Label Studio is a multi-type data labeling and annotation tool with standardized output format
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Updated
Dec 1, 2025 - TypeScript
Label Studio is a multi-type data labeling and annotation tool with standardized output format
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.
🚀 Unify, manage, and optimize multiple AI service APIs with Claude Code Hub for seamless integration and real-time monitoring.
😊😥🤣'Customer emotion recognition is technology that helps businesses automatically understand customer feelings.
Interactive rock paper scissors game using computer vision techniques
Tool to visualize images and boxes from dataset for YOLO training
🔐 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.
Calculate a score from the Forest Shuffle (german Mischwald) board game with computer vision
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.
⛱ Broadly scoped ecosystem & mono-repository of 198 TypeScript projects (and ~175 examples) for general purpose, functional, data driven development
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