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:
AI-powered traffic coordination with smart signals, vehicle tracking, ambulance prioritization, and GitLab-driven automated testing, security, and deployment.
AI maps flood damage and cut-off villages from free satellite data; anyone can re-run it to verify, and a smart contract pays relief only once the report is confirmed on-chain.
Proof of delivery, for people selling from home. A Ring camera confirms the item was collected, and the app never stores a face.
BlackBox gives cameras persistent memory, letting Alexa+ answer where objects likely are, what changed, and what remains unknown using evidence-grounded visual reasoning.
Autonomous satellite AI and Ethereum smart contracts eliminating phantom carbon credits through real-time, tamper-proof dMRV.
E-TAP analyses suspicious emails; GitLab Duo agents write, review and test its detection rules, and a person approves every merge.
Algorithmic net rental yield engine and off-plan real estate due diligence tool for property investments across Thailand, Cambodia, and Bali.
Cross-border PropTech intelligence and automated due diligence platform for real estate investments in Southeast Asia.
Find kit changes, recover tricky captures, and guide the next check with OpenCV 5 and a reviewable decision trace.
A child's paper drawing becomes a live puppet on Fire TV and stars in a bedtime story they steer with the remote. The parent's phone just scans a QR code.
“Verify Smarter, Detect Fraud Faster — AI-Powered Document Verification for a Safer Digital World.”
Sign in with your face and a hand gesture only you know. WaveLock combines OpenCV face recognition, a random liveness challenge and gesture matching to resist photos and replays.
Autonomous OpenCV 5.0 agentic vision on AWS Graviton2 & S3 that perceives degraded scenes, auto-remediates low-light pixels via LAB CLAHE, and grounds multimodal AI in deterministic HUD telemetry.
Compliant Amazon listing images, product untouched.
SCANOVA AI detects possible kidney stones using AI-powered scan analysis and generates quick reports to assist doctors.
SafeHome AI uses AI to help secure homes by monitoring cameras, managing smart devices, detecting suspicious activities, and controlling visitor access through one smart dashboard.
Pathlight turns the Ring cameras a shop already owns into a foot-traffic heatmap on its own floor plan, with counter-queue alerts and a weekly AI note. No new hardware, no calibration.
You’ve had hands your whole life. Why does your computer still need a mouse? MIRA turns your hand gestures into everyday controls. Move, click, scroll, or change the volume—just by moving your hand.
Aero1Track3D turns a single drone flight into an interactive, georeferenced 3D model you can measure and question in plain language, with a built-in “Trust 3D” score that shows how believe the result.
A calm desk coach: OpenCV 5 reads your posture and fatigue cues, and an agent decides whether to nudge, look again, or stay quiet. Your video is never stored.
From pixels to action: powering autonomous robotic manipulation with OpenCV 5 and validating perception performance on AWS.
Inspec-Ther uses computer vision on drone thermal maps to find the exact faulty module in solar farms with hundreds of thousands of panels, turning days of manual review into minutes.
An AI agent that inspects solar panels: it scans every cell with OpenCV 5 on AWS Graviton, looks closer when unsure, then opens a repair ticket or asks a human.
Using OpenCV 5 to upgrade our fridge app: checks each shelf photo before the AI sees it, picks small labels for a closer look, and flags what may have changed. A person confirms every change.