Using TensorflowJS detection models in Angular

Utilizing cutting-edge machine learning capabilities, this project transforms your webcam feed into a dynamic visual scanner, identifying objects in real-time. It's a practical demonstration of integrating advanced AI models directly into a responsive web environment.

An AI-powered web application leveraging Next.js 14 and TensorFlow.js for real-time object detection. Utilizing Tensorflow model for accurate detection, webcam integration for live video streams, and Media Recorder API for seamless recording.

Object detection using ReactJS + TensorFlow.js + CocoSSD

A site that generates hook up lines based on the image uploaded. Project started from scratch incorporating a dedicated worker and utilizing the blazeface and cocossd tfjs models.

An AI-powered image recognition & conversion app built with Expo + React Native. It demonstrates deep learning models for object detection, food recognition, text-to-image conversion, and multicultural appearance classification.

Object detection with react webcam and tensorflowjs cocossd

Object detection API using TensorflowJS with CocoSSD model

Detect People, start auto recording, click pictures and save it to your device. Works on both mobile and desktop. It uses cocossd Tensorflow Js model for Object Detection. Next js for frontend.