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
Using Linear models and and Neural Networks to predict the peak output rate of Chevron fracked oil wells using factors like position, length, amount of proppant used, and amount of fluid used.
Some of the biggest contributors to global warming are planes. The goal of our project is to build a website that uses real-time flight data to allow users to pick cleaner flights routes.
We attempted to predict government assistance to states based on energy usage statistics. We used various machine learning models to see what factors were most important in predicting this.
A simple meal planner app designed with college students in mind.