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
AssetVision is a machine-learning platform designed to predict and analyze real estate securities. It simplifies complex data processing and model training to help make informed investment decisions.
A Decision Tool for Investors and Operators
An explainable AI-driven loan eligibility platform that replaces black-box credit decisions with transparent, real-time financial intelligence.
MOVE classifies 64-channel EEG motor imagery into 4 classes using EEGNet and subject-independent validation, reaching ~42% CV accuracy (vs 25% chance).
Neural Extraction & Understanding System
We are going to explore a dataset containing information about patients who have been diagnosed with AIDS and predicts whether or not each patient died within a certain window of time.
What do people value in their neighborhood? How can data tell a story of social dynamics?
COVID rewrote real estate. Our 12-model ML system predicts apartment growth with 93% accuracy, and our AI chatbot lets analysts query insights instantly—all while protecting confidential data.
In this project we analyze the AIDS Clinical Trials Group Study 175 Dataset which captures demographic, clinical, and immune response data from AIDS patients undergoing early antiretroviral treatments
Ranking US counties by cost of living, so you can live comfortably in your new life
Predicting RevPAR Growth for apartments pre and post COVID, generating insights about how renter preferences changed after COVID and what features lead to outperformance
Mind2Motion decodes real and imagined human movement intent from EEG using multi-task deep learning, enabling subject-independent brain–computer interfaces for assistive neurotechnology.
Explainable multifamily RevPAR growth prediction before and after COVID
Measuring credit risk without a credit score
CurricuLens is a cosmic, AI-powered app that classifies educational content to standards instantly—beautiful UI, smart ML, batch predictions, and insights that make curriculum alignment fast, clear.
An end-to-end EEG classification pipeline that turns raw brainwaves into submission-ready predictions
Investigated AIDS treatment data through immune status classification, treatment arm comparisons, regression analysis, and statistical testing to evaluate patient health trajectories.
A two-stage, interpretable approach to EEG-based motor decoding.
With our project, we are able to analyze the factors that go into pricing properties in major American Cities. We also create tangible, more interactive ways to approach housing investments.
25 – 43 of 43
