Welcome to the Movie Recommendation System! This project is designed to recommend movies based on their content similarity, using a dataset of 5000 movies from TMDB. Built using Python, it offers an intuitive and interactive interface powered by Streamlit.

Implemented the MIRNet model from the research paper as part of our M.Tech end-semester project in Image Processing. The project focuses on image restoration using deep learning, where MIRNet was used to enhance and denoise real-world degraded images. As an extension to the original paper, we introduced an additional sharpening module to restore texture and detail that were slightly smoothed out by the MIRNet model, making the final output visually sharper and more defined.

Built an Anomaly detection system using the Kaggle Credit Card Fraud Detection dataset to identify fraudulent transactions in real-time. The project tackles a highly imbalanced classification problem, with frauds accounting for just 0.172% of total transactions.

Built a machine learning-based T20 Cricket Score Predictor that estimates the final score of a team based on the current match context. The app leverages T20 World Cup data and considers critical parameters like runs, wickets, overs, batting team, bowling team, and city.

Developed an interactive dashboard using Streamlit to analyze airline data stored in SQLite databases. The application allows users to upload SQLite files, dynamically select tables, and perform comprehensive Data exploration and visualization.

This Kanban Board application was the assignment of QuickSell that was built using React.js + Vite and allows users to manage tasks effectively. The application fetches data from an external API and provides functionalities to group and sort tasks based on various criteria.

I have kickstarted the work of VyasAI from scratch. Suggesting the UI design, theme project planning, standup meetings etc and other feature on the website. Apart from this I have worked here as a Data Scientist Intern I have also partially contributing and helping the interns that were working on this project.

Developed a web application using React, ReactBootstrap, and Firebase for Teach For India to manage volunteer registrations and classroom allocations. This was a Prework Assessment.

Created and deployed a chatbot for handling customer queries at KGiSL Mutual Fund. Integrated the Chatbot with multiple platforms, including WhatsApp, Telegram, Google Assistant, and external call APIs, to optimize accessibility and reach.

Chatbot a was a solution for the problem statement at Internal Smart India Hackathon SIH. Chatbot provide healthcare information through a range of communication channels. Integrated the Chatbot with multiple platforms, including WhatsApp, Telegram, Google Assistant, and external call APIs, to optimize accessibility and reach.

Created to gain knowledge on pagination in React.