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:
A deep learning web application that uses random forest and convolutional neural networks to evaluate risk of diabetes for Native American women in an effort to address Native healthcare inequity.
A no-stress psychoanalyfish.
Mixerify generates a 50 song playlist from the top new songs of the last two years among all relevant genres using Spotify. The playlist is generated based on your taste/ input playlist.
MelodifAI is a generative algorithm that learns from the great classical composers like Chopin, Bach and Mozart to create novel pieces of classical piano music using deep learning.
The Virtual Hospital is a web app that provides patients access to medical assistance online. The virtual chatbot can demystify medical terminology or answer medical queries.
A multi-label classification model to classify different diseases based on themicroorganisms in the gut microbiome - with minimal code, minimal complexity, minimal performance cost.
A quick and easy way to understand the clinical implications of your gut-microbiome.
yes
Gut Health! A multi class classification algorithm determining whether a person's gut is healthy or not. Using Tensorflow in Python, we are tackling Phyla's Challenge 2 and changing the world!
An app that scans a food item and determines if it is stale or not.
This ML-powered model uses several weak-learners and a meta-learner to make classifications.
A smart Spotify song recommender based on what you are reading using natural language processing
A high-accuracy multi-class gut disease classifier with extra trees model and feature selection. f1 score: 0.7947860962566845 kappa score: 0.6616239944064723 (see the colab link for results)
Our application firstly predicts future natural disasters and also shows them in the map. Basically it shows a world wide view of future natural disasters.
Focused on helping elementary aged children understand artificial intelligence through low level explanations of how AI works and activities involving image identification processes similar to AI.
Through this project, we combine various datasets to answer questions about what makes a popular song, and which songs we should play at a college party.
We perform analysis about ice cream flavors across various brands through the use of multiple datasets.
Web3 meets Hospital Management
One step towards eradicating food hunger and cleaner earth!
Prepared dataset to fit into an ML method for forecasting future price
Combing through the internet to deliver an enriching culturally relevant language learning experience.
Use a trained regression model to better understand how your designs affect the heating and cooling load in buildings.
Save yourself from toxicity to become more professional as a streamer or speaker. LiveGuard blurs obscene gestures and censors out swear words to save you from a ban or an intervention from your boss!
Machine Learning Model trained to predict the sentiment of text messages!
