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
A fully autonomous machine learning engineer agent with the ability to self heal, analyze, evaluate and make improvements.
FYPothesis - The Autonomous AI Researcher.
A lightweight AI-image detector built to survive what happens after upload: compression, cropping, reposting. The real test most detectors skip.
Agent AI-yoh is an autonomous AutoML research agent that designs, runs, and audits recommender-system experiments, helping teams discover better models with reproducible, trustworthy evidence.
We gave an AI agent a dataset and a scoring rule without hints. It proposed, coded, and tested its own recommender models, which beat the official baseline entirely on its own.
Combining deterministic constraint filtering with fail-open AI reranking to maximize conversational search precision.
Cleri is a shopping assistant you actually talk to, not a search bar with dropdowns. Say what you want in plain words. Change your mind halfway through. Skip questions you don't care about.
Robust AIGC Detection using Dual Parallel Towers (DINOv2 ViT-L)
Loupe is a private shopping copilot that swaps its final ranking between fast local embeddings and deeper local LLM reasoning, nothing leaves your device.
Combine small specialized expert models to robustly detect AI Images
CamTrace-6M fuses frozen CLIP semantics with camera-pipeline residuals to detect AI-generated images after JPEG compression, blur, resizing, noise, colour changes, and cropping.
An LLM agent that runs the full ML research loop solo, from codes, trains, evaluates, and self-repairs on real recommender data.
An offline, evidence-aware conversational shopping search agent that follows evolving intent and constraints to surface the right product faster.
Calling AI’s bluff, one image at a time.
AI shopping agent that turns vague preference into the right product with high efficiency
AI image detection that survives the internet
A backend Bouncer that separates an AI Agent's identity from its human's revocable authority.
A provenance-aware authorization gateway for Agent tool calls – the same tool, the same permission, the same public reference type, allowed or denied based solely on where the data came from.
NawGate is the trust layer for AI agents and teams. It secures DAG-coordinated workflows with just-in-time access, human approval, revocation, and audit-ready evidence.
An offline conversational shopping agent that understands evolving preferences, handles Intent Override, and returns reliable Top-10 recommendations every turn.
Robust detection of AI-generated images under real-world transformations.
A Conversational Shopping Copilot That Knows When to Ask, Rank, and Adapt
Offline-first conversational search that finds the right catalog product even when shopping intent is vague, evolving, or replaced.
AURA doesn't just tune a recommender — it proves it: a firewalled, fully logged search that beat the FM baseline by +0.0039 with zero human input and zero API spend.
121 – 144 of 614
