GatorSched harnesses GPT-2 to intelligently parse and respond to queries from lifelog data, providing tailored recommendations and insights for effective scheduling

GeoJobSearch is a web app that aggregates job listings, visualizes them on a map, and provides location-based insights. Built with React, Spring Boot, and Docker, it features filters, alerts, and mobile access for an optimized job search experience.

This application serves as my personal career development command center, allowing me to leverage my professional history strategically when pursuing new opportunities.

It describes the features of AWS personalize.

Research and Development of a Product Recommendation System using Deep Matrix Factorization

Analyzing Temporal, Spatial, and Historical Data in Rating Prediction Algorithms: A Comparative Study

Prometheon is a comprehensive media tracking platform built with Angular that helps users discover, track, rate, and review movies and TV shows. Keep your entertainment organized in one place with powerful tracking features, personalized recommendations, and a vibrant community of fellow film and television enthusiasts.

Adaptive Applications assignments taught at Trinity College Dublin.

Personalized OJ

MoodRiser is a web application created during a 24-hour hackathon at the CodeForAll Fullstack Programming Bootcamp. Utilizing HTML, CSS, JavaScript, Python with Flask, and various APIs including Spotify and Google Books, and OpenAI, this SPA helps users manage their emotions through personalized content recommendations based on their current mood.

An intuitive movie recommendation system leveraging genre similarity with TF-IDF and cosine similarity for a personalized film discovery experience.

Ten Retail Data Analytics Projects, Heavy Focus on ML. Emphasis on consumer behavior.

This repo presents codes that helps patients to get informed about diverticulitis from food meal image with help of Ollama and MedGemma with VLM in local setup

A book search engine with support for title search, author search, and multilingual query and result; results tailored to each user given one's past book ratings and to-read list.

Movie Recommendation Anytime Anywhere

A demo app to show how the implementation results look like when AWS Personalize is trained with movie lens dataset.

Use the Scikit-Network for PageRank algorithms including Topic-specific PR and improve the performance of various recommendation-systems using Surprise library

This system helps users discover personalized audiobook recommendations based on their preferred genre, author, or book title, backed by data-driven insights and visualizations.

Unleash the Power of Music with Personalized Concert Recommendations.