Build and deploy a Flask app based on ELECTRA(SOTA) NLP model which extracts answer from a context provided as an input.

Build a CNN based system which recognise students and mark their attendance using a CCTV camera as a input data.

The project is developed usinge DL algorithms in which the attender just have to show there face and using there face measurements it finds the and match the measurements that from the database. It is like a face detection and recognition system used for school or college or workplace attendence.

This is a real time human face detection using python, openCV and Keras.

This project process the video frame by frame.

In this project I have trained a Machine Learning model to predict the salary of a fresher on the basis of thier performance in the academics and amcat exam.

In this project I trained a machine learning model to detect chronic kidney disease in patient on as per their report at early stages so that it can be cure.