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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.
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…
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 ]