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.

TFJS based finger pose classifier for hand landmarks detected by the MediaPipe Handpose model

A TensorFlow.js Graph Model Converter

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…

Deploy image classifier on a static website using javascript.

Use your webcam to identify gestures and trigger any script

Face tracker to detect and analyze lack of attention using facial features.

A simple tutorial on MediaPipe Selfie Segmentation.

transforms image or video into pixel art using tensor flow model body-pix

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 ]

Determining similarity between two sentences in terms of semantic using pre trained Universal Sentence Encoder from TensorFlow.js

Upload Image and Face Identification using React js and tensorflow model

Answering questions based on a given context or passage.

Interactive tensorflowjs BERT model for question answers on top of NextJS.

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

Real time AI hand pose detection and Gesture recognition app build by using ReactJS and react webcam

TensorFlow.js library codes and model training.