This system helps users discover personalized audiobook recommendations based on their preferred genre, author, or book title, backed by data-driven insights and visualizations.
TrialMatchAI aims to seamlessly match cancer patients to clinical trials based on their unique genomic and clinical profiles using AI
Full-stack hybrid book recommendation system combining Collaborative Filtering and Content-Based Filtering with weighted hybrid scoring, modular data pipelines, and model persistence. Deployed via Flask with responsive HTML/CSS UI and integrated CI/CD for production-ready, scalable, and interactive recommendations.
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
This application serves as my personal career development command center, allowing me to leverage my professional history strategically when pursuing new opportunities.
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.
👕 Open-source course on architecting, building and deploying a real-time personalized recommender for H&M fashion articles.
Research and Development of a Product Recommendation System using Deep Matrix Factorization
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.
Priveedly: A django-based content reader and recommender for personal and private use
A collaborative platform for creating and curating personalized tech learning paths. Powered by Django, it tailors content based on users' skills and preferences, integrating external educational resources. http://34.72.154.173/
Adaptive Applications assignments taught at Trinity College Dublin.
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.
[ACMMM 2021] PyTorch implementation for "Mining Latent Structures for Multimedia Recommendation"
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.
GatorSched harnesses GPT-2 to intelligently parse and respond to queries from lifelog data, providing tailored recommendations and insights for effective scheduling
Unleash the Power of Music with Personalized Concert Recommendations.
Analyzing Temporal, Spatial, and Historical Data in Rating Prediction Algorithms: A Comparative Study
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