Effortless YOLOv5 javascript deployment
Find vacant parking spots in indoor and outdoor locations
Easily run YOLOv11 object detection models in a TypeScript Bun environment. No Python, PyTorch, or heavy dependencies needed.
Nirikshan: An AI-powered real-time road accident detection system using YOLOv11 and CCTV footage, built with FastAPI & Next.js for instant alerts and emergency response.
A drawing app with shape correction powered by ML
🚀 Backend Project Social Network 🌐
🚀 Advanced AI-powered surveillance system for Andhra Pradesh Government Hackathon. Real-time camera monitoring with YOLO object detection, intelligent analytics, smart alerts, and comprehensive dashboard. Built with Next.js, TypeScript, Python backend, and modern web technologies.
Interactive rock paper scissors game using computer vision techniques
🔐 Zenpark – Smart Parking Management System Zenpark is an AI-powered smart parking solution that uses YOLO for vehicle detection and OCR for number plate recognition. It features a real-time monitoring system with FastAPI backend, MongoDB & MySQL for data management, and a React Native frontend for seamless access and control.
Tool to visualize images and boxes from dataset for YOLO training
🚀 Unify, manage, and optimize multiple AI service APIs with Claude Code Hub for seamless integration and real-time monitoring.
Helper functions to use models converted from YOLO in browser and Node.js.
The NutrixSense application is a web-based application that aims to calculate daily calories and nutrition in Indonesia using object detection from the YOLOv8 model. This application also allows users to calculate food calories and nutrients manually.
Calculate a score from the Forest Shuffle (german Mischwald) board game with computer vision
⛱ Broadly scoped ecosystem & mono-repository of 198 TypeScript projects (and ~175 examples) for general purpose, functional, data driven development
A smart vehicle access control system using machine learning and Supabase. The ML component processes video streams to detect and identify vehicles in real-time. The UI enables users to register vehicles. When a vehicle is detected, access is granted if it is registered—otherwise, it is denied.
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