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recommendationsystem

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This project is a personalized music recommendation system that integrates machine learning models with the Spotify API to provide tailored music recommendations and playlist management. Built as a user-friendly web application using Streamlit, the system allows users to discover new music and organize playlists seamlessly.

  • Updated Nov 23, 2024
  • Jupyter Notebook

A scalable, production-ready movie recommendation system built using a microservices architecture. This application analyzes movie content features to suggest films similar to ones you already enjoy. this system examines genres, plot descriptions, and other movie attributes to find hidden connections between films.

  • Updated Apr 19, 2025
  • Python

ExploreItAI is a machine learning-based recommendation system built using Python, FastAPI, and scikit-learn. It is designed to analyze user behavior and preferences to suggest the most relevant events or activities. The core idea is to make event exploration intelligent and personalized

  • Updated Jul 31, 2025
  • Python

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