I enjoy making things. Here are a selection of projects that I have worked on over the years.
A computer Network project to test the packet transferring by creating a terminal based chat application using sockets.
Real time packet sniffing similar to wireshark using python.
Encrypt & Decrypt your PDF files
Remove background from images.
Implementation of Quantum Neural Network as well as Classical Convolutional Neural Network for Classification Task on the popular Fashion MNIST dataset.
This project analyzes football players in a video to measure their speed, ball control and distance covered and more.
Simple implementation of Variational Autoencoder on MNIST with keras number Dataset.
This project analyzes Tennis players in a video to measure their speed, ball shot speed and number of shots.
Protein Structure Prediction using Deep Learning and Attention.
Brain Tumor Classification framework built with CNN architectural models and deployed into streamlit cloud server to predicts the brain tumors.
Predicting the diameters of asteroids using machine learning and astronomical data.
This is a Flask web app which shows the images after segmenting using Particle Swarm Optimization.
Predicting the Particle Collisions using Artificial Intelligence from a dataset of collision images.
This is a Data Science project in which we are going to create machine learning models to make predictions of a football match and betting predictions.
Monkey Detection System built with YOLOv7 as a solution to the problem of monkeys entering the agricultural fields and destroying the crops.
This is a project in which Deep Learning models are used to make prediction of a digit which is writting by hand, using the MNIST dataset.
Heart Disease Prediction System built with SKLearn using Deep Learning Neural Networks by applying multiple Deep Learning Algorithms to give the best model.
Twitter 3.0 with Blockchain and Smart Contract Technology to ensure the security and privacy of user data. Developed using Solidity and NextJS.
Face Mask Detection System built with OpenCV, Keras/TensorFlow using Deep Learning and Computer Vision concepts in order to detect face masks in static images as well as in real-time video streams.
