University Credit Union', 'Best Social Good Hack', 'Best Video'] | ['flutter', 'google-cloud', 'java'] | 0 |
10,522 | https://devpost.com/software/casper-the-candy-ghost | Casper!
Trapdoor and slide using a servo controlled by the ATMEGA
Raspberrypi and camera running a python program with OpenCV to detect faces
ATMEGA328P and wifi module
Face detection with Neil and his mask
RJ wearing his mask and Casper stating he has a mask
AI detecting no mask
RJ with no mask
Inspiration
We want Halloween, so we hacked a way to keep everyone safe with Casper. We wanted to create something that will positively impact the community and allow people to feel safe enough to participate in Halloween. By using incentives, like candy, people will be adherent to the Covid-19 guidelines by requiring them to wear a mask.
What it does
When someone comes up to Casper, the AI detects if they are wearing a mask and dispenses candy into their bag.
How we built it
We use a machine-learning algorithm and OpenCV on a Raspberrypi with a camera to determine if someone is wearing a mask. We created our own Haar Classification by taking pictures of our team members with and without masks on. To train the AI more, we also uploaded pictures from the internet of people wearing their masks. This allows the AI to pick up on more details and have a higher percentage of certainty when determining if the individual is wearing a mask or not. If the individual is wearing a mask, then the candy dispenser is put into a state where candy can be dispensed. The data from the Raspberrypi is then sent to our local server. In the local server, we compile the data and display the status of Casper as well as stats like the number of people who came, the number of people wearing a mask and no mask, etc. The server then transmits the data from the server to an ATMEGA328P microprocessor that is attached to an ESP8266 wifi module. Once the data is sent to the ATMEGA, the micro waits until a bag is detected under the machine. This fully automated process keeps people safe by having a hands-free way of delivering candy and also encourages people to adhere to Covid-19 policies.
Challenges we ran into
This was our first time developing an AI and our first time using a Raspberrypi. Most of the time early on was taken up by installing everything we needed to develop this project. OpenCV was giving us problems where it wanted different dependencies to properly install. We had to look up how to use facial recognition and how to train the AI to detect faces and masks.
Accomplishments that we're proud of
We developed our own AI! We have never used python for such a big project like Casper. We used a lot of hardware to gather data and a load of software to compute and interpret the data.
What I learned
We had a tough time setting up our hardware to behave the way we wanted to, but we learned what was needed to be installed prior to the. We learned how to create our own Haar classification to determine if an individual is wearing a mask or not.
What's next for Casper, the Candy Ghost
We hope if Halloween is not canceled for 2020, we would like to use this in our neighborhood to ensure everyone is safe having fun.
Built With
ai
c
c++
machine-learning
opencv
python
raspberry-pi
vhdl
wifi
xd
Try it out
github.com | Casper, the Candy Ghost | The friendly AI that detects if you are wearing a mask and dispenses candy hand-free to obey Covid-19 policies for Halloween | ['Evelyn Herrmann', 'Kyle Tomczik', 'Robert Thompson', 'Neil Fraylick'] | ['Second Place', 'Most Creative Hack', 'Best Use of Automation sponsored by Ally Bank'] | ['ai', 'c', 'c++', 'machine-learning', 'opencv', 'python', 'raspberry-pi', 'vhdl', 'wifi', 'xd'] | 1 |
10,522 | https://devpost.com/software/auto-mask-cap | Overall View of the Product
Finished board using ESP32 and H-Bridge
Prototype Board
Mask motor system
Our Story
This project is clearly inspired by the worldwide struggle due the impact that the deadly Coronavirus pandemic has had on everyone. Sometimes, we all just wish we could not think about it and it would go away. We can't ignore the virus, but maybe we could let machines help keep us safe and provide a hands-free peace of mind to the mix.
What does it Do?
The Auto-Mask Cap allows for a hands-free Bluetooth enabled deployment of a mask to protect you and your loved ones at a moments notice. As this is a software enabled mask, it eliminates any sort of risk of accidentally touching your eyes, nose, or mouth to keep you safe as well.
When used in conjunction with another Auto-Mask Cap, the Bluetooth functionality works between them to detect each other within Bluetooth's short range and deploy masks for both wearers who are entering the range. Once out of the range, the mask retracts so you can enjoy the air of your own space again.
Construction
The Auto-Mask Cap is constructed of stepper motors mounted with 3D-printed parts, designed in FreeCAD. These mounts are hand-stitched to the sides of baseball caps, and the electronics are mounted and sewed to the back of the hats for control. The motors and Bluetooth functions are handled by an ESP32 microcontroller and L239D Stepper Motor Drivers.
Challenges
While designing this project, we among other groups at Grizzhacks 5 had to find a solution to effectively, healthily, and safely design and implement our hardware project. By using as much time over Discord calls to design code, CAD models, and electronics diagrams, we did as much work digitally as we could.
In addition, we realized time is important when prototyping and 3D-Printing in a Hackathon. Every print ran is paid for with precious time, and finding ways to stay busy and progress the project was a struggle, but paid off in the long run.
Why is this Project Important?
This project is important because it helps demonstrate that robots and electronics are capable of doing more than manufacturing. Sometimes mundane tasks or dangerous tasks can be tasked out to technology, to the very silicon and electrons to limit the repetitiveness of everyday life. This goes no different for strange situations like a global pandemic. We believe that machines helping humans is a beautiful thing, and with this project, we are tossing our ideas into the wild to fuel more discussion on how machines can help with the COVID-19 pandemic going further.
What We Learned
In this project, we learned that time is valuable, and that being flexible and willing to jump in can help a project turn around in rapid time. While the prototype was being perfected, a more finished product was constantly being put together in the background following our completed steps. This helped us all stay busy and on top of our efforts, which led to our successes.
Where Could We See This Idea Go?
There are multitude of uses for this idea if it went mass market. For instance, one of the many ideas we had on how to implement this idea is how stores could add Bluetooth transmitters to activate the masks upon entry into the store. I believe that with more minds, the idea is so flexible that any idea could be beneficial to humanity. We wish and strive for a healthy world, to stop the sickness, and to make a more caring world with robot friends lending a hand.
Built With
3dprinting
arduino
esp32
hardware
steppermotors
Try it out
github.com | Auto-Mask Cap | A hands-free, thought-free solution to halt the spread of the dangerous coronavirus, COVID-19. | ['Kurtis Rhein', 'Matthew Bellafaire', 'Steven DeCoste'] | ['Third Place', 'Best Hardware Hack', 'Most Customer Obsessed Hack sponsored by Amazon', "FCA's Favorite Hack sponsored by Fiat Chrysler Automobiles"] | ['3dprinting', 'arduino', 'esp32', 'hardware', 'steppermotors'] | 2 |
10,522 | https://devpost.com/software/diveshot | Controls
Inspiration
Action movies where instead of taking the stairs, the hero gallantly dives through the air. It's the quickest route from A to B! Further inspiration came from classic arcade machines where the difficulty would eat up quarters.
What it does
Takes you on a skill based venture as the character dives through the air, armed with only a gun to defend themselves.
How I built it
Using the Godot engine, an open source game engine, I made the parent scenes that the children would inherit from and sent information back and forth to create an interactive and tactile experience. Using LMMS, an open source DAW, I scored the soundtrack for the various states that the character would be in, such as prepping, falling, and slowing down time.
Challenges I ran into
Getting the boss's bullets to fire properly was difficult, as the turrets on the boss were originally supposed to turn towards the player. As the offset of the sprites conflicted with my calculations, I made the decision to have to turrets be stationary. Instead, I made the bullets heat-seeking! I also struggled with getting the larger rocks to break into smaller rocks. I had to scrap this feature so that I could focus on the basic mechanics.
Accomplishments that I'm proud of
While I've been a hobby game developer for about a year, I've never completed an original game before and published it. Careful planning and culling ideas led to a project that was finished and published. I also made all the sounds myself, from the OST to the sound effects.
What I learned
Starting small with a very simple idea can bring a lot of joy as you build on that idea bit by bit. I also learned some new shader tricks, such as creating a CRT distortion and Chromatic Aberration effect.
What's next for Diveshot
More levels, more enemies, rocks that break apart, more diving and more shooting!
Built With
gdscript
godot
lmms
Try it out
syanic.itch.io
github.com | Diveshot | Survive obstacles as you dive through the air! | ['Julia Wang'] | ['Best Game'] | ['gdscript', 'godot', 'lmms'] | 3 |
10,522 | https://devpost.com/software/vopio-interactive-group-messaging-app-for-education | Inspiration
College lectures are not designed for students with hearing needs. Additionally, international students face similar struggles keeping up with spoken English during their freshmen year.
Personally, my significant other has a severe physical disability so every day we are challenged by a world that is not designed for us as an inter-abled couple. She faced significant challenges to finish her college degree. This project represents my first step towards making something more accessible to college students in the real world.
What it does
Vopio App generates subtitles in real time from the instructor's speech. Students can interact with the subtitles by clicking on words that interests them.
How we built it
Built it for Android and iOS, using Xcode and Android Studio.
Challenges we ran into
...This project is just one big barrier after another...
Video challenge:
I was not able to make a full demo video for this submission to GrizzHacks 5 due to personal circumstances -- my app is designed for assisting verbal conversations, which is not possible without another person to help.
Software challenge:
The biggest tech challenge are to properly integrate the Google Speech API to distinguish between two or more different voices using speaker diarization to identify different speakers in a conversation when they are both audible by the same phone/app.
Also, it has been a challenge to test the integration with Zoom SDK. Currently, the Zoom app marketplace requires school admins to pre-approve new apps before students can use it with their instructors during live classes.
Accomplishments that we're proud of
Just pushing through!
What we learned
Ask tough questions; push through regardless of personal circumstances; network with new folks!
What's next for Vopio App
Implement more accurate speech recognition and better user interface design; develop a web app version for easier integration with the Zoom platform.
Built With
android-studio
google-web-speech-api
kotlin
swift
xcode
zoom-sdk
Try it out
drive.google.com | Vopio App | Interactive live subtitles for deaf students and language learners. | ['Rod Mesquita'] | ['Best Mobile App sponsored by Quicken Loans'] | ['android-studio', 'google-web-speech-api', 'kotlin', 'swift', 'xcode', 'zoom-sdk'] | 4 |
10,522 | https://devpost.com/software/quickbite | Home Page
Home Page 2 (Search Bar and Mission Statement)
Home Page 3 (Who We Are)
Home Page 4 (Vision Statement)
Home Page 5 (Other Industries To Support Locally)
Restaurant Directory
Restaurant Directory With Cheap Filter
Spice Up Restaurant Menu
Find Restaurants Near You
Food Blog
Spice Up Blog Example
Contact Us / Add Your Business
Inspiration
We all know so many amazing small restaurants which make the best food. Unfortunately because of the difficult circumstance that we’re in, small businesses are losing lots of money because of a lack of customers. Companies like Doordash and Grubhub cater largely to chain-restaurants while pushing small businesses to the side. This problem inspired us to launch Quickbites in order to
help save the local restaurants
we all love.
What it does
Our website is a food ordering website
exclusively for small restaurants
. The user can filter through restaurants based on: distance, price, cuisine, and delivery/pick-up. We also run a food blog where every month we feature a different small business. You can learn about the restaurant’s history and even receive a
special discount
with a code! In our maps tab, you can use google maps to find a restaurant closest to you.
How we built it
We built this website using HTML, CSS, and JavaScript. We worked on a repl.it link and then transferred the code into GitHub at the end. We used some outside resources such as Unsplash for uncopyrighted images, a bootstrap website to find a template for our website, and a
Google Maps API
. We haven't used any real small-business examples in our project but we would like to if we make it professional in the future. As of right now,
we have used fake restaurants made by us
.
Challenges we ran into
We ran into some challenges when trying to work as a team because we all had very different ideas and lacked good communication. Another challenge we ran into was getting the Google Maps API to work and to do what we wanted it to do but we persevered and got it done.
This hackathon had many challenges but proved a great opportunity for us to learn
.
Accomplishments that we're proud of
We're proud of the Google Maps API because that part of the website took us a long time to hook up and get right. We are also proud of the blog page where we had to create lots of info. Many of the vector images on the website are also custom designed by our team.
What we learned
We have to manage our time very wisely. Our team spent a long time on decision making where we could have improved the website.
Communication is the backbone of a team project
and we really understood how we needed to improve after going through this project. We also learned how to navigate around a bootstrap and add in our own changes.
What's next for Quickbites
We would love to
expand our platform from small restaurants to small businesses in general
. We also want to fine tune our website so that the user can
order through the website itself
. Something else that we would want to add is
more filter options
where the user can select a price range, cuisine, specific distance, and delivery options. Another idea we have is to
incorporate ads for staffing
in small businesses because these new jobs are often not publicized enough, and this type of marketing will help people obtain jobs and support local businesses at the same time.
Built With
bootstrap
css
html
javascript
Try it out
github.com
quickbites.space | Quickbites | Find a quick bite while helping your local community. | ['Shreya Karnati', 'Stella Wang', 'Moksha Karuturi', 'Spencer Ritenburgh'] | ['Best Web App'] | ['bootstrap', 'css', 'html', 'javascript'] | 5 |
10,522 | https://devpost.com/software/spotifyrecommendations | An example of what the personalized recommendation page looks like.
A capture of what the landing page looks like.
Spotify Recommendations
What is this:
This
is a website made to give any Spotify user a personal recommendation from the Spotify's United States Top 50 songs playlist.
Why this project:
I made this project because I listen to music all the time. And the reason I love Spotify is because of its amazing recommendations. So when the hackathon started I knew I wanted to do something related. But I had no experience with the Spotify API or in creating a recommendation system of any kind. But after spending some time messing around with the API in a Jupyter Notebook and some google searches, I discovered I wanted to make a content based recommendation system.
This was my first hackathon and I decided to go in alone. This journey has been a great deal of fun and has taught me a lot. I plan to continue development on this website after the hackathon concludes.
How to use it:
Simply press the form button.
It will redirect you to a Spotify page to sign into.
Once that is completed you will be shown your personal recommendation.
How does it work:
It is a combinations of data collection from Spotify, data processing, and machine learning to create your personal recommendation.
1) Data Collection:
Pressing the button below will you take you to a authentication page for Spotify.
There you will sign into your account.
This grants the server temporary access to some of your music preferences.
With that permission the server requests your most played songs from the last 4 weeks.
Using the list of songs, the server pulls a list of features on each song including things like the "energy" and "acousticness" of the song.
2) Data Processing:
Spotify like most APIs returns jsons.
So the next step was to take the jsons and convert them to data frames.
Then lastly with the data organized, the data is scaled using a min max scalar.
3) Machine Learning:
The first step is to train a nearest neighbors algorithm on the music from the Top 50 playlist.
You can think of this like graphing all those points of a 9 dimensional graph.
Then the next step is to go through your most played songs and compare the features of them with songs from the playlist.
This is done by finding the Euclidean distance between each point and then picking the two points that are closest to each other.
Then this is what is presented on the recommendation page, the recommended song and the favorite of yours that it is similar to.
Built With
bootstrap
flask
html
python
spotify
Try it out
github.com
collinjoseph.pythonanywhere.com | Spotify Recommendations | A website to give Spotify users a personal pop song recomendation. | ['Collin Heck'] | ['Best "Other" Tech Stack', 'Best Party Hack'] | ['bootstrap', 'flask', 'html', 'python', 'spotify'] | 6 |
10,522 | https://devpost.com/software/elementovate | Inspiration
I wanted to build an application that I would/would've personally used, as well as find an audience that would use it as well. I remember when I was taking science classes back in middle school and high school, it was very tedious to me having to look up certain elements on the periodic table, and when I did find the element I was looking for, all I could see in that tiny little box were the element's atomic number, name, and mass. Some periodic table's did come with legends that would show which group every single element belonged to, but most of them did not. I wanted to find a way as taking a simple tool like the periodic table and finding a new way to make it easier for students to look up and find information about a certain element.
What it does
Elementovate is a mobile application that helps students learn the periodic table as well as use it as a tool for studying for future tests. It allows users to browse through a list of all the elements in the periodic table, and when an element is selected it brings up another screen with a box containing that particular element's name, symbol, atomic number, and atomic mass. When pressed, the box flips over showing more information about that particular element, like which group it was in, the state it is in, the year it was discovered, etc. Another key feature that the user can do is practice for quizzes or exams by choosing a selection of activities, like inputting the right name of the element when given its symbol and atomic number, choosing the right group that contains a certain element, and inputting the standard state for a certain element.
How I built it
I built this app using a mobile UI framework called Flutter, and utilized an external package for animations. I used Android Studio to build my app. I needed data for each element and I was able to find it in a JSON file on a GitHub repository called 'periodic-table-api' and then I was able to display different data for different elements on my app.
Challenges I ran into
I was unable to find an API online that I could send requests to , but I did find the repository mentioned earlier which helped me out a lot. Another challenge was trying to structure the widgets in my Flutter app in order for me to create a certain screen layout that I had envisioned. I was unable to implement stuff that I wanted to due to time constraint. I also worked alone on this project so it was hard to gather every little detail at the beginning and had to start implementing things as I coded the project.
Accomplishments that I'm proud of
I am really proud of the fact that I was able to build a mobile Flutter app in a short amount of time. I remember trying to make a simple to-do list app and it would take me a couple weeks just to build it. I entered this hackathon as a test for myself to see how far and how much I could do in a small amount of time as well as working on my own.
What I learned
I learned how to make each element box a different color depending on what group it was in. I also learned how to utilize and make different outcomes with inputted user data.
What's next for Elementovate
In the future, I want to build a search function that will allow the user to search up any element they want so they do not have to search for it by scrolling through the list. I also want to implement a legend that describes which color belongs to which group. I want to have different difficulties for the activities as well as have the user decide if they want to do the activity with a sorted list of elements or an unsorted list of elements.
Built With
android-studio
flutter
Try it out
github.com | Elementovate | A More Simple and Efficient Way to Use The Periodic Table | ['Kyle Java'] | ['Best Education Hack'] | ['android-studio', 'flutter'] | 7 |
10,522 | https://devpost.com/software/smokelook-com | Inspiration
My home state of California is on fire. The smoke from these wildfires can be dangerous.
What it does
Displays smoke forecasts in North America.
How I built it
I built it with vanilla HTML, CSS, and javascript, along with the Google maps javascript api.
Challenges I ran into
The main challenge was getting the smoke forecasting data.
Accomplishments that I'm proud of
I am proud of the user interface, because I am usually not very good at those but I think this one turned out good.
What I learned
I learned that I should do more research before I start coding to avoid coding something I will scrap later.
What's next for SMOKELOOK.COM
I would like to continue developing the user interface and make it mobile friendly.
Built With
css
google-cloud
google-maps
html
javascript
Try it out
smokelook.com
github.com | SMOKELOOK.COM | Smoke forecasting application. | ['Simon Boeger'] | ['Best Environmental Hack'] | ['css', 'google-cloud', 'google-maps', 'html', 'javascript'] | 8 |
10,522 | https://devpost.com/software/aqua-smarter-h20 | Intro Screen
Sign In Screen
Sign Up Screen
Home Page
QR Scanner Screen
Inspiration
Water
, the core element of survival for living beings on the planet and only 2% of the total water available is fit for drinking. Pure drinking water is scarce and expensive in some parts of the world.
Plastics
, the root cause of
Global Warming
is the main reason for drastic weather changes across the world ranging from solar flares to untimely sea tides. On an average, 275 million ton of plastics is dumped into seas every year out of which a majority of them are drinking water bottles.
According to the UN, 2.2 Billion people across the world do not have access to safely managed drinking water and it is mostly due to the lack of resources . We wanted to build a solution to all these problems through a mobile app. This led us to a one-stop solution,
Aqua
.
What it does
Aqua
, a smarter way to water is an end to end solution which helps a person to get water from nearby Drinking Water Kiosks through IoT based dispensing and helps a user track the amount of water consumed as well as the number of bottles he/she has saved.
A user can generate a QR-Code when he/she signs-up and then uses that in his/her water bottle. When scanned using the Aqua app, the response will be sent to a
Raspberry-Pi
controlled module, which is responsible for dispensing the right amount of water to a bottle. The person can pay towards the water bottle using the in-app payment gateway and a significant portion of the payment goes towards Charities working towards Saving Water, Reducing Plastic and more.
The user can also track the global stats of the other users of the app through his phone. He/she can also add money to their wallet and use it as a payment method towards Aqua. The app also has support for login through Social Profiles.
How we built it
After we got the idea, we made a list of the components, tools which we need and then procured the hardware parts.
Then we designed the app using Adobe Xd, Adobe Photoshop. Once the initial designs were done, we set-up the project using Facebook's React Native mobile framework. At first, the initial set of screens were done and then Firebase was setup for the backend part.
While we were developing the app, we also focused upon the hardware section, linking Raspberry-Pi to a servo and then initializing it with a python script and once it was done, we linked the script with our Firestore Database and set it up to work dynamically in real time.
Once, hardware section was done, we again shifted our focus towards the app and changed some designs of the app, in-app wallet management section, a page to track the overall stats were developed. Also we integrated payment gateway to the app to support for purchase of water through the app itself.
Challenges we ran into
The most difficult part was the linking of Raspberry-Pi with Firebase to get the real time updates through snapshots and from these updates, rotate the servo by an angle of 90degrees. After hours of googling and searching for solutions in stack overflow, we finally did it. Yay!
We had decided to with a square shape based UI for the whole app, and at times we had to redesign the whole screen when we couldn't add complex parts and redid it with easier and more eye-catchy components
Our team was together and one huge challenge we ran into was the frequent Power Cuts at our place and then we had to work on our stuff again if we didn't save our work :/
Integration of payment gateway as we had never done that before given the challenges concerning security and the complexity of the whole gateway-app-database connection
Accomplishments that we're proud of
We had set some milestones for ourselves during the whole process, one thing we are definitely proud and happy is that we successfully linked the Pi Board to change the direction of servo motor with real time data updating in firebase
We did some Jugaad with connecting our servo to the water can :)
The integration of payment gateway with our app with proper security and working of it. Once a user pays, the data is stored in our database also
What we learned
We were somewhat new to the hardware parts of the project and we had an amazing time building it. We learnt to link the Raspberry-Pi board with the firebase document to fetch the real time data from it.
We learnt to integrate one of the largest payment gateways in the world, Stripe into our app to support for in-app purchase of water.
Due to the power cuts, we also learnt a bit of patience also :)
What's next for Aqua - Smarter H20
Make it public, get on-board with the government agencies and add support for multiple water kiosks
Add profile editing sections, better customization and addition of dark theme
Built With
adobe-illustrator
android
firebase
gcp
git
github
google-cloud
google-maps
hardware
javascript
love
photoshop
raspberry-pi
react
react-native
servo
Try it out
github.com
docs.google.com | Aqua | A Smarter Way to Water | ['Adithya Krishna', 'Chirag Chandrashekhar', 'Karthik Ravishankar'] | ['Best Finance Hack', 'Innovation is the Key to Success sponsored by Comerica Bank'] | ['adobe-illustrator', 'android', 'firebase', 'gcp', 'git', 'github', 'google-cloud', 'google-maps', 'hardware', 'javascript', 'love', 'photoshop', 'raspberry-pi', 'react', 'react-native', 'servo'] | 9 |
10,522 | https://devpost.com/software/fiatlux | Inspiration
It is a special hackathon for all of us because of the global pandemic and thus we think COVID-19 will be a suitable topic to explore and build something meaningful that can serve the community.
What it does
We integrate Computer Vision model into our mobile app to detect every pedestrians on the road and identified each of them with two indexed: are they wearing masks and the distance between them with the user. If they are too close with the user and they don't have mask on. The UI will change and the warning sound will be triggered to notified the blind people.
How we built it
We use Flask as the backend with Pytorch to construct and train the CV model. For the frontend part we use React Native to build the mobile app
Challenges we ran into
At first we wanted it to be a full-stack javaScript project, so we decided to use React Native only with tensorflowjs to train the model. However because of the inexperience of using React Native, we ran into several bugs that does not allow us to load the TFJS model, and it was the most frustrating time during the entire hackathon that cost us around 5 hours to debug. Eventually we still cannot solve the problem which force us to switch from full-stack JS with Flask as a backend to serve as a RESTful API
Accomplishments that we're proud of
Each of us we have done something that we have never done before. For example Steven did React Native, Prince did Backend and Richard did Machine Learning all for their first time.
What's next for FiatLux
We plan to beautify our UI and add more functionalities such as adding direction notifications for the blind people, and can add detections for the barriers.
Built With
flask
javascript
python
pytorch
react-native
Try it out
github.com | FiatLux | A mobile app that will assist blind people during COVID by telling them whether the pedestrians are wearing masks and notify the user when they are getting close (< 6 feet) | ['Steven Chang', 'Richard Xue', 'Prince Wang'] | ['Best Social Connectivity Hack'] | ['flask', 'javascript', 'python', 'pytorch', 'react-native'] | 10 |
10,522 | https://devpost.com/software/sahayak-rwy890 | Inspiration
We know that our health should be our top priority but when we talk about health people often concerned about their physical health, what about our Mental Health?
The main inspiration behind
SAHAYAK
is the increasing rate of mental health issues such as depression, anxiety, etc. From teens to adults, anyone can get affected by depression.
Depression has become very common in today's world, so there is a strong need to talk about this. We need to create awareness among people because such mental health issues can be very serious, it can even lead to suicide!!
We don't know what can cause these mental health issues, even our daily life problems can push us towards depression. No matter if you are a woman/man who is working or if you are a student dealing with high school or college stuff(which can be pretty exhausting sometimes), depression can attack anyone. So we need to be concern about our mental health, and to address this issue we came up with
SAHAYAK
.
What it does
When we deal with problems, we first try to handle the problem by ourself but when we can't handle that anymore we seek others to help(which is definitely the right thing to do), but it has been observed when it comes to problems like depression people usually hesitate to talk about it.
SAHAYAK
also works like that. First, it helps you to recognize your mental health condition then it provides you solutions to help you by yourself but if your condition is very serious then
SAHAYAK
recommends you counselors to seek help.
Basically SAHAYAK is a mobile application that predicts your mental health condition using Machine Learning based on your answers and then it provides you solutions in the form of various recommendations like a book recommendation, movie recommendation, song recommendation, yoga asanas, and counselors recommendations.
SAHAYAK
is very easy to use. First, you need to create an account on
SAHAYAK
, then start the quiz and answer the questions honestly. After that, it will show you the result and solutions required to help you.
How we built it
We made it in four parts/steps :
Part 1
: In the first part, we worked with Machine Learning. We created the machine learning model to predict depression using TensorFlow, Keras, and other libraries. First, we analyzed the dataset and removed the useless features. Then we studied the relation of features and filled the missed values. Then we compiled and fit the model and calculated the accuracy of our model which turned out to be around 76%.
Part 2
: In the second part, we worked with android development. First, we made the account registration and login page. Then we made the home page, the quiz page, the result page, and the recommendation page. After making the required pages we merged all the pages.
Part 3
: In the third part, we integrated the app with machine learning. We converted the machine learning model(that we created in
part 1
) into tflite model so that we can integrate this tflite model with our app in the android studio.
Part 4
: In this part, we applied the blockchain technology to our app. We added the feature of the transaction using bitcoin in our app. At last, we gave the required finishing touch to our app.
Challenges we ran into
Everyone faces a lot of challenges in their way to build or to achieve something. We also ran into many hurdles which were quite challenging.
We faced many problems in integrating the machine learning model with the application but eventually, we did get over it by researching a lot on google and youtube.
Also, the integration of blockchain technology with the app was quite difficult.
We faced various other problems while building this project but with the support of our team, we eventually got over them.
Accomplishments that we're proud of
"Every accomplishment starts with the decision to try" ...Well, we have tried our best to convert our idea into an innovative solution and we are pretty proud of that.
We are proud that we used our skills to use this time to do address this serious issue of mental health.
We are also proud that we worked with the team spirit and overcame the challenges together as a team.
What we learned
a.
Teamwork
: We learned that anything can be achieved if we work as a team. Teamwork is really a very important trait that we must have. Teamwork is required in every field to produce an effective result and we are glad that we have learned it during this project.
b.
How to come up with a solution in such a small frame of time
: We learned how to think of a solution and how to implement it when you have limited time. It enhances our innovative thinking process to land an innovative idea.
c.
How to integrate technologies like Machine Learning and Blockchain to an app
: Technologies like Machine Learning and Blockchain are trending a lot in today's world and to integrate such technologies can be challenging(especially if you are a beginner) but because of this project we learned this too and it really enhanced our skills.
What's next for SAHAYAK
There is still a lot that we can implement in SAHAYAK:
a.
SPEECH RECOGNITION
We can add speech recognition to the application which will increase the ease to use the app.
Speech recognition will make this app a worldwide platform and can help everyone.
b.
Prediction of other MENTAL DISORDERS too
Currently, SAHAYAK detects if a person is suffering from mental trauma/ depression but in the future, we can add various mental disorders such as anxiety disorder, bipolar disorder, mood disorder, personality disorder, and post-traumatic stress disorder. You can check yourself by attempting the quiz and we will provide a solution to your problem.
c.
ONLINE THERAPY
In the future, we can add online counseling with famous mental health consultants so that the person who wants to try therapy can directly take the sessions on the app. We have already provided you online payment through bitcoins, so users can perform a safe and secure bitcoin transition. This integration will also enhance business.
Built With
android-studio
ethereum
flutter
infura
keras
machine-learning
metamask
tensorflow
tensorflowlite
Try it out
github.com | SAHAYAK | A platform which encourages you to take care of your mental health. | ['Vanshika Namdev', 'Amisha Sharma', 'Ayushi Tyagi'] | ['Best Machine Learning Hack'] | ['android-studio', 'ethereum', 'flutter', 'infura', 'keras', 'machine-learning', 'metamask', 'tensorflow', 'tensorflowlite'] | 11 |
10,522 | https://devpost.com/software/game-sense | Gameplay Footage Capture
Video Game Details
Checkout
Order Confirmation
Inspiration
Once I was looking at someone's video game footage on a tiktok video and wanted to know what game it was. The post didn't mention the title nor did the comments. So we used machine learning to solve this problem.
What it does
The user takes an image with their camera of a video game and the machine learning algorithm processes it to try and guess which game it is. The user is then brought to a page with details about the video game obtained from the IGDB database. From there, you can choose to buy the video game and are brought to a checkout screen.
How we built it
After brainstorming the idea, we decided to plan out the design for a few hours. Once we were happy with the design, we began researching how to implement machine learning and object detection into iOS through the camera. When the machine learning algorithm was designed, we began training it with several iterations of images of popular video games and tested it. After hours of testing, we were satisfied with how precise the ML evaluation became, and began implementing it into our iOS application.
Challenges we ran into
iOS XCode environment does not allow for more than 1 user to work on the same part of a project effectively
Gathering data to train machine learning algorithm requires a lot of human oversight
UI/UX is very meticulous to implement and make it look right
Accomplishments that we're proud of
Implemented machine learning object detection to detect video games from an image
Learning about and implementing some of the IGDB video game database
What we learned
Machine learning requires a diverse set of _ training _ images to accurately recall test objects
UI/UX requires plenty of planning to create a professional/good looking interface
What's next for Game Sense
Create a better machine learning algorithm to detect games better
Add sound detection for in-game sound effects or music to help the image object-detection guess the video game
Integrate marketplaces so users can purchase the games they find from respective merchants
Add more games and integrate a video game database to display more information about titles
Built With
alamofireimage
coreml
igdb
swift
xcode
Try it out
github.com | Game Sense | Look up games you don't know the name of, by using our ML Video Game Classifier App. | ['Will Huynh', 'Baraa Hegazy'] | ['Best UX/UI'] | ['alamofireimage', 'coreml', 'igdb', 'swift', 'xcode'] | 12 |
10,522 | https://devpost.com/software/content-warning-o97y15 | Inspiration
We are students who are interested in research - meaning we understand the unforeseen topics and language that can appear in articles or historical documents. We set out to make an app that could detect any of these unforeseen topics that could have a harmful effect on the reader. In short, we wanted to make reading on the internet a safer and more comfortable experience.
Function
The application takes in text and scans it for harsh or offensive words and returns if there are any in three categories: sexually violent, physically violent, and slur(s). The user may also submit a url and the text on the page will be scanned and will return if any of the three categories are present. The user has a third option as well: to submit an image URL of a picture of text or handwriting. The Google Cloud Vision API will pull the text and do the same as the rest. We also measured sentiment of the entire text of whatever is input to be read - hopefully to guide those in decisions about reading articles. (There is a difference between a feminist movement article (positive emotion, empowerment) that uses cw words compared to a newspaper brutally describing a murder. (very negative))
How we built it
Front End:
The front end of the program is coded using KivyMD, a fairly easy to apply UI Framework on Python. The goal of the user side is to intake either a website URL, a transcript of a text, or even URL to a picture of text that the user wants to scan for possibly explicit words or phrases. Kivy was used as a baseplate for the application, and to make a smooth and easy on the eyes program theme that is easy to understand and straight to the point. A screen object was made, which on startup prompted a message which informs the user about what Content Warning is used for (and also gives information about the team and helpful links regarding the topic of sensitive content). The screen object also houses the text field the user puts their content into, and the buttons they use to submit said content. One button is used to recognize the input as an article URL or a transcript, and the other to see it as an image URL. After the input is sent to the backend and processed there, the UI puts up a message box stating whether or not the content had expletives, what types it had, how many of each type, and even the general tone of the content, deemed overall positive or negative by the back end.
Back End:
The backend was built on sheer luck and determination. The entire backend was built using Python. For the language processing (including stop_words, token_words), we used the NLTK 3.5 Natural Language Toolkit to provide more realistic and better controlled data. The toolkit also automated the Sentiment - Analysis portion of our program.
To put it simply:
The first half of our main.py file are kivymd design and build functions to create a web application. The last half are open and close dialog windows, several buttons, and the functions that make those buttons work. Also, there are the two functions that either pull text from a website, or use google cloud vision api to remove text from photos. (Both document_text_detection and text_detection were originally included, but document_text_detection fit our needs by itself.) The helper.py file is where the analysis-of-language functions come into play while the .txt files are what harbor the explicit content that we are searching for.
Explicit Content Database:
The collection of words that we decided to flag was the result of much research into the surprisingly large amount of guidance on content warnings. The University of Michigan LSA has a great article
link
outlining the types of things that should be warned for. Using that and the great databases of slurs and harmful language compiled by the Anti Defamation League
link
and Wikipedia, we were able to come up with a list of words and phrases that we felt were common enough in various forms of media and historical documents to warn about. This list is by no means exhaustive, it is missing hundreds of words that can cause (or retrigger) trauma but to list them all would be an exercise in futility. We decided that our list would be sufficient to warn the user with the vast majority of harmful language a vast majority of the time.
Challenges we ran into
Our project began with a challenge, when we learned that twitter had banned the Python library (GetOldTweets3) we were planning on using in order to do our initial idea (we found this out on friday at 7:45 PM), which was loosely based around sentiment analysis and maybe a google map API or four.
We had a number of more technical issues such as formatting issues in the front end of the code when we tried to make the UI more complex. None of us have ever worked with Kivy to make UIs before (or any frontend framework), so some of the complexities of its variable logistics were lost to us. The iteration we landed on didn’t have too many issues, but we were incapable of finding a way to add multiple screens to the program. To be specific, Kivy uses it’s own language when compiling more advanced UI, and within this language, we could not find a way to move variables between the front and back ends. This may also be because we attempted using kivymd - the google implemented material design version. This version is still in beta, is slightly (very) unstable, and is why we did not demo our video from the windows command prompt.
One of our largest problems was working as a team to integrate our code together with kivy. As previously stated, only one of us has had any type of formal coding education outside of high school (and that’s only two intro courses.) It was difficult to work as a team and figure out how the backend related to the front end. It probably didn’t help that all of the packages and libraries we used were completely new to us, or that we’ve never made an app before... - but it worked!
Towards the end of the competition, we thought it would be a good idea to try and “prove” Content Warning as a web application and decided to package it for Windows. This was more of a personal feat, as we could demo our program on Spyder just fine. We began that process at 11 PM, was in a meeting with three sponsor developers (who I owe s o much appreciation) until 3 AM, and finally debugged the rest of the package file at 4:30 AM. As kivy.md is a bit unstable, especially being on Windows, we decided not to showcase our packaged web app through the command prompt - but please rest assured: it does exist.
Accomplishments that we're proud of
The moment we screen shared our first “test run” together in a Discord call was one we will never forget. Our application, after integration and for the first time, worked… The 30 seconds of silence and yelling that came after will be stuck with us forever. We have a functioning application that is ready for deployment (if only locality and money didn’t matter!) The GUI is pretty, works well, and the backend is almost fool-proof (but please don’t test that.) We made it through 36 hours as a team, all of us at our first hackathon; and we all created something that we are proud of.
What we learned
Bennett:
As a person who is well situated outside of the computer science community, I have a newfound respect for the work and the people who do it. Working on this has been exhausting for all three of us, but it was incredibly enlightening to watch my teammates toil for hours over lines of text that might as well have been matrix rain to me 36 hours ago. My role in the coding of the project was minor, however, I learned so much through what can only be described as osmosis by being in the same room (and calls) as my teammates. Could I embark on something like this on my own? Absolutely not, however, I understand it in the abstract much better than I did previously.
Tyler:
As a person only now starting to get situated in the computer science community, I had a lot to learn going into this Hackathon, and that much hasn’t changed. Working on Content Warning gave me the perfect opportunity and incentive to learn how to use and apply specific modules to do specific tasks for pretty much the first time outside of entry level programming courses. I can only describe the knowledge I gained about using KivyMD and GUI programs in general as invaluable. I entered this project knowing absolutely
nothing
about the topic, so the information I’ve gained along the way has made me feel infinitely more competent.
Savvy:
The main objective that I had wanted to reach was just to finish whatever we began. After a few hours, that turned into: “I’ll settle for the demo sticker!” Now that we have a working application, with a nice GUI (thanks Tyler!), and Google Vision API functionality - I couldn’t be any more surprised or excited. It was challenging to jump from idea to idea but when we thought of Content Warning: all the pieces fell together. I’ve known that social computing is what I want to have as a career for a little bit now - but this is the first time I’ve ever applied it. I can see this application growing and becoming useful at libraries, universities, and so much more. I can’t begin to describe the emotions I feel for having our first working application look and perform so well. I hope to get working on this hack and am so excited to learn more!
What's Next for Content Warning
Due to cyber security measures, most websites can not be scraped and thus will not work with out current program. We would like to make our application have an embed feature which would open up more websites for analysis. Furthermore, we want to look into collaborating with universities and libraries to run our program on their digitized texts to create a safer educational space.
Hopefully, this application can help others in the future; that’s all we can hope for.
Built With
anaconda
cloud-vision
google
kivy
kivymd
natural-language-processing
nltk
python
spyder
urllib
Try it out
github.com | Content Warning | Content Warning is a text/document scanner that creates content warnings for websites, texts, and documents to help prevent users from stumbling upon potentially harmful language. | ['Savanah Barnes', 'Bennett Walling', 'VinVigo Branham'] | ['Best Rookie Hack*', 'Best Write-Up'] | ['anaconda', 'cloud-vision', 'google', 'kivy', 'kivymd', 'natural-language-processing', 'nltk', 'python', 'spyder', 'urllib'] | 13 |
10,522 | https://devpost.com/software/help-vault | Github Link -
https://github.com/priyanshu20/Hackathon
Inspiration
A trivial help from your end might make someone's day and most of us are willing to help. Introducing "Help Vault" a platform to facilitate us give and take.
Setting up a video conference to teach a class might be easy for you but for someone it can be a nightmare, we wanted to build something that connects these parties/
Also during emergencies every second counts so we also try to tackle that by notifying others nearby.
What it does
Provides a platform to allow people to easily offer and receive help. Even Allows us to swiftly spread word of an emergency and minimize as much of a damage as we can before professionals are called.
How We built it
For building Help Vault we used
Kotlin
language for building a user friendly native android application with a simple but attractive interface.
At the backend we used
Node.js
and
Express.js
to prepare a RESTful API to process requests the backend was connected to a
MongoDB
database using the
Mongoose
ORM to assist us in writing queries.
The workflow
This is community based app in which people can ask for help from volunteers who are willing to do so. From our platform, one can create a general purpose requirement giving details of the task he needs help in and the number of volunteers he need. This requirement is then visible to people nearby (a fixed distance) who when click on it are redirected to google maps displaying the location where they have to go.
Another important feature is if anyone is in emergency, he/she can press the emergency button available in app which sends a priority notification to nearby people who can approach the needful.
Challenges We ran into
Being a location based app, one of the most important area of consideration was playing with latitudes and longitudes. Sending coordinates continuously to maintain something close to real time location for better effectiveness of app. In this, mongo’s documentation and stack overflow helped a lot. Another thing was that half of our team wasn’t familiar with github and collaborating remotely was a great challenge. Then it took a while to figure out the UI that felt good and is practical in implementation.
Accomplishments that We’re proud of
As a whole we completed most of the features we decided on
Login
Adding tasks we require help for
Adding emergencies
Pop up notification of emergencies
Filtering volunteers based on location
Displaying location of task/emergency on google maps
What We learned
To work in and as a team
A brief knowledge about websockets and their integration in kotlin
Some key concepts of UI/UX designing
A bit about google maps API
Using github in an efficient way
How to work to get a task finished in deadline
What's next for Help Vault
We will be adding a feature for natives to chat and interact as if a group or others regularly help each other, they must be closely connected enough.
If someone wants to thank or appreciate the volunteers they can provide prizes which volunteers can redeem.
On a financial side even organizations can sponsor with special discounts . But the spirit is still volunteering for social good and not for prizes , so this is not final
Some gamification features like the one with higher credits can unlock some cool in-App swags or titles that would be displayed besides users name.
Built With
adobe-xd
express.js
kotlin
mongodb
mongoose
nodej
Try it out
github.com | Help Vault | Introducing "Help Vault" a platform to ease giving and taking of aid as well as being with you during emergencies. | ['Priyanshu Sharma', 'aniket padmansh', 'Manvendra Pratap Singh', 'vidit jha'] | ['Best Use of DevOps Tools'] | ['adobe-xd', 'express.js', 'kotlin', 'mongodb', 'mongoose', 'nodej'] | 14 |
10,522 | https://devpost.com/software/devscale | Devscale's homepage
Devscale's submission page
Devscale's Results Page (Loser Prediction)
Devscale's Results Page (Winner Prediction)
Devscale's Model on Google Cloud AutoML NLP
Inspiration
How many times have you wondered if your Hackathon project was good enough or if your idea was worth a prize? I know right? That's why our team created
Devscale, a platform that gives insights and statistics about your project's likelihood to win a Hackathon
. It's as simple as that.
What it does
Bear with me
: you really would like to know how your project and idea compares to other Hackathon winners and thus find out what is the likelihood of your project to win. Devscale lets you do exactly that. You access our website, input your headline and submission description, and we will provide meticulous and actionable statistics and insights about your project and the likelihood for it to win. For us to achieve this feat,
we created a machine learning model trained with over 15,000 hackathon projects
. For example, our Devscale model will tell you that you might have a 60% chance of winning (and thus 40% chance of losing) based on your current project description.
How we built it
Front-ent
: We used carefully crafted HTML, JSX, CSS, and React for the front-end. All icons are from Font Awesome and any images, logos, and SVGs were gently handmaid from scratch by our team.
Back-end
: We used Node.js and JavaScript to build the behind the scenes of our application. The back-end takes care of data processing throughout a REST API in combination with our machine learning model trained and deployed on Google Cloud!
Dataset
: Our dataset was built using UiPath, a robotic process automation tool that facilitates the process of scraping websites. We were able to scrape 15000 projects and details from Devpost. The Dataset contains texts and labels defining if the project is a winner or not. The file was uploaded to a Google Cloud Storage Bucket for further manipulations.
Google Cloud AutoML Model
: Our Machine Learning model was trained and deployed on Google Cloud. We selected the Natural Language Processing Text Classification feature to make predictions on the model.
Challenges we ran into
Setting up a REST API in a rush during the last hours of the competition was definitely a challenge we ran into. _Our team is currently in and out of programming competitions this weekend besides studying for college exams _; therefore tying up the knots and connecting all the cables between front-end, back-end, and datasets under pressure is absolutely never-racking. In addition to that, the automatic scraping was not really smooth due to some projects having symbols, different languages, and emojis in their descriptions. We had to process the data before training the model.
Accomplishments that we're proud of
Bringing our idea to life to be the first initiative to make Hackathon projects more likely to win and allowing users to get more insights and statistics into their project submissions is absolutely amazing. Also, conquering the challenges cited above is absolutely something our team is absolutely proud of.
What we learned
Our team members complete themselves based on their skills; therefore, we learned a lot.
Nathan, our team's Google Cloud guru
learned about how to connect the cables between React components and Rest APIs based on Node.js.
Mauricio, our team's React monk
, also learned how to write API calls from scratch directly from React components.
What's next for Devscale
We would like to provide even more actionable statistics for hackers to rejoice. To do that, we are on a mission to improve our Devscale model's accuracy by training it with different machine learning algorithms and increasing our dataset of winning projects.
Built With
api
css3
google-automl
google-cloud
html5
javascript
node.js
react
rest
Try it out
github.com | Devscale | A platform that gives insights and statistics about your project's likelihood to win a Hackathon using Natural Language Processing | ['Mauricio Costa', 'Nathan Kurelo Wilk'] | ['Best Use of Google Cloud Platform', 'Best Use of Full-Stack JavaSript (Any Framework) sponsored by Dynatrace'] | ['api', 'css3', 'google-automl', 'google-cloud', 'html5', 'javascript', 'node.js', 'react', 'rest'] | 15 |
10,522 | https://devpost.com/software/ontime-nywe7z | The landing page, that I thought I would have time to rebuild...
OnTime
You know that feeling of panic when you look at the clock and you realize your class has started, but you're not in it? I know it all too well.
Sometimes I'll still be eating breakfast or lunch, and other times I'm just not paying attention to the clock, and before you know it, class has started. Usually I just scramble to join as quickly as possible, but it's kinda awkward joining class late, especially when your teacher calls you out. Almost as awkward as being in a breakout room where no-one is talking and you have no idea what you're supposed to be doing.
My idea for OnTime came from frustration. Not mine though - I can deal with the awkwardness. It was my mum's, after seeing yet another tardy on my attendance record. Sometimes it's difficult to keep track of all of my classes, and all their different Zoom links, which is where OnTime comes in!
OnTime is like a personalized bell system - but at-home, showing your current class, video conferencing link and remaining duration in the current period, as well as delivering audible push notifications shortly before a class begins and ends, on all devices where you are signed in.
This is cool and all, but you might be asking - why not just put your classes into a Google Calendar?
I asked myself that question all this weekend too. ;)
I do actually have an answer to that question. My school uses a block schedule system with A and B days, so I can't just set certain classes to repeat on certain days - I have to calculate which dates are A days and B days, which also means factoring in holidays and other school breaks, as well as the occasional C day due to pep rallies and other events. In addition, I'm a dual-enrolled student, and my community college classes only occur on certain days, but again I would have to factor in holidays - which are also on a different schedule than my high school. Hopefully, you can see how messy and tedious inputting each individual class onto any calendar would be.
My plan was to build the site with React.js and Geist UI, host the site on
Vercel
and use
Firebase
Auth and Firestore to manage user authentication and to persist data. Unfortunately, I don't think I'll be able to complete it this weekend. My laptop was running super-slow, so my solution was to run
code-server
on my Raspberry Pi 4, but that took way longer to set up than I expected. Turns out it was just an EBKAC error, and you might be able to tell
why
my laptop was so slow by looking at the image...
Anyway, I'm pretty proud of where I've gotten to, and I definitely plan on continuing to develop it this month. If by some act of God I manage to finish it, you can guess I probably pulled an all-nighter...
If you're curious to see where I'm at with development, you should check out
https://dev.stayontime.online.
As of now, I have auth working, but that's about it. The dev environment is more like staging and should be somewhat stable, but I wouldn't recommend depending on it working consistently it till I push to prod over at
https://stayontime.online.
Thanks for reading! If you're still here, here's a slice of pizza! 🍕 (this should qualify me for best pizza-focused game, right?)
Built With
firestore
react
vercel
Try it out
github.com
stayontime.online
dev.stayontime.online | OnTime | Never be late to Zoom school again. | ['Jason Antwi-Appah'] | ['Best Domain Name from Domain.com'] | ['firestore', 'react', 'vercel'] | 16 |
10,522 | https://devpost.com/software/crowd-up | Crowd.UP
I love my team ❤️
Example event and the group reward tiers!
Link to our Google Slides presentation to see our demo!
https://docs.google.com/presentation/d/19Bp5DSoVf1je4YkT7C_kRvSPT7naSwUELwWqO2RA3cs/edit#slide=id.g9972a67e23_3_29
Inspiration:
This is our first hackathon and we've never used video-editing software before if you couldn't tell... We are all locked inside right now and the world can almost seem like it is falling apart. Someday, we will be able to return to an approximation of our former lives, but the effects of the recent pandemic will still linger. It will affect small businesses, but it will also affect charities due to the lingering paranoia and widespread introversion. Our app will offer aid in re-stimulating socialization, the economy, and charity. After seeing so many natural disasters in the news lately, especially with people already struggling during COVID-19, we wanted to build something, anything, that could help support the ongoing relief efforts.
What it does:
Crowd.UP is an event managing, hosting, and promoting platform that allows organizations to incentivize attendance of their events by offering tiered rewards based upon overall attendance. These organizations would set clear goals that would both draw in initial clients, but also encourage them to spread the word and draw in their own friends. Those friends draw in their friends and the perpetual marketing commences.
How we built it:
Our team built the application entirely with Flutter, a Dart based application development language. We hosted our project on Github and used Firebase as our backend architecture.
Challenges:
This was our entire team's first Hackathon. In addition, only one of us had any prior experience with Dart and Flutter whatsoever; We were all essentially figuring it out as we went. Those two statements outline our challenge: We faced pressure in an environment we had never been in before with tools we didn’t initially understand. We often found ourselves with problems we couldn’t quite grasp and minimal time to stop and think about it.
Accomplishments:
We all left our comfort zones and took on a notable challenge, and, while doing so, we quickly learned new skill sets, adapted to a myriad of problems, coordinated with each other, supported one another, and relied on each other's strengths and knowledge. On top of that, each of us stepped up as a leader at some point. We came together with a group synergy that let us accomplish things beyond what the sum of our parts could and grow as programmers.
What’s next for Crowd.UP:
We plan to continue to work on our app and let it grow with us. Crowd.UP has the potential and flexibility for a variety of use cases, but we especially hope to support non-profits and small businesses by incentivizing and supporting altruistic practices and philanthropic work.
Built With
android-studio
dart
firebase
flutter
pub.dev
Try it out
github.com | Crowd.UP | Crowd.UP: UP turnout; UP rewards | ['Ken Michalak', 'Rajmeet Singh Chandok', 'Cameron Caffey'] | ['Community Class Act Hack sponsored by Oakland University Credit Union'] | ['android-studio', 'dart', 'firebase', 'flutter', 'pub.dev'] | 17 |
10,522 | https://devpost.com/software/big-caesars-pizza-employee-simulator | Main Screen
Inspiration
Create fun for everyone amid difficult times. We wanted to set a challenge to ourselves by making a challenging and yet addictive videogame.
What it does
The mechanics are simple: you have one mission, provide customer satisfaction! You will receive pizza orders and will have to prepare them as they were requested. No more, no less. Oh! Don't make clients wait too long!
How we built it
Big Caesars Pizza was entirely developed using Python as the main programming language and taking advantage of its cross-platform set of modules Pygame.
Challenges we ran into
We set ourselves the challenge to do our first game ever using Pygame for this hackathon. We learned and increased our knowledge as we went through the project. We faced many challenges, mainly algorithmic, but we found turnarounds that helped us achieve our goal. And of course, we had to run against time.
Accomplishments that we're proud of
We barely knew anything about game-development on the morning of Friday. We challenged ourselves to make a game from scratch and we did it while learning tons of knowledge on the road. Now we have created our first game ever!
What we learned
Aside from all the technical knowledge that we gained, we have learned that team-working is the key of coding.
What's next for Big Caesars Pizza: Employee Simulator
Many things await Big Caesars Pizza... more is yet to come.
Built With
pygame
python
Try it out
github.com | Big Caesars Pizza: Employee Simulator | Test your multi-tasking skills by handing out as many pizzas as you can with this job-stress simulator! | ['Gabriel Sotelo', 'Luigi Cabrera'] | ['Best Pizza-Focused Game sponsored by Little Caesars'] | ['pygame', 'python'] | 18 |
10,522 | https://devpost.com/software/medico-tc2386 | .
Built With
. | . | . | ['satyam sharma'] | [] | ['.'] | 19 |
10,522 | https://devpost.com/software/portfolio-planner | working
Different example with changed allocation
App on open
app Icon
when a users try to exceed more than 100% of asset allocation
third example of app working
Inspiration
Due to recent events it is abundantly clear that a long term diverse investing strategy is essential for preserving and growing wealth.
What it does
Portfolio Planner is a simple Android app that can help investors of all skill levels develop and maintain a diverse investing strategy. An investor can use the app to plan large or small future investments or even rebalance their existing portfolio. All an investor has to do is entered the amount into the investment field and then they simply choose to input the desired percentage of each asset class into the app and then click calculate. The app will provided you the amount of money in each category that you can invest and still maintain your desired asset allocation strategy. Best of all no account or banking information is needed to use the portfolio planner if you want to invest you still have to use the financial institutions you use to purchase your assets.
How I built it
The app was build with Kotlin in Android Studio. I started by first building the user interface and then continued to build the underlying code of the application to connect the program together. After I had a working application I used MPAndriodChart to generate a nice animated pie chart. Most of the time was spent perfecting the UI before I switched to linear layout and also getting the pie chart integrated into the interface. The Code of the app it self was done pretty easily and quickly. I also designed the App logo on my Ipad in Affinity Designer.
Challenges I ran into
Normally I use constraint layout to put UI together but given the complexity and various components that need to be arranged the way they did but because their was a time constraint I switch to linear layout.
I had a little trouble working with MPAndriodChart since most of the examples were written in Java as was the original code snice its been awhile snice I used java.
Accomplishments that I'm proud of
I'm proud I finish with a functioning App.
Also I'm proud I finally figured out how to use MPAndriodChart because there is a lot you can do with it.
What I learned
I gained a lot of experience in how to set up UI for Android
I learned how to use MPAndroidChart which is good because their is I lot I can do with the capabilities it provides especially with data analytics and chart generating in android.
What's next for Portfolio Planner
Turn the linear layout into a constraint layout or a scrolling layout.
Clean up the code
Make asset allocation more dynamic.
Do a better job of indicating how to get 100% asset allocation.
May be add info field to explain what each asset category is for beginner investors.
Built With
android-studio
kotlin
Try it out
github.com | Portfolio Planner | An Android App to help you diversify and maintain your investment strategy. | ['Sam Wilson'] | [] | ['android-studio', 'kotlin'] | 20 |
10,522 | https://devpost.com/software/learn-with-augmented-reality | Inspiration
The inspiration for this project came when we saw small children struggling to sit in front of the gadgets for almost 8 hours for online classes, straining their eyes during the pandemic . This is when we realized that we need a platform where students can learn and find studying interesting at the same time.
What it does
It is actually a unique platform where students can learn using AR. AR i.e augmented reality is a good way to render real world information and present it in an interactive way so that the virtual elements become a part of the real world. We have used extensions for students who are colour-blind which will help them identify colours more accurately. The website blocker and the pomodone helps students prevent themselves from getting distracted while studying and keep a track of their success. It is an amazing platform for student-teacher interaction online.
How I built it
It was built through programming and machine learning to help train our data.We have used HTML , CSS and bootstrap for building the website. AFrame was used to build the AR gallery. We went through a lot of resources , documentations and tutorials to learn and implement things in our project.
Challenges I ran into
It was a bit challenging to manage our time wisely as there were many features we wanted to add and see in our idea. Also, being in different time zones made it more difficult to communicate and work on tasks together.
Accomplishments that I'm proud of
Putting the site online and making it work!!! I’m proud of how much effort my team has put into this idea and for my team members taking the time to explain to me concepts I was more curious about.
What I learned
We learnt a lot of new things. Enhancing our skills in HTML , CSS, JS, Python and more. We here mainly worked as a team and understood our responsibilities in the assigned tasks.
What's next for Learn with Augmented Reality
Our next steps are to launch and implement this platform for students and teachers to use for online learning as well as updating the features according to what students and teachers are looking for in order to make online learning much easier for everyone.
Built With
bootstrap
css
flask
html5
python
Try it out
github.com | Learn with Augmented Reality | his platform also allows teachers to give students a different learning approach by explaining students by giving them visualized picture of the subject taught, this platform also provides students | ['Manoj Shivaprakash', 'Tanya Y', 'Poornachandra kashi', 'Shibangi Lodh'] | [] | ['bootstrap', 'css', 'flask', 'html5', 'python'] | 21 |
10,522 | https://devpost.com/software/i-fit-a-step-towards-digital-eye-care-qu7vyn | Showing Alert msg when you dont blink for long time
UI of the application
Your Daily Report
Database which stored your report according to date and time
I-Fit
INSPIRATION
In Current Covid Situation, Students are spending at least 4-5 hours in Online Classes. This is in addition to their normal screen time before the pandemic. IT employees spend daily 8-12 hours a day in front of computers attending meetings, managing clients and building software products due to Work From Home. Eye problems have become common. Dry and Irritated Eyes, Eye Fatigue and Near nearsightedness of Vision are some of the common eye problems wee deal with.
Doctors say "Blinking and Pupil Movement" are vital for cleaning the eye and prevent infection. It also brings nutrients, minerals and other beneficial substances to the surface of the eye. Researchers has shown that with decrease in eye health and vision, individuals are more susceptible to mental health disorders such as anxiety and depression.
WHAT DID WE DO?
So We Built I-Fit which will run in the background
1) I-Fit tracks "eye movements" and "counts blinking rate".
2) Timer starts only whenever face is detected .
3) It alerts user in case of below average blinking rate.
4) It also gives detailed analysis on your blinking rate with graphs and remedies.
5) Stores daily report separately in a folder.
TECH STACK
1)
Python
(Base programming language)
2)
PyQt5
(For GUI development)
3)
OpenCV
&
Dlib
(For Eye & Face Detection)
CURRENT GOAL
1) Fitness App
We want to develop an fitness app like google fit with additional feature to track eye fitness.
A user using our product on all his devices will get better data about his eye fitness.
2) Video Calling App
In future, We want to build a video calling app with eye and face tracking feature of our current product.
This will help in online attendance during Online meetings and classes.
CHALLENGES WE RAN INTO
The task would be lot simpler if we were able to use GCP. So we decided to shift to local storage.
WHAT WE LEARNT?
We learnt a lot about openCV and Image Processing. There is a lot of stuff we can build using image processing, and OpenCV makes this task easier. We also came to know about Graphical User Interface development using PyQt5 and dlib helped us to identify facial features.
MARKET ANALYSIS & STRATEGIES
Target Market:
Students
IT employees/ Adult who rely on devices for work
Avid laptop users and Gamers
Collaboration & Partners:
Optometrists
Eye Care Hospitals
Tech Companies
Customer Acquisition Channels:
Partnership with Tech companies and Optometrists
Marketing Campaigns
Customer Retention:
Reward and Referral System
Constant Upgradation of Services
WHAT'S NEXT?
1)Using Google Cloud services to manage storage and improve productivity
2)Weekly Reports in mail
3)Develop Blinking gesture controlled actions.
4)Improve UI
5)Similar App for Linux Users
6)Developing similar Apps for phone (Android and IOS) users
Built With
dlib
opencv
pyqt5
python
Try it out
github.com | I-Fit (A Step towards Digital Eye Care ) | We make sure you blink once in every 5-6 seconds using computer vision techniques . Our App will run in the background and alerts you when you dont blink for long time . | ['SIBASHIS KHADANGA', 'Pratyush Swain', 'Roshan kumar sahu', 'Devidutta Nayak'] | [] | ['dlib', 'opencv', 'pyqt5', 'python'] | 22 |
10,522 | https://devpost.com/software/invalidate | Login Screen
Home
Symptoms
Testing Center
Hospital
Booking
Analyzer
Text extraction
Health Bot
User Screen with Pedometer
Inspiration
I was mainly inspired by the COVID-19 pandemic and really wanted to do something about it, even a small contribution. I have had few friends living in the United States, unaware they were exposed to the virus and were still at homes, fortunately, one of them fell sick and that's when they all tested positive, as the virus doesn't necessarily show symptoms. This app is dedicated to them. By Invalidate, you can find out your nearest COVID testing center, book an appointment and hospitals would send you time slots for attending. By this, you don't have to stand in queues and risk yourself getting exposed to the virus.
What it does
The app allows users to select various COVID centers on the map, using Google Maps SDK and users can also visit any desired COVID center's website to go learn about them and book if needed. In the booking section, users can enter their name, age, and date for booking. The booking on submission will be verified by the hospital and they will provide you a slot accordingly. If the hospital is out of slots on the day, you booked, then you can delete your current booking and choose a new date or hospital as per your preference. Users can also add symptoms, probable exposure, and travel within 14 days if they wish so that hospitals can view this and provide assistance immediately if needed. Users can also delete symptoms if they wish or they can update new ones as well. Users can also read live health news to keep themselves up to the pandemic conditions outside. You can also mention any symptoms or probable exposures and even travels such that hospitals can send you immediate assistance if required. Users can also talk to a health bot which gives a little insight into hospitals near you and health conditions. You can also upload prescription images to the app which extracts text so that you can read about these medicines online and their dosages, and you don't want to take risk with dosages. The app comes with a pedometer, which motivates users to walk daily.
How I built it
The app is made with Firebase for the back-end and Flutter for the front-end. Google Maps SDK has been used for the map feature and Google Sign-in for secure and easy, hassle-free login. With Google Maps, I can change the Map type to Satellite or Normal according to the user preference, set markers on the map indicating the location of COVID centers. With Firebase, all data- adding, deleting, and updating is done quickly and also Firebase and Google Sign-in together provide, the current user's information such as profile pic, email, and name. Google Sign-in alone is used to signing into the app, hence the user doesn't have to first sign up and then sign in, it all happens in one single tap. I have used Google Dialog Flow for the chatbot to provide a seamless chatbot experience and instant update deployments if needed. For text extraction, Firebase Vision ML has been used, which not only extracts texts but also converts handwritten statements to a textual form, hence this has great accuracy, with extractions. I have also used the local device pedometer to trigger and monitor user steps.
Challenges I ran into
Using multiple Google Cloud Products: DialogFlow, Firebase, Google Maps SDK, Firebase Vision ML, and Google Sign-in is really seamless but however challenging to integrate into an app. However with multiple errors, I have used documentation support to overcome few errors, and managing all these within less time was almost impossible but with perfect time management, I did overcome.
Accomplishments that I'm proud of
Bug fixing and configuring a good and smooth UI is a great accomplishment for me, as I have not just learned new things but also got a chance to improve the things, that I have already used before, and getting my app to run within the hack duration is something that I am really proud of.
What I learned
Perfect time management and bug fixing various tools and APIs.
What's next for Invalidate
Getting in touch with hospitals, so they can manage the database and send out emails to the booked user, confirming their booking along with time slots. Sign-in with Apple will be added for iOS devices, even though Sign-in with Google also works for iOS users, but with Sign-in with Apple, users can use their FaceID or TouchID to login to the app, making it very seamless, especially with the iOS platform. Siri and Google Assistant integration will be added so that logged in users can book hospitals near them with their voice itself. Users will also get a healthy workout monitors and a watchOS integration to monitor these workouts and accurate steps, using Apple Watch.
Built With
dart
dialogflow
firebase-ml-vision
firestore
google-maps
kotlin
objective-c
swift
Try it out
github.com | Invalidate | A COVID-19 app with various functionalities to keep users safe during the pandemic. | [] | [] | ['dart', 'dialogflow', 'firebase-ml-vision', 'firestore', 'google-maps', 'kotlin', 'objective-c', 'swift'] | 23 |
10,522 | https://devpost.com/software/task-manager-729mj0 | Inspiration:
Currently, we are facing a worldwide pandemic. All of our classes and activities have gone completely online. I found it difficult to manage all the tasks. Time management is extremely crucial. So, I wanted to build something that would help me manage all my classes and tasks accordingly.
What it does :
The App helps you add in all the tasks that you have for the particular day. It helps you manage all your work efficiently.
How:
I built it The App was completely built on Android Studio. I used Java to code the App.
Challenges I ran into:
We wanted to add in a function that would give up pop sound notification and provide remainders for the online class schedules. But due to some errors and the restricted time frame we couldn't succeed.
Accomplishments that I'm proud of :
This is my first Android App and I'm proud that I could build something from scratch.
What I learned:
I learned that if you put in the required hard work and if you have the determination, you can accomplish anything.
What's next for Task Manager:
We want to add more options for the App that would remind you about deadlines for fee payments, the due date of Netflix subscriptions, etc. We also want to add the option of providing online class links as notifications to remind us about the class schedule and help us attend all classes efficiently.
Built With
android
android-studio
java
xml
Try it out
github.com | Task Manager | From our Task to yours | ['Dhivya S'] | [] | ['android', 'android-studio', 'java', 'xml'] | 24 |
10,522 | https://devpost.com/software/driverdrowsinessdetection | The main page
The about page
Functioning section
Inspiration
We got the idea for this project, when we're thinking what to make, and thought to have some fun with Machine learning, and we found a Life saving project. Which can save lots of lives, lost every year. According to the National Highway Traffic Safety Administration, every year about
100,000 police-reported crashes
involve drowsy driving. These crashes result in more than
1,550 fatalities
and
71,000 injuries
. Being on road its all about focus, but sometimes that too is lost when one's worn out. Not only drivers, but everyone in the vehicle loses their lives, So, why not save them?
What it does
It scans the driver's faces using OpenCV, And then
analyses the eyes, ears, and mouth
using haar-cascade algorithm and finds if the eyelids are closing the eyes, or is he yawning, and Several other minute details to detect drowsiness, which later
follows up with an alarm sound that warns / alerts the driver to be cautious.
How we built it
The project using the Useful resources, like
OPEN CV
, and
Scipy
, along with
matplotlib
, to plot the rates of drowsiness, and also using
dlib
, as the scanning resources, along with computer vision and other multiple dependencies. The webapp is built using
HTML, CSS, and javascript, jquery
along with
flask
for backend purposes
Accomplishments that we're proud of
We're proud of the accuracy this has obtained, while scanning various datasets, and learning from them, and we're also proud of learning better python, and other languages, and using for the betterment of the society, which matters most.
What we learned
We have learnt neural networks, machine learning, working with graphs, and scipy, Also using anaconda, and using the various research libraries.
Driver drowsiness detection.
You need to have anaconda installed on your system :)
Step 1: Update conda
conda update conda
Step 2: Update anaconda
conda update anaconda
Step 3: Clone the github repository
git clone https://github.com/ShobhitRathi/DrowsyRide
Step 4: Create a virtual environment
conda create -n env_dlib
Step 5: Activate the virtual environment
conda activate env_dlib
Step 6: Install dlib
conda install -c conda-forge dlib
If all these steps are completed successfully, then dlib will be installed in the virtual environment
env_dlib
. Make sure to use this environment to run the entire project.
Step 7: Installing packages
pip install -r requirements.txt
Step 8: Running the webserver!
python app.py
And the app runs on the localhost of port 5000, And you can visit, and see it!
Step to deactivate the virtual environment
conda deactivate
Built With
anaconda
css
dlib
flask
html
javascript
jquery
machine-learning
matplotlib
ml
python
scipy
Try it out
github.com | DrowsyRide | An Innovative project to prevent road accidents caused by drowsiness. | ['Shobhit Rathi', 'Sunrit Jana', 'Rohith04MVK Bobby', 'moolini'] | [] | ['anaconda', 'css', 'dlib', 'flask', 'html', 'javascript', 'jquery', 'machine-learning', 'matplotlib', 'ml', 'python', 'scipy'] | 25 |
10,522 | https://devpost.com/software/smart-covid-dashboard | Inspiration and what it does
We wanted to make a tool to help people see the spread of COVID-19, how the number of cases would change in the near future, and the contributing factors to the change in cases. Although there are frequent updates on coronavirus spread, the current data visualization tools do not use machine learning (ML) to show the predicted COVID-19 cases. Therefore, we wanted to create a comprehensive, but easy-to-use, COVID-19 app, that provides data visualizations of COVID-19 and COVID-19 predictions.
The data visualizations we provide are: (1) a map of Michigan, where green regions indicate a lower COVID-19 case count, and red indicates a high COVID-19 case count; (2) a similar Michigan map, but showing the predicted trend in COVID-19 cases in the next 5 days; (3) when click on a county in the map, users can see a line graph of the daily cases in COVID-19 on the right; (4) for a selected county, the unemployment rate is shown over time, with data from the Bureau of Labor Statistics; and (5) at the bottom right the demographics of the selected county are shown.
How we built it
We deployed the app/site using GitHub pages. The data visualizations were built in D3.js, Bootstrap, and Javascript/CSS. The data shown on the site was first collected from various sources (links to them are on the site), including the NYTimes COVID-19 dataset, Bureau of Transportation Statistics, U.S. Census Bureau, and U.S. Bureau of Labor Statistics. This was pre-processed using R and Python, to clean up any extra data and columns, and reformat it for use in data visualization and machine learning. The machine learning models were built in Python, using scikit-learn, where we sampled four different models (Boosted Decision Trees, Support Vector Machine, Naive Bayes, and Logistic Regression) and selected the one that had the best performance. The machine learning model uses the COVID case data from a set window of days (e.g., 5 days), learns the trend of cases in those 5 days, and predicts the number of cases in the next five days. Other data such as the number of trips (from the Bureau of Transportation statistics), were incorporated to make better predictions.
Challenges we faced
First, we had trouble designing the UI. With multiple graphs, it was important to structure the app so the user can easily interpret the information. Second, we had difficulty training and designing the machine learning model. Using a neural network, such as an LSTM, could yield better results in time-based forecasting predictions.
What we learned
While we were developing the app, we learned a lot about D3.js, Bootstrap, Git, and machine learning!
What's next
In the future, we hope to expand the COVID prediction model for more accurate predictions, and adding more data visualizations to see other COVID-related trends, such as the use of masks.
Built With
css
d3.js
html
javascript
python
scikit-learn
Try it out
dmujt.github.io
github.com | Smart COVID Dashboard | A dashboard that shows COVID data visualizations and predictions using machine learning. | ['Dillon Jaghory', 'Dena Mujtaba'] | [] | ['css', 'd3.js', 'html', 'javascript', 'python', 'scikit-learn'] | 26 |
10,522 | https://devpost.com/software/transposer | Inspiration
Being a group of music enthusiasts that all play a different instrument, we always tried to play music together. Keyword: tried. We realized that this was not as simple as it sounds, since not all instruments play in the same key (flutes/piano in C, clarinets in Bb, Horns in F, etc.). Therefore, it was difficult for us to find music that all matched the key our instruments were in. We wanted to make something that makes it easy for musicians in different keys to make music together!
What it does
The Transposer uses images of music notes, and returns what note they are originally and the transposed note, both in letter notations. Currently, the Transposer is defaulted to transposing by one, but in the future, the implementation would include an user input to transpose to whatever degree they would like.
How we built it
We built it using Python and Machine Learning. We used image recognition for the music note identification.
Challenges we ran into
One of the biggest challenges we ran into was that we needed to make our own dataset of notes to train the machine learning algorithm with.
Accomplishments that we're proud of
Given that our team consisted of members being 12 hours apart and on the opposite side of the globe, we are proud that we were able to work well together and coordinate meeting times, despite how late or early they were at. Most of our team was also very new to image recognition and had to learn as we went along with the project. We were all able to learn valuable skills, and our skills complemented each other's skills to create the Transposer.
What we learned
We learned that working on coding the same file is difficult when we are not physically near each other and requires a lot of planning.
What's next for Transposer
We would love for the Transposer to then also print out the music notes for the transposed music in the future for musicians that find it easier to read music than read the letter notations.
Built With
machine-learning
numpy
python
pytorch
Try it out
colab.research.google.com | Transposer | Reading and transposing music is hard. Let the Transposer do it for you! | ['Jenny Chang', 'Annie Kim', 'Chloe Shin-Gay'] | [] | ['machine-learning', 'numpy', 'python', 'pytorch'] | 27 |
10,522 | https://devpost.com/software/grizzhacks | "# grizzhacks"
Inspiration
Our inspiration comes from seeing people struggle to navigate places during the Covid-19 pandemic. During this pandemic, simple activities such as going to the park or supermarket are becoming stressful tasks. We created Locator C19 to reduce this stress and make it easier to find places nearby that align with their preferences.
What does it do?
This program is used to help people navigate and choose different places they want to go to. The options for places are supermarkets, parks, restaurants, gas stations, salons, and Covid-19 testing facilities. The user is first prompted to enter their town name, county, and location. They are then able to toggle filters to their likings such as their desired proximity to the place and the number of people at the place (for social distancing and safety preferences). After the user has provided this information, the program displays the list of locations that matches their preferences. At this time, the user chooses which place they would like to go to. Additionally, the program lets the user know whether or not safety protocols were being followed. For each location, the program displays average ratings and gives the user the opportunity to fill out a mini-survey on the safety protocols taken by the specific location and would update the location’s details with the new information. Afterward, the user is able to provide ratings out of 5 stars. The user will be able to navigate to other places from there as well.
How did we build it?
We created this program using the java programming language, designating classes for this program for the filters. The main class was used to execute our program. This where we interacted with the user on learning about where they want to travel, safety precautions taken at that place, and giving customer ratings. The county class holds the information of each town in the county. Additionally, we created a town class to create a model of our real-life society. This class contained a 50-mile radius map consisting of common locations people travel to on a daily basis like supermarkets, restaurants, etc. We also added COVID-19 testing centers due to the need for people to know testing locations nearby them. We used this class, with the aid of the Location class, to track the location of the user as well as provide information about the places they visited like average ratings, distance from user’s location, etc which was stored in the Building class. We also created a Person class that would hold information about the user like their current location, location of their home, preferences, places they visited, and store information about their opinion on the safety protocols taken by each location. The Restriction class was used in order to check the comments given by the user on the safety protocols and store it for future users’ information while they are using our program.
Challenges we ran into:
We initially faced some challenges on how to approach our idea. We kept coming into some dead ends due to poor planning at the beginning, but after setting a proper structure that we could follow, it was easy for us to build and also adapt the basics of this program. We slowly started adding more and more features and tried to make it a bit more user friendly. We faced some challenges along the way like getting incorrect results from the filters, exceptions/errors, difficulty in running the code initially, but we persevered through all these challenges and developed a working product. There are still a lot of improvements we can make to this product, but we have worked hard to pass all obstacles and create this program.
What did we learn?
This was our first hackathon and our first opportunity to work as a team to develop an innovative idea. We made a lot of errors throughout this whole process, but we were able to fix them, which boosted our coding confidence. Additionally, we were able to transform our plan on paper into a full-fledged executable program, which was amazing. We are amazed that we were able to create a full-fledged program that would be able to perform the tasks we had intended it to do.
Further applications
We believe that this prototype is the stepping stone for easier navigation both during and after this pandemic. An important step we can take to extend the project is to integrate it with available software and databases based on some sort of online maps. To extend this project, we could increase user-friendliness. One way would be to create a mobile application to increase convenience. Lastly, we can extend this program to social justice protests occurring around us. The program could inform the user of the location of these protests, updates on violent riots, the number of people, and safety. The applications for this program are limitless, and we believe the prototype that we have here can revolutionize navigation during these unprecedented times.
Built With
java
Try it out
github.com
aneeshvirjala.wixsite.com | Locator C19 | We created Locator C19 to help people, during this pandemic, navigate and choose different places they want to go to based on their preferences. | ['Aneesh Virjala', 'sriram1217', 'codersriv'] | [] | ['java'] | 28 |
10,522 | https://devpost.com/software/compliment-generator-otki91 | Screen user sees prior to uploading or taking a picture.
Returning a "compliment" to the user.
Inspiration
This pandemic has forced us all to be involved in some unconventional social situations. We are often asked to go on professional Zoom calls unexpectedly, video chat with a romantic interest at a moments notice, or have impromptu hangouts with other lonely friends. With our appearance still playing a pivotal role in all of this, how can we feel like our appearance is up to par if we have to be isolated? To solve this issue, we turned to existing artificial intelligence. That way if we are looking to FaceTime with a romantic interest, we'll have a bot capable of being honest about how we look.
What it does
The compliment generator requests a picture of the user that can be taken directly on our web page using the current device's camera or uploaded from the device's storage. With each submission, the user is given the option to indicate what kind of social setting they will be attending (casual, professional, or date) and whether they would like to hear gender-related comments (the AI is capable of detecting gender). Artificial Intelligence is then used to assess the image, weigh all of the prominent features observed in the user's picture, and then return a comment about the user's appearance as text on their screen. Despite the name of the project, an overwhelming majority of the comments the bot is configured are jocular in nature and intend to give the user a laugh during these trying times.
How I built it
The front end of this project was constructed using codepen.io and contains a combination of Javascript, HTML, and CSS. This portion of the web application is responsible for having the user configure the social setting they are going to, as well as giving them the opportunity to take a selfie directly in their web browser if they do not have a photo to upload. Residing on a Linux-based Apache web server, PHP is used to store a temporary URL in a text server.
A series of Python scripts that run a combination of Betaface facial recognition software and Amazon Web Services libraries are then used to assess about two dozen facial features and make distinctions about the user's appearance. The scripts then generates confidence scores, indicating which features are the most prominent. Once the most prominent feature is identified, it locates a matching "compliment" that is compatible with a user's social setting/gender by searching through an Excel sheet using Pandas, and displays it on the screen.
Challenges I ran into
The most prominent challenge was being able to hand over the photo from the front end of the web application to the Python code on the back end. With team members having minimal PHP and Database experience, transferring the uploaded photo to our Python code created a huge bottleneck. Despite coming up with a rather simple text file solution, the challenge was working with a language (PHP) and a concept (exchanging data between the front and back end) we were completely unfamiliar with.
Accomplishments that I'm proud of
I'm extremely proud of our group's ability to work with two relatively new and complex technologies that we would never have exposure to inside of the classroom. The first of which was acquiring images directly through a user's device camera via their web browser. This granted us the opportunity to work with HTML canvas objects and see the potential they have in web development in the future. Second was working with the AWS and Betaface API. The underlying machine learning properties of these facial feature extraction libraries were extremely hard to grasp, documentation was rather limited, and the code bases themselves were massive. These were all hurdles that we needed to jump over in order to have a functioning project. Dealing with these complex technologies despite having no background makes having a finished project an accomplishment in itself.
What I learned
If I were to dive into every new technology or concept I was exposed to this section would be a few pages in itself. To keep it brief, for Keval and myself, we gained some valuable insight in to how powerful Javascript is. Both of us have only done coursework with back end technologies and sort of took web pages for granted. Being able to help write Javascript code and seeing the powerful/complex features it could implement really opened our eyes to a part of software development that we had neglected. Our other teammate, Keegan, had an opposite educational experience in the regard that he had worked exclusively with front end technologies. He had made it clear to us how significant it was to see the ups and downs of navigating through large libraries of code and attempting to tie together their inputs and outputs. Seeing the finished project gave him a new appreciation to how much time and effort is required to even get the simplest of features implemented.
What's next for Compliment Generator
We would like to find a way to integrate text to speech software on the front end of our project. That way when the user provides their photo, the AI will actually be able to verbalize its comments. In addition, we would like to upload our project to a commercial web server to handle increased traffic. Since it currently resides on a home server, it is in no way ready to handle a heavy/steady stream of users.
Built With
amazon-web-services
apache
betaface
canvas
css
html5
javascript
pandas
php
python
tensorflow-object-recognition
Try it out
keryke.live
github.com | Compliment Generator | A second opinion always helps, especially when it comes to how presentable you look. We built web-based app where an AI gives its opinion and suggestions on your appearance. | ['Keval Doshi', 'Ryan Kane', 'KMisiolek Misiolek'] | [] | ['amazon-web-services', 'apache', 'betaface', 'canvas', 'css', 'html5', 'javascript', 'pandas', 'php', 'python', 'tensorflow-object-recognition'] | 29 |
10,522 | https://devpost.com/software/teenchat | Registration Page
Login Page
Home Page
Home Page: ChatBot
Entry to Chat Room
Chat Room
Donate/Information/Resources Page
Creators/Authors Page
Inspiration
We were inspired to create this website because we wanted to give teens who have tested positive for COVID-19 a chance to connect with others like them so that they can get comfort and support during these difficult times. This website also gives teens an opportunity to make new friends while they are quarantined. Whenever we look at other websites, we only see negative and depressing news as well as information. However, through our website, we are trying to offer a more positive outlook during these hardships.
What it does
This website offers a chat room for teens who have COVID to talk to others in a similar situation anonymously. This website allows the user to register themselves with an email and create their own username which is the only name that will be displayed on the website to respect people’s privacy. We also offer a chatbot on our home page which performs a test to determine whether the user needs to be tested for COVID-19 and also informs them if they need to be hospitalized based on their symptoms. It also informs of the severe symptoms of COVID-19 and the symptoms that happen within 48 hours. This website also provides information on the number of cases within the United States and also on ways one can donate their time and money for COVID relief.
How we built it
We used HTML5, CSS3, Bootstrap5, Python, Flask, MongoDB, and an API from Postman API to build a web application.
Challenges we ran into
We developed a chatting application to connect teens from around the world so that they can share their experiences and support each other through difficult times. This time, we used back-end coding with python, flask, and MongoDB to store messages and display them back on screen. Initially, our plan was to use a library called SocketIO but integrating that to our application proved very challenging, ultimately resorting to us choosing a “non-real-time” way, but still, manageable methods of communication. We also tried to use Google Charts to graph the data but due to the time constraint, we were unable to implement it.
Accomplishments that we're proud of
We are extremely proud of being able to use an external API to gather the latest COVID-19 cases and display it on our website. We are also proud that we have a working messaging service to connect teens around the world in times of difficulty. We are also very proud of our Chatbot, which is an automated machine that is fed with some information, to guide users to determine if they need to get medical care.
What we learned
We learned how to use Bootstrap for styling our website. We also learned how to use python as a back-end programming language, which is able to communicate between APIs, databases, and the frontend. We were very glad to have found FontAwesome, a wonderful tool that provides various mini favicons. During our journey for making the TEENCHAT, we learned that there is always a better way to implement code and improve our application. For example, our chatting application could get an improvement, where we could use SocketIO to increase real-time texting.
What's next for TEENCHAT
For our Chatting application, we would want to enable group chats, have chat rooms, use SocketIO to increase real-time talk. For the Chatbot, we would want to implement artificial intelligence and machine learning to enable more accurate results. We definitely would want to use Google Charts to be able to graph the data that we pulled from an external API. Additionally, rather than just stating a bunch of donations/resources, we would want to learn web-scraping to find the resources on the web and display it on the site.
Built With
bootstrap
css
html
jinja
mongodb
python
Try it out
grizzhack2.a380ask.repl.co
repl.it
github.com | TEENCHAT | A website that offers teens with COVID-19 a way to make connections and find resources to support themselves during these difficult times. | ['Atharva Kashyap', 'Kriti Vidya'] | [] | ['bootstrap', 'css', 'html', 'jinja', 'mongodb', 'python'] | 30 |
10,522 | https://devpost.com/software/weather-app-vxpb2t |
window.fbAsyncInit = function() {
FB.init({
appId : 115745995110194,
xfbml : true,
version : 'v3.3'
});
// Get Embedded Video Player API Instance
FB.Event.subscribe('xfbml.ready', function(msg) {
if (msg.type === 'video') {
// force a resize of the carousel
setTimeout(
function() {
$('[data-slick]').slick("setPosition")
}, 2500
)
}
});
};
(function (d, s, id) {
var js, fjs = d.getElementsByTagName(s)[0];
if (d.getElementById(id)) return;
js = d.createElement(s);
js.id = id;
js.src = "https://connect.facebook.net/en_US/sdk.js";
fjs.parentNode.insertBefore(js, fjs);
}(document, 'script', 'facebook-jssdk'));
Home Page
Weather of London after search
What it does
It gives you the weather of any City just by a single search.
How I built it
I built it using NodeJS and Open Weather Map API.
What I learned
I learned the use of API and building a web app using NodeJS.
What's next for Weather App
Will be making more good projects which can somehow contribute to society.
Built With
css3
ejs
express.js
html5
node.js
openweathermap
Try it out
github.com | Weather App | Know the weather of any city of the world | ['UTKARSH VERMA'] | [] | ['css3', 'ejs', 'express.js', 'html5', 'node.js', 'openweathermap'] | 31 |
10,522 | https://devpost.com/software/bearbot-mwxz4f | GIF
Intro
Well that's important ;)
capabilities
Facts about bears the way you ask
BearBot
BearBot
is a web application that allows a user to interact with a bot, providing information and identifying different types of bears.
Technologies used: HTML, CSS, Python, RASA, Gatsby, Amazon AWS cloud, Tensor flow, Keras and Convolutional Neural Networks
The site is here:
http://bearopedia.xyz/
The GitHub is here:
https://github.com/Xxyumi-hub/BearBot
Inspiration
Looking at the name of the hackathon, gave way to the idea of BearBot. There are lots of animals that are infamous for being people's favourite: foxes, wolves, etc. Bears are usually though, not one of these animals, and we wanted to change that!
What it does
BearBot is a chat bot that interacts with users and can identify different types of bears based on the picture uploaded to it Using Convolutional Neural Net, The chat bot itself is based on NLP model.
How we built it
We used HTML, CSS, RASA, Gatsby, Amazon AWS cloud, and Convolutional Neural Networks in order to bring this application to life.
Front-end is build with gatsbyjs.
Back-end for the project uses Sanic Server that is a part of Rasa itself
The system is based on REST
The model was trained on google colab with Keras Tensorflow - nightly build, was saved as ('.h5') and is being used in the Rasa's sanic server to make predictions
Image from the chatbot are saved to AWS S3 bucket whose url is sent to bot, bot downloads the image in memory resizes to (159x159) pixels and feeds to the model to make predictions.
The result is sent back to chat bot using REST
Challenges we ran into
Setting up AWS S3 was a big milestone to go through all the settings
We we're planning to go with AWS SageMaker but in vain lost a lot of time in it
Finding Training Set for Bears was very difficult had to create our own scraper for that due to less training data model was under-fitting
We, unfortunately, lost half our team, due to them not being current or recent graduates, though we're glad to have met everyone!
Accomplishments that we're proud of
The CNN had a validation accuracy of about 80-83% the training accuracy was about 80-84% with the help of data augmentation
Though half our team was gone, we were able to put together the idea of BearBot!
What we learned
We went through Frontend development to backend to Machine Learning all in 1 project.
We learned to double check the requirements for projects! This would have saved some time for the project, but this lesson just taught us to verify all details with teammates.
What's next for Bearopedia
We'd love to build out the functionality of BearBot so that it can properly identify different types of bears as well as include more chat options for the bot.
Built With
amazon-web-services
css
gatsby
html
javascript
keras
python
rasa
tensorflow
Try it out
bearopedia.xyz | Grizz Bot | There are different species of bear, what if there was a bot that could distinguish each one of them? | ['Grace Wilkes', 'shashwat mahar'] | [] | ['amazon-web-services', 'css', 'gatsby', 'html', 'javascript', 'keras', 'python', 'rasa', 'tensorflow'] | 32 |
10,522 | https://devpost.com/software/codedocs | home
playground
Design
Codedoc: Practice coding interview with peers
😍 Visit
codedoc.space
play around with it yourself!
⛔ Not
www.codedoc.space
as DNS server is not updated yet...
Inspiration
Getting jobs especially as a technical role is really difficult in today's world.
What's even harder is getting interviews and getting through them without any hassle. Both of us have conducted multiple mock interviews with our peers and we noticed one of the major problems out there is the lack of coordination between the interviewers and the interviewees. There is not much meaningful interaction between the parties and does not end up being a good experience. That is why we built the platform.
Design
We wanted to achieve the Minimum Viable Product that will be expanded later. We carefully listed essential features that will best represent our application. Then we made a sketch of the application considering the essential features that would build in the hackathon.
See attached image named *
Features
Live code sharing
Timer
Authentication
Interviewee / interviewer relationship
Feedback
Review
Built With
css
domain
firebase
html
javascript
node.js
react
Try it out
github.com | codedocs | code docs for interview purposes | ['avinash vk'] | [] | ['css', 'domain', 'firebase', 'html', 'javascript', 'node.js', 'react'] | 33 |
10,522 | https://devpost.com/software/grizzhacks5-thrive | attentive
bit tired or lazy while attending online lecture or conference
feeling sleepy
Alarm Triggered
I woke up!!!
GrizzHacks5-Thrive
Purpose of the project :
Before going to the detailed coding part and setup, we want to tell you about the pupose of our project. Due to the pandemic situation the world facing now, every student is on the online learning mode, Right? Now, all we know that students get bored after sometime during the online lectures and feels a bit tired and lazy. Same thing is applied for the long conferences,etc.
So, we are came up with solution of this real problem. This project helps us to be alert and attentive in online conferences, lectures. We can keep this active while attending an important conference, a webinar or anything where we want to focus on screen in order to get most of it. We will build a system using Python, OpenCV, Tensorflow and Keras library.
Challenges faced:
For making the score counter from a value greater than 30 to 0 as soon as the person opens the eyes we find it quite difficult later we sorted it by making some changes.
Prerequisites :
The requirement for this Python project is a webcam through which we will capture images. You need to have Python (3.6 version recommended) installed on your system, then using pip, you can install the necessary packages.
Setup
Install OpenCV
pip install opencv-python
Install Tensorflow
pip install tensorflow
Install Keras
pip install keras
Install Pygame
pip install pygame
Run
python thrive.py
in cmd
Working of this Python project is as follows :
1: Take image as input from a camera.
2: Create a Region of Interest (ROI) by detecting the face of the image.
3: Then after that detect the eyes from the image.
4: Feed it to the classifier.
5: Classifier will categorize whether eyes are open or closed.
6: Calculate score.
Contributors
Atharwa_24
Suhas Kadu
Viraj Kadlag
Built With
keras
opencv
python
tensorflow
Try it out
github.com | GrizzHacks5-Thrive | this will help people to stay attentitive during online conferences,lectures,etc. By keeping a track on their eyes to be more concentrated and Thrive their objective of productivity | ['Suhas Kadu', 'VIRAJ KADLAG'] | [] | ['keras', 'opencv', 'python', 'tensorflow'] | 34 |
10,522 | https://devpost.com/software/themalcolmproject | Inspiration
Protesting against malicious policies or unethical treatment is human nature and will always be a key tool of civilization. With hundreds of thousands of people taking part in various movements or boycotting events, it is crucial to organize these events in a peaceful, civil way. This is where The Malcolm Project comes in.
What it does
Named in honour of Malcolm X for his contribution in the civil rights and the Black Power movements, The Malcolm Project is a platform that allows users to create, join and organize protesting events at a specific place and time. Users have the ability to explore protests according to their locations and filter events by time, place or cause.
How I built it
This project is entirely built using Python library Flask, along with HTML, CSS, and SQLAlchemy.
Challenges I ran into and what I learned
The most difficult part of this project was organizing every page and database in a tidy manner. I found that HTML template inheritance is key to having a neat website layout.
Accomplishments that I'm proud of
This is the first time I've developed a fully-functioning web app! Most of my focus has always been embedded/hardware related, so I'm very happy and excited to have found another passion in web development.
What's next for TheMalcolmProject
Expanding for sure! I'm still not done with this website, I was to improve its features and hopefully program more user interactivity into it!
Built With
css
html
python
sqlalchemy
Try it out
github.com | The Malcolm Project | Platform for arranging and organizing peaceful protests | ['Zahin Zaman'] | [] | ['css', 'html', 'python', 'sqlalchemy'] | 35 |
10,522 | https://devpost.com/software/hacktrend | Homepage - This is the first user interface when someone can visit to our website called Believer. It will navigate you to the services page
This is our services page. it have the card in it. which is probably shows the information regarding the prevention of covid-19 .
This is also be a part of our services page where we spread benificial information about COVID-19.
This is our About page is will give you the Key point of our website.it will tell you how you will be take advantages from this website.
This is our Main SENTIMENT ANALYSIS page where user will give emoticons/reviews and analysis whether it is positive , negetive or neutral.
Responsive design 1
responsive design 2
Inspiration
We all know that Sentiment will be always done by Machine learning and Data mining with the help of Python, but we done the Sentiment analysis by using JavaScript and its Package library that is React.
What is New
Sentiment is a Node.js module that uses the AFINN-165 wordlist and Emoji-Sentiment-Ranking to perform Sentiment Analysis on arbitrary blocks of input text. Sentiment provides several things:
Performance
The ability to append and overwrite word / value pairs from the AFINN wordlist
The ability to easily add support for new languages
The ability to easily define custom strategies for negation, emphasis, etc. on a per-language basis
With the use of Bootstrap-5Alpha version we prepared each component with from the scratch.
we use React-router-dom to redirect your page not reload your page.
Share our Feelings to all about COVID-19 How TO PREVENT IT.
We love to share our feelings with you all, as you all know covid-19 is at its peak and we have to Protect ourselves and others around you by knowing the facts and taking appropriate precautions.
So Our website will also aware you about covid-19 and how to prevent it. Its our pleasure to share these information's to you all who visited our website.
How it Works
AFFIN
AFINN is a list of words rated for valence with an integer between minus five (negative) and plus five (positive). Sentiment analysis is performed by cross-checking the string tokens (words, emojis) with the AFINN list and getting their respective scores. The comparative score is simply: sum of each token / number of tokens. So, for example let's take the following:
I love cats, but I am allergic to them.
That string results in the following:
{
score: 1,
comparative: 0.1111111111111111,
calculation: [ { allergic: -2 }, { love: 3 } ],
tokens: [
'i',
'love',
'cats',
'but',
'i',
'am',
'allergic',
'to',
'them'
],
words: [
'allergic',
'love'
],
positive: [
'love'
],
negative: [
'allergic'
]
}
Returned Objects
Score: Score calculated by adding the sentiment values of recognized words.
Comparative: Comparative score of the input string.
Calculation: An array of words that have a negative or positive valence with their respective AFINN score.
Token: All the tokens like words or emojis found in the input string.
Words: List of words from input string that were found in AFINN list.
Positive: List of positive words in input string that were found in AFINN list.
Negative: List of negative words in input string that were found in AFINN list.
In this case, love has a value of 3, allergic has a value of -2, and the remaining tokens are neutral with a value of 0. Because the string has 9 tokens the resulting comparative score looks like: (3 + -2) / 9 = 0.111111111
This approach leaves you with a mid-point of 0 and the upper and lower bounds are constrained to positive and negative 5 respectively (the same as each token!). For example, let's imagine an incredibly "positive" string with 200 tokens and where each token has an AFINN score of 5. Our resulting comparative score would look like this:
(max positive score * number of tokens) / number of tokens
(5 * 200) / 200 = 5
Tokenization
Tokenization works by splitting the lines of input string, then removing the special characters, and finally splitting it using spaces. This is used to get list of words in the string.
Future Aspect
In future aspect, this sentiment analysis will be achieve more in the state of Statistical business and it will gives you an easy advise that you have to make change in your decisions.
We love to share our feelings with you all, as you all know covid-19 is at its peak and we have to Protect ourselves and others around you by knowing the facts and taking appropriate precautions.
Sentiment Analysis is a study of people's attitude, opinions, and emotions to classify whether it is positive, negative or neutral.
Thanks Giving
I love to work with you GrizzHacks5 ,it was my pleasure to be a part of GrizzHacks5 and devpost community with MLH. i really enjoyed the sessions which is very benificial for me. and i love to work with a team like yours.
thanks again.
Built With
bootstrap@5.0.0-alpha1
css
html
javascript
npm
react
react-router
Try it out
github.com
aman339.github.io | Hacktrend | (BELIEVER-We Believe In You )Sentiment Analysis from Texts and Emoticons Feedback/Comments | ['AMAN KUMAR CHOUDHARY'] | [] | ['bootstrap@5.0.0-alpha1', 'css', 'html', 'javascript', 'npm', 'react', 'react-router'] | 36 |
10,522 | https://devpost.com/software/vertcart-bore52 | Inspiration
In my locality, COVID19 cases were increasing day by day, one of the main reason was social distancing was not being followed in fruits shops, as fruits were an essential item people were going to these fruits shops and without following any social distancing it ended up being a huge reason of spread of the virus.
Also over the years in the farms, they stopped growing what we called healthy vegetables. They started blooming what we called unhealthy lives. This is not a reality where we wanted to grow old or let the ones we care grow. Vertcart promises to take you to your origin Where whatever grew was the pure love of Mother Nature. Where everything we consumed was actually for having a healthy life. At vert cart, We want to take you us on a healthy journey with your loved ones where our principles won’t be sacrificed at the altar of profitability.
What it does
We deliver freshly picked fruits and vegetables at your doorstep. We made a very easy to use website which can even be understood my not some who is not tech-savvy .
How I built it
I built it using webflow, I learned a lot about webflow took the crash course and after some time trying it I finally was able to make the website
Challenges I ran into
Since the website would be used by older age people who are not that tech-savvy so understanding the design making the UI such that even they can easily use it was a challenge, understanding how e-commerce work was a challenge.
Accomplishments that I'm proud of
Completing the project on time, as I took a bit of time in understanding web flow although it was fairly easy to use
What I learned
I learned a lot especially how to design so that people from older age group are able to easily use our website, we made the design very simple and aesthetically pleasing so they can easily find out what products they are looking for that said one thing that I will definitely take away are how useful is Webflow in making website and how fast I can go from idea to product phase.
What's next for VertCart
We would like to start testing our product
Built With
webflow
Try it out
vertcart.webflow.io | VertCart | 100% Chemical Free and Organically Grown Vegetables and Fruits at your doorstep. | [] | [] | ['webflow'] | 37 |
10,522 | https://devpost.com/software/pizzas-in-peril | Level 5 Maze Layout
Level 3 Maze Layout
Level 2 Maze Layout
Level 1 Maze Layout
Level 4 Maze Layout
Inspiration
All of the members of the group were first-time hackathon participants with not a significant amount of programming or project creation skills, so we really had to look for a project that was both challenging and feasible. We thought that submitting in the pizza game category would be best for this because it was most similar to things that we had worked on in class and on our own, but would still be a new challenge for us.
What it does
Our game, titled
Pizzas in Peril
is a high-paced maze game, where the player must successfully deliver pizzas to homes without running into the sides of the maze. There are five different levels and three different speeds, which control how fast the pizzas go.
How I built it
We used Python and pygame to make the game. Because none of the members of our team had any experience working with user-interfaces, pygame was extremely important in providing such a beginner-friendly way to create a game. With pygame doing most of the heavy lifting, we were able to focus on more creative aspects of the game.
Challenges I ran into
Getting pygame to work on all of our machines was surprisingly hard. We spent a couple of hours on Friday night working it out, and one of our group members was never able to do so. In addition, we ran into a lot of problems because none of us had ever made a game before. There was a lot of learning that had to be done in the process of creating our project, and that definitely slowed us down significantly. Also, none of us had ever worked on a big project in a group before, and delegating work between each other was something new to us that we weren't so great at. A few times, we had two people working on the same thing at the same time without communicating it to one another. A lot of those miscommunications were smoothed out as time went on, though.
Accomplishments that I'm proud of
We are extremely proud that we were able to create a functional game. When we formed our group and realized that we didn't have very much collective experience, we were a little worried that our project wouldn't turn out, but after some hard work, we were able to make ends meet and come out with a game that is pretty fun.
What I learned
I learned a lot about working in a team. I had never done a big project like this in a group before, and my team hadn't ever done one ever. We always hear how important it is to learn how to work as a team, but in school, a significant amount of the work is done individually and we never learn those skills. I feel like this hackathon was really valuable in learning those skills. Also, I learned a lot about game development throughout this project, and reinforced some ideas in python that I hadn't brushed up on in a long time.
What's next for Pizzas in Peril
I would like to revisit this game at some point in the future when I learn more about game development. I think it has a lot of potential and had lots of fun playing it (excuse my lack of enthusiasm in the demo - I am tired). The game is far from perfect but it is easily the best game I've ever made and I'm really proud of it. I think that it would make a really cool mobile app where it is controlled with swipes (kind of like a top-down temple run if you know that game). Anyways, this is definitely not the end of Pizzas in Peril :)
Built With
gimp
pygame
python
Try it out
github.com
drive.google.com | Pizzas in Peril | Help deliver these pizzas through the crowded city! | ['Md Samad', 'Ryanconley4 Conley', 'Trenton Lach', 'Srikar Kante'] | [] | ['gimp', 'pygame', 'python'] | 38 |
10,522 | https://devpost.com/software/cube-slide-ld5sa7 | Inspiration
We always wanted to design and implement a game like Cube Slide. We are all new to game development, but we really wanted to take on the challenge and learn more about it.
What it does
An endless runner game with a cool twist. You have to collect snowflakes to stay frozen while also dodging obstacles. If you fail to do so, your ice cube will melt and you will have to start over!
How we built it
This was built using PlayCanvas, which is an in-browser game design software. It consists of JavaScript, HTML, and CSS. Free open-source assets were used.
Challenges we ran into
We initially had issues with controlling entity spawning and collision events. Another thing that was new for us was incorporating sound effects into a game.
Accomplishments that we're proud of
We didn't have as much experience in JavaScript previously, especially in game development, but we were able to quickly learn about the classes and methods that we needed to use.
What we learned
Our group learned a lot about game design and the different aspects of it. We learned to incorporate assets, movement, audio, and the generation/garbage collection of game objects.
What's next for Cube Slide
In the future, we plan on implementing additional features, such as new obstacles, rotating snowflakes, and leaderboards. We also plan on having different types of platforms on the ground, which would either increase or decrease your speed depending on the platform.
Built With
css
html
javascript
playcanvas | Cube Slide | What started as a small dream in a burger joint in Minneapolis, Minnesota became a reality during Grizzhacks 5. Come play Cube Slide, a fun side-scrolling adventure featuring an ice cube and spikes! | ['Jakob Short', 'Olivia Yee', 'Caleb White', 'Kyle Masiak'] | [] | ['css', 'html', 'javascript', 'playcanvas'] | 39 |
10,522 | https://devpost.com/software/speaking-freq | Login Page
About Page
Home Page (Sign Up)
Survey Cont'd
Survey on Home page Cont'd
Inspiration
My inspiration is my love for music and love for speaking on it. I have obsessed over producing songs before and recently I have gotten into web development. I thought this hackathon is the perfect time to merge them together.
What it does
Speaking Freq is a website that is intended to educate and allow collaboration with artists. Its goal is to have a vast scale of expertise from beginner to expert as a social media app for individuals pursuing making music. The
How I built it
Upon making the first index.php file I knew I had to add a PHP file to take care of the backend for the SQL database.
I made a SQL database through the XAMPP control panel and later PHPMyAdmin.
Challenges I ran into
I'm an electrical engineering major... In all seriousness, I had many bugs in my code and issues with PHPMyAdmin and the SQL database. These bugs did not allow me to fulfill my vision of starting to educate through the website. Sadly, I had little experience with SQL and had to look up a lot of documentation for PHP to allow the database to be linked. I had to constantly make a fake username, password, and email to check out what error I got on my localhost server. It was frustrating but I got through it and I won't stop me from continuing to pursue this project.
Accomplishments that I'm proud of
I have learned so much the past 30+hours. I felt passionate about this project even if it isn't close to being finished.
I feel like I have gone over the very large hump initially when learning something and now it is my time to improve with web development. Specifically, allowing users to register and take a survey was a proud moment for me.
What I learned
First and foremost, I learned how to persevere to the best of my ability in a project with a massive time crunch. I was very stressed about doing this project alone. I learned that I need to collaborate and I should be keen on finding a team at my next hackathon. It is ironic that I want to build a community and I did not team up with anyone. As far as content goes, minute things with coding in these languages and becoming more efficient in debugging the code was a huge learning milestone for me.
What's next for Speaking Freq
The UI is currently not what I envisioned but I will continue to work on it, making it fully functional and constantly improving it. Once it gets up to par with user experience and aesthetics, I plan to market it in efforts to educate and learn from the community I will hopefully build!
Built With
css
html
php
phpmyadmin
sql
visual-studio-code
xampp
Try it out
github.com | Speaking Freq | The top music artists can be described with many word but "Freak" is seldom used. Their FREQuency with their craft is on another level. Speaking Freq is a social platform to get to this level. | ['TazmanDoingBots Eram'] | [] | ['css', 'html', 'php', 'phpmyadmin', 'sql', 'visual-studio-code', 'xampp'] | 40 |
10,522 | https://devpost.com/software/papr-light-ynp8dh | Inspiration
.
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for Govid-19 Kit
Built With
adafruit
buzzer
leds
pressure-sensor
temperature-sensor
usd-power-bank
Try it out
github.com | . | . | ['Mohamed Hany'] | [] | ['adafruit', 'buzzer', 'leds', 'pressure-sensor', 'temperature-sensor', 'usd-power-bank'] | 41 |
10,522 | https://devpost.com/software/pixelboard-zhki1n | Inspiration
We like using Aggie.io but we always ran out of space. So we designed something like it that has enough space for us.
What it does
PixelBoard is a pixel based white board that uses the canvas element from html5, but it is rendered in chunks allowing the whiteboard size to be enormous. This means that camera functionality must also be added to the whiteboard. If you want to try it some tips are: zoom in and out with scroll wheel, and right click for easy camera movement. And don't worry if you draw something cool you can always take a picture
How I built it
We created a chunk class the would hold the data for the first chunk, and then created some tools to use on just one chunk. Then we removed some hard coded variables, and made everything relative. We then upped the chunk count and reworked bugs that that brought up. We then designed an elegant UI to frame the whole thing.
Challenges I ran into
Dividing the canvas into separate render able chunks, as well as accessing them seamlessly.
Accomplishments that I'm proud of
Dividing the canvas into discrete chunks. This allows us to only render what is on screen keeping the code efficient even at enormous sizes.
What I learned
Detailed TypeScript knowledge, esoteric jQuery commands, and using the HTML5 Canvas Element.
What's next for PixelBoard
We'd like to add peer-to-peer network capability's. This would allow multiple people to edit the same canvas without tying up resources, We think this would work great for brainstorming sessions, art fun, or in a classroom setting.
Built With
browserify
firebase
jquery
typescript
Try it out
grizzhack-whiteboard.web.app
github.com | PixelBoard | A Large digital pixel whiteboard used to mark out ideas and take snapshots. | ['Evan Smith', 'Jakub Szark'] | [] | ['browserify', 'firebase', 'jquery', 'typescript'] | 42 |
10,522 | https://devpost.com/software/project-polar | Losing Screen
Winning Screen
Title Screen
End of Level 1
Level 1
Level 2
Inspiration
Looking at our world today, a majority of species of animals are endangered and face the threat of extinction. Seeing this, we were inspired to partake in this cause and make any contributions we could as hackers. We decided to create a platform that can be accessed by people to learn more about endangered animals, specifically polar bears, and play interactive games on. The games are meant to attract a younger audience in the hopes that we can begin to educate kids about this early on. Animals are crucial to our life in the modern world and it is important that we do everything in our power to protect them.
What it does
The platform educates and spreads awareness about endangered polar bears, hence the name Project Bear. The platform also includes a link to a game that can be played by young children to gain a better understanding of the factors endangering polar bears. The game revolves around helping a polar bear get to safety and avoid obstacles such as plastic on the ground. In the game, there are 2 overall levels and there are berries to collect on the way. There is a running score on the top denoting how many berries the bear has collected. The player continues playing until they reach the end and can choose to replay or exit the game. On the platform, there is also a page outlining various funds the viewer can donate to along with various foundations the viewer can join to help make a difference.
How we built it
We both decided to divide the workload evenly to allow for efficient completion of the project.
One partner created the game through a game engine called GoDot which uses GDScript. Using various images online, we were able to code the collisions and actions of each sprite to create an effective video game. We also added 2 levels, each with collectible items to increase the player's score.
The other partner focused on creating the HTML page and designing the web application with educational information for viewers to learn from. There are different pages dedicated to providing information to the user about endangered polar bears. There are also pages explaining to the user how they can help and support this cause.
Challenges we ran into
Some challenges we ran into include coding the bear's movement within the game. Another challenge we faced was integrating the game into the HTML page as it was created in GoDot and difficult to implement within an HTML page.
Accomplishments that we're proud of
We are proud of our project overall as we were able to create something that can make a difference in the world and encourage others to do the same. We are also proud of the game we created and the functionality it has.
What we learned
We learned a lot about the different features of both GDScript and Flask. Within GDScript, we learned how to create a game with multiple levels and a score count. Within HTML and Flask, we learned how to integrate various items into the web application and how to style and design web-pages to make them visually appealing to the viewer.
What's next for Project Polar
In the future, we hope to further develop Project Polar and create it into a mobile app that can be downloaded by IOS or Android users. We hope that in addition to spreading awareness through a web application like this, we can educate even more people through mobile applications!
Built With
css
flask
gdscript
html
html5
javascript
python
Try it out
github.com | Project Bear | Spreading awareness to the youth about the threats that endangered animals face. | ['Riyap86 Patel'] | [] | ['css', 'flask', 'gdscript', 'html', 'html5', 'javascript', 'python'] | 43 |
10,522 | https://devpost.com/software/grizzhacks5 | Hello Judges, I am writing this at 2:04am after a rollercoaster of a day, so let me tell you about it. Our team of a veteran GrizzHacks hacker, a CUNY BC computer science student, an EMT bioengineering student, and a young High School student located in India proved to be quite the surprise team. Our project started as most do, with excited ideas and hope for what we will build. One of our teammates came up with the amazing idea of simulating an arm and calculating the forces and stresses applied to estimate the amount of force that can be applied. On Saturday morning we got to work, talking about our grand plans and how this will be the best project ever! We foolishly talked about how we would manage our project and keep the code clean. And as the High School student named Dhruv has never written a program in his life, we would give him small bite size tasks to complete. This was going to be the perfect project!
As we started planning, our EMT teammate started thinking through all the equations we would need to calculate in order to make this project work. These equations are the core of the entire project. As we are talking, I hear radio chatter, and then silence... our EMT was on duty and had a 911 call to go to. But he only posted some unfinished calculations before he left. Taking with him all our hopes and dreams as well. We sat around and talked about what we could salvage and what little we could scrap together. But, after a few hours we knew that he was never coming back and that we should probably just quit. The thing that hurt the most about that decision was letting Dhruv down. He was really excited to learn real programming skills and meet new friends, and having to tell him that we are giving up devastated him. GrizzHacks is all about building people up into amazing tech geeks, and we failed in that endeavor.
As the day started to end, I heard a ping. It's a message from Nate, our EMT. He sent a single picture with all of the information we needed to get started. We all rushed to our computers and started hacking. And when I say hacking, I really mean we slapped together the most unorganized mess of code and said, "Good enough". We really got together as a team and in the fastest and most beautiful way possible, we finished our project 3 hours ago. Each team member was able to contribute what they had, even Dhruv was able to pitch in which reignited his passion for tech. With all said and done, I am proud of each member, for their positive attitude and hard work.
P.S. If at all possible, please send Dhruv a T-Shirt. He told me that was the thing he was most excited about.
He takes a size Large, and he can be reached at his email:
dj1432004@gmail.com
Built With
java
Try it out
github.com | Muscle Stress Simulation | How much weight can you safely lift? Use our program to find out! | ['Nathan Richards NREMT', 'Matt Neighbour', 'Cassidy McAllister', 'Dhruv Jaradi'] | [] | ['java'] | 44 |
10,522 | https://devpost.com/software/rise-to-succes-not-that-easy-being-honest | questionaire
Inspiration
We live in Mexico, right now, corruption is sky-high. I wish that to change. But to do that, the world has to change
What it does
It makes people realize why politicians do the thing they do. It's not a good thing, but we challenge what they think, and from there we try to make them change what we should do.
How I built it
We thought about making a game first, but we realized that making a web app was much better. The game was made by doing a questionnaire, where each question had many answers, some may affect you in some way, others in others. From there we made the metrics, which are 6 different values, representing what people like
Challenges I ran into
many team members got tired and decided to call it quits, so with little to no experience, we had to make an entire webpage in Flask. We also had to make a lot of troubleshooting.
Accomplishments that I'm proud of
That overall, I turned in something. Not that big for many, but it really was important to me.
What I learned
A LOT about web development, especially in Flask
What's next for Rising to success: not that easy being honest
The next step is to add a much larger JSON file, with many more questions, and better integrations. We want to add more lore, and even extra tips and information, that way, it can really impact people
Built With
css
flask
html5
python
Try it out
github.com | Rise to succes: not that easy being honest | the world we live in is a corrupted mess, but how corrupted is it? we try to make an interactive game to show that | ['Alejandro hax', 'Jorge Pérez'] | [] | ['css', 'flask', 'html5', 'python'] | 45 |
10,522 | https://devpost.com/software/homees | Inspiration
As incoming university freshman, we were all understandably nervous about making friends, which is even more difficult with distance learning. In addition, people can sometimes be hesitant to reach out to others on social media, find it difficult to gauge who they'd be friends with, or fear being judged.
What it does
Our app simplifies the process of meeting others by matching students up based on shared interests and classes. A unique feature is that upon matching, students are anonymous. This encourages users to not judge others based on appearance or name, and to instead focus on getting to know each other through the chat. Users can share their identity once they've clicked, and there's no awkwardness if they don't. Of course, there can be safety issues associated with anonymity, so our app requires students to sign in with a campus email and has a report feature.
How we built it
We started out by drawing out a rough plan and creating mockups in Figma. We then built it in Java and Kotlin in Android Studio, and used Google Firebase for user authentication. We used Stream SDK for the chat portion.
Challenges I ran into
This was our first hackathon, as well as our first time using Android Studio and Firebase. It was definitely a challenge learning so many new concepts in a short amount of time, and we had a lot of trouble getting authentication and chat to work. Spending time working out these bugs also prevented us from implementing some of the additional features we had planned out.
Accomplishments that we're proud of
We were able to come up with the unique concept of anonymized chats, which would benefit a lot of students that struggle with introductions. Additionally, we were able to create a functional app with functional sign-in and chat.
What we learned
We learned how to use Android Studio to develop an Android app, specifically how to create different activities and layouts. We also learned how to use Google's Firebase database to store and work with user profile information.
What's next for Homees
We weren't able to implement all our originally intended ideas over the course of the hackathon, but we really like the concept and plan on improving on it. Some additional features include creating study groups based on classes and time availability and providing interaction ideas like question starters and online games.
Built With
android-studio
firebase
java
kotlin
Try it out
github.com | Homees | Making friends in college is hard enough--doing it online is worse. With Homees, get matched to people who share your interests, and you only have to reveal your identity if you click! | ['Ashi Mishra', 'Sanjana J', 'Surbhi Gulati'] | [] | ['android-studio', 'firebase', 'java', 'kotlin'] | 46 |
10,522 | 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'] | 47 |
10,522 | https://devpost.com/software/galactic-tactics | Inspiration
The primary inspiration for Galactic Tactics was the amazing game of Tetris. We wanted to make a storyline behind the game that would be reminiscent of 80's popular culture. We were also inspired by the "best pizza-related game" award, so we included a nod to an unnamed pizza chain in the game's backstory.
What it does
The goal of the game is to build a shield as dense as possible to protect the galaxies from the astronomical ray gun. The shield is built by using the arrow keys on the keyboard to manoeuvre falling blocks of various shapes into place.
How I built it
We designed the UI with HTML and CSS, and designed the back end functionality with JavaScript. We used a canvas as the area to display the blocks, which were organized into three primary shapes by object arrays. We used random numbers to determine the color pattern of the blocks and the shape that next appears. We drew the shapes onto the canvas with the function requestAnimationFrame(draw) and counted the score by calculating the length of the array containing the stationary blocks within the playing area. We used JavaScript and HTML together to display the score throughout the game and create a reset option that allows the player to play the game again without losing High Score data.
Challenges I ran into
The main challenge for our group was that three of our members had little to no experience with the programming languages that we used for the project. We faced a steep learning curve, but with the help of the Web Development Talk, the mentors, w3schools.com, and our fourth member, we were able to accomplish a lot.
Accomplishments that I'm proud of
I am proud of this project's functionality. Going into my first ever hackathon, I didn't know what to expect, and I had no previous experience with these languages, so the amount of programming I was able to do in a weekend with my group was a great learning opportunity. And we made something that works! -Jess
This was my first hackathon, and although I've been programming for a year now, this was a great experience to see the things I've learned be applied and work in a group setting. I learned a lot about teaching myself web development and working with other team members' code to create something functional. I'm quite proud of the outcome of the project despite most of us not being experienced in web development. -Jennifer
Like Jess and Jennifer, this was my first ever hackathon. Going into it, I had no group and no idea what to expect. I'm very proud of the project that my group and I were able to make in 36 hours. When we began, I had absolutely no experience with Javascript or HTML, but after attending a few events, I gained a better understanding of these programming/markup languages, and was able to finish a fun game with my group members that I'm very proud of.
Kacper
What I learned
We learned how to collaborate effectively from afar. Google Meet was a solid resource.
What's next for Galactic Tactics
One thing we would have liked to implement was rotation of the blocks. With more time, we would have also included a larger variety in block shapes. In the future, this game could be expanded to include these additions.
Built With
css
html
javascript
Try it out
github.com | Galactic Tactics | Build a shield to protect the galaxies! | ['Jess Roth', 'Kacper Wojtowicz', 'Jennifer Tran', 'Brandon Peterson'] | [] | ['css', 'html', 'javascript'] | 48 |
10,522 | https://devpost.com/software/smart-vegetables-saver | Inspiration
My family loves to grow vegetables in our backyard. The problem is that squirrels come and eat the vegetables and plants.
We also love animals and don’t want to kill them.
What it does
Concept of this prototype is to save vegetables and fruits from animals without killing them.
So as soon as any squirrel or mouse will come in backyard ,this device with motion detector will sense and click picture which will send to machine to process via Rasberry pi ,where we will get confirm signal that its squirrel and that signal will trigger machine code where its written to play drum and shake little bit and after this process Squirrel will run away .
How I built it
Motion detection will be done with a combination of a passive infrared (PIR) sensor and a PING ultradistance sensor. A light sensor (photo-cell) has also been added to verify if enough light is present for a good picture.
Photo will be taken and sent to Raspberry PI
Challenges I ran into
Finding API/IOT for Scanning animal and comparing with squirrels and then start signaling to drum.
Accomplishments that I'm proud of
making a machine to help animals and humans. I also enjoyed exploring all solutions.
What I learned
As a Middle schooler I learnt we can make lot of possible solution in python/AI.
What's next for Smart Vegetables Saver
smart vegetable saver will scan squirrels and shakes something so squirrel will run away and we can avoid making noise in night.
Built With
python
raspberry-pi | Smart Vegetables Saver | Protect your garden with a harmless invention. | ['Prisha Pandeya'] | [] | ['python', 'raspberry-pi'] | 49 |
10,522 | https://devpost.com/software/blackjack-1l0m9d | Inspiration
I was inspired to make this project since I was learning about using AIs in games, I thought I would try it with blackjack. I also planned to put this as a possible competitor in a game where you are playing blackjack but changed my plan with it. I chose blackjack since it is a fun and competitive game that can be played to win _ (usually lose) _ money.
.
What it does
I have an idea for an app that allows for after download, to immediately input your game status, for it to give you the best possible move. That means no signing in, or making accounts. You will input your status by doing three things. First, you will input the value of your starting hand. Like if you have a 6 of hearts and a 7 of spades, you input 13 as your starting hand. Next, you will input the dealer/opponent's show-card. Lastly, you will input whether you have a usable ace. A usable ace is an ace that can act as either a one or an 11 without going over 21.(BTW if you have a usable ace, use it as 11 in the hand input) Blackjack rules here:
https://www.onlinegambling.com/casino/blackjack/rules/
Challenges I ran into
I built my project in a way where it would play the game over and over again, randomly hitting or standing. From there it would save all the wins that it had that include all three categories. This means that I could create as much training data as I wanted. What was challenging was that I overestimated how much data I could train on at once, and often wasted hours training a model that would take too long to build. Eventually, I settled to 250,000 lines of code.
What's next for Blackjack Winner
For now, This blackjack project is just using a platform called Pyxeda for a proof of concept, but if I win any of the possible "best hacks", I will carry out my plan of turning this into an app.
Built With
ai
machine-learning
python
pyxeda
Try it out
aiclub.world | Blackjack Winner | Do you like winning? Do you like Blackjack? Do you like both? If so, then my app is right for you. Else, you have nothing to lose trying it. | ['Djoni Ray Muresan'] | [] | ['ai', 'machine-learning', 'python', 'pyxeda'] | 50 |
10,522 | https://devpost.com/software/super-platformer | boss
Super Platformer
The game is written in Java on top of LibGDX framework. Levels were designed using Tile Map
Editor
Inside the ZIP
a ZIP file contains 4 eclipse projects
SuperPlatformer
this is the main projects, all game logics are here
SuperPlatformer-Desktop
desktop launcher, the game can be run as Java Application
SuperPlatformer-Android
The android projects, everything regarding Android goes here
google-play-services_lib
Google library for Admob
Source graphics in SVG format
All graphics on vector format, Created using Inkscape
This Help File
How To Setup
Requirement
Eclipse with ADT installed
Steps
Put the super-platformer.zip into some location (the file naming may contain version number)
Run your eclipse
Import the super-platformer.zip with this step
• File → Import → General → Existing Projects into Workspace
• Select Archive file
• Locate and select the super-platformer.zip
• Select all 4 projects
• Finish
Make sure there are no errors on those 4 projects, clean projects if necessary
TIPS: the SuperPlatformer-Android may need to be closed and re-opened if there is any error.
If the Android sdk/platform/build tools version is too old, you'll be better to upgrade it.
Test
Rightclick on SuperPlatformer-Desktop/src/(Default package)/SuperPlatformerDesktop.java
Run as Java Application
If the game launched, congratulation... you have successfully setup the projects on your system
in desktop mode, you can use A & D as the direction and K & L for fire and jump
Admob
Edit the res/values/strings.xml under Android project, change the admob id with your id. Leave the
values blank if you are not using Admob.
Modification
Game Code
All the game logic is under project SuperPlatformer. However code that regarding Android is under
SuperPlatformer-Android. For example loading, hiding and showing ads are in that project.
Assets
Sounds and fonts
Sound and fonts are located under Android projects, go to assets folder. There are fonts and sounds
folder. Replace anything you want to change. But please take a note, many texts in the game are
images, You may also change the image text. Follow the next steps.
Images
The game is using pack images, it means many images packed into a large image. The GPU will
work faster using this technique.
See the packed images under folder assets/images in Android project.
To change that packed image, follow these steps
Using file explorer, open SuperPlatformer/raw_images
That folder contains all individual images before it will be packed
Replace the image with your new image (png)
Run “packer.java” in
SuperPlatformer/src/com.boontaran.games.superplatformer/Packer.java
Check the pack images under Android project
If your new images are added into the pack, congratulation, you have successfully pack the
images
Refresh the desktop project and launch the desktop game, the game should using the new
images now
Attention!!.. if you intend to change the project name, you must edit the Packer.java to point
the new location
TexturePacker.process(settings, "raw_images", "../SuperPlatformerAndroid/assets/images", "pack");
Edit The Level
Level was designed using Tiled Map Editor, you can get it for free at
http://www.mapeditor.org/
Open the TMX files under Android project in folder assets/tiled
Each TMX consists of some layers, there are Object layer and Tile layer.
Tile Layer is where the you design the level view, while Object layer is represent the game objects
Here is the Object layer naming :
Note : All object in object layers are a rectangle object
fixed
The object will be converted to the fix platform where the player and enemy walk
brick
The object will be converted to brick that can be destroyed by hero
entity
Here is the all game item, hero, enemy, coin, flag, etc....
The objects classified by the name
Before perform any editing, I suggest to play around with this program to make it familiar.
If you found an error after modify the TMX here is checklist to troubleshot
Make sure you put the object (rectangle) into the correct layer.
The fixed objects can overlap each other, but entity and brick should not
To edit the tile, replace the tiled1.png with your png, it should be 64x64 grid
Add New Level
Here is the steps if you want to make a new level and insert it into the game
Create a new TMX file, name it level5.tmx
Make sure you have add 'hero' object and 'flag' object in entity layer
Goto eclipse, right click on
SuperPlatformer/src/com.boontaran.games.superplatformer.levels
Select “new → class”
Name it Level6 extend Level class, see the other Level class for the example
6.
Open LevelMap.java to register the level icon
(SuperPlatformer/src/com.boontaran.games.superplatformer.screens/LevelMap.java)
Go to line ~45 , I have put instruction there
Open SuperPlatformer.java
(SuperPlatformer/src/com.boontaran.games.superplatformer/SuperPlatformer.java)
Go to line 190, I have put instruction how to register the new level.
Built With
android-studio
java
Try it out
github.com | super platformer | its a platformer game | ['Parth Tiwari'] | [] | ['android-studio', 'java'] | 51 |
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