Projects

An AI Project which detects the Hand Gestures and then Generate Images based on those Gestures. It uses MediaPipe Hands and Stable Diffusion models. This Project is a perfect showcase of Deep Learning and Generative AI.

A Streamlit-based movie recommendation app that suggests movies based on a user's selection. The system utilizes a precomputed cosine similarity matrix to recommend movies that are most similar to the one selected by the user.

Deep Learning NLP tasks focused on text classification using RNN, LSTM, Bi-RNN, and Bi-LSTM models with additional feature engineering like sentiment, readability, and structure.

This project focuses on detecting anomalies in human behavior from CCTV footage to enhance public safety. It uses AI techniques and hybrid vision transformers to identify abnormal activities. The repository includes model training scripts and data labeling tools, with a mobile app integration.

A data science project predicting FIFA World Cup outcomes using a Kaggle dataset and machine learning techniques like linear and logistic regression. The project involves data preprocessing, feature engineering, and model evaluation to analyze team performance and predict match results.

Generates convex hulls using different algorithms. Also implemented an algorithm explained in a research paper.

This e-commerce website is built with React.js, Node.js, and SQL, featuring product listings, user authentication, and a shopping cart. It provides a seamless shopping experience with a responsive UI and efficient backend architecture.

Implementation of a Variational Quantum Classifier (VQC) using Qiskit, exploring quantum machine learning concepts like quantum neural networks, feature mapping, and optimization techniques.

Simulated QSDC using Qiskit to securely transmit quantum-encoded messages and detect eavesdropping through quantum state discrepancies.

A file compression application that is based on PDC concepts created in C++. It can only encode .txt and .bmp files and is completely CLI based.

An image classification model using deep learning and CNNs to detect the freshness of fruits and vegetables.