Devpost
Participate in our public hackathons
Devpost for Teams
Access your company's private hackathons
Grow your developer ecosystem and promote your platform
Drive innovation, collaboration, and retention within your organization
By use case
Blog
Insights into hackathon planning and participation
Customer stories
Inspiration from peers and other industry leaders
Planning guides
Best practices for planning online and in-person hackathons
Webinars & events
Upcoming events and on-demand recordings
Help desk
Common questions and support documentation
Sort by:
An extensible, open source and explainable deep CNN model for redicting the presence of COVID-19 in chest x-rays.
Internet trolls seek to create chaos on social media spreading misinformation. For this issue, I worked on developing a deep learning model that detects if post/comment is from a troll or not.
True character and moral responsibility is revealed during times of adversity. The COVID Response allows people in the future to see which companies took action and which did not.
Tankmensional is a web-based tool for college students that predicts and plots the consumed power for liquid agitation using fluid mechanics models.
A search engine specifically curated for aspiring developers.
Tool that helps users who have contracted coronavirus trace who they've been in contact with recently
COVID-19 has impacted everyone's lives significantly. We want to remember the changes that companies made to contribute to the effort of fighting it.
An analysis, visualizer, and dashboard of Windsor's busiest intersections
Stay home. Stay safe. Start cooking.
A Web Application Prototype built for Doctors to find out whom to test for the infection first under a limited testing capacity by finding out the probability of a person having the infection.
It’s necessary to be informed about vital info, but it’s hard to find it all in one place! You can always count on Map Mania: Your Daily Dose of Information! to provide accurate info all together!
We have developed a clustering algorithm using Jaccard Similarity that finds common features between multiple records and groups them. We are able to get an accuracy of 96.02%
Weekly makets are closed. Small vendors struggle. Lets go digital.
model that identifies and matches the various records of a patient to the patient
Envision the Best Future For Your City
With the recent coronavirus craze, there is a lot of news from a lot of sources- which makes getting solid information about COVID that much harder. Enter COVID-Dashboard, a dashboard to end them all.
Patient Aggregator Through In-depth Examination of Near Text Similarity
Find out whether you should social distance or not, based on a variety of factors from population density, population age, progression rate, and more
A chart based stock comparison tool made using Flask and d3.js that allows users to find meaningful insights from complex and hard to access financial data from the federal reserve and yahoo finance
Patient matching is an important unsolved problem, and accurate matching of patient records can save lives. Patiently presents an accurate and novel solution with a clean interface.
a way to predict corona spread
A machine learning model using multiple classification algorithms for analysis and prediction of Parkinson disease.
My idea is to capture the people's bike numbers who are violating the home quarantine and this has some constraints.
It's always annoying to spend time in traffic especially when crossing the border. It's alright. We got you! With our web-app predicting travel time, why bother to cross border?
