DeepShelf is your AI-powered book buddy 📚🤖 — type what you’re in the mood for, and it finds the perfect novel using smart search + ranking ✨🔍

Service-separated scalable version of original BrainAPI (now community v0 version) project.

An AI-based inventory optimization system that leverages machine learning to predict demand, recommend menu items, and streamline stock management for restaurants and food service businesses.. — all deployed through a real-time Stream lit web app.

All-in-one stealth OSINT reconnaissance tool for threat intel, bug bounty, and red teamers. metadata extraction, and parameter fuzzing included.

A Flask-based movie recommender system based on TF-IDF vectorization and cosine similarity.

Exploring Bloom embeddings as a compression technique for recommendation algorithms. Aimed at reducing the size of large input and output dimensionalities to enhance training and deployment efficiency on devices with limited hardware. This project evaluates Bloom embeddings using various hash functions and compares them with alternative methods.

collaborative filtering project was developed using surprise library. It provides user based and item based search. It calculates similarity score and offers suggestions.

🎵 Unlock the Future of Music with Predictive Analysis!

Naive Bayesian Movie Recommendations: A Probabilistic Approach.

Visey Recommender is a production-deployed, content-based microservice that leverages vector similarity search to intelligently match startups with relevant businesses and funding opportunities.

Web Application for Movie Reccomendations using FAISS

An ML, Web-based music recommendation system that detects facial emotion and suggests songs.

full-stack blogging platform built with Flask/Python. Includes user authentication, profile management, and AI/ML features for sentiment analysis and personalized content recommendations.