Real time AI integrated Image classifier and identifier built with ReactJS , TensorflowJS and Tensorflow models
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Updated
Jan 15, 2024 - JavaScript
Real time AI integrated Image classifier and identifier built with ReactJS , TensorflowJS and Tensorflow models
Real time AI hand pose detection and Gesture recognition app build by using ReactJS and react webcam
Real time AI Body pose estimation and positioning app build by using ReactJS and react webcam
transforms image or video to pixel art using tensor flow model body-pix
A simple store site which uses TensorflowJS hand pose detection to place cat food orders -which gets stored to db
A simple image classification app created using tensorflow-js and react. The app uses the pre-built MobileNet v2 model for image classification without going through any additional training process.
TFJS based finger pose classifier for hand landmarks detected by the MediaPipe Handpose model
Answering questions based on a given context or passage.
This repository demonstrates an end-to-end pipeline for real-time Facial emotion recognition application through full-stack development. The frontend is developed in react.js and the backend is developed in FastAPI. The emotion prediction model is built with Tensorflow Keras, and for real-time face detection with animation on the frontend, Tenso…
Upload Image and Face Identification using React js and tensorflow model
Faciem-Deprehendatur is a web application which can do our Real Time AI Face Landmark Detection using Pre-Trained Model " Facemesh-Landmark-Detection " of Tensorflow.js and shows the Face-Mesh by connecting the 3D points through neutral networks on React-Webcam [ a React.js package ]
In this repository, I have developed the entire server-side principal architecture for real-time stock market prediction with Machine Learning. I have used Tensorflow.js for constructing ml model architecture, and Kafka for real-time data streaming and pipelining.
Face tracker to detect and analyze lack of attention using facial features.
A Chrome Extension to find out toxicity on any social media page.
Evaluates a client-side model built on top of the Universal Sentence Encoder to detect hateful content selected for the analysis
TensorFlow.js library codes and model training.
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