Effortless YOLOv5 javascript deployment
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Updated
Oct 3, 2022 - TypeScript
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 🌐
😊😥🤣'Customer emotion recognition is technology that helps businesses automatically understand customer feelings.
Interactive rock paper scissors game using computer vision techniques
Moondream VLM-powered labeler one-click YOLO export
🔐 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.
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.
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.
AgroGuard is a deep-learning-based application that helps us identify different diseases in plants and provides timely cures.
Rock Paper Scissor game playing using Yolov11 model.
Smart OCR app for reading electricity meters from images
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