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.

A TensorFlow.js Graph Model Converter

Finger pose classifier for hand landmarks detected by TensorFlow.js handpose model

A Chrome Extension to find out toxicity on any social media page.

Tuberclosis detection using tensorflowjs

Deploy image classifier on a static website using javascript.

Answering questions based on a given context or passage.

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.

Machine Learning Tokyo Tensorflow JS Workshop project

Vue JS project

Detect a maximum of objects the model can detect, in a minimum of time. (kinda paused for now)