AIML-Project

🎬 Rashmi Recommends — Movie Recommendation Engine

A streamlined, multi-method recommendation system built using the MovieLens dataset. This app offers content-based, collaborative, and genre-driven suggestions — all through an interactive Streamlit interface.

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📦 What It Does

Users select a movie, and the system returns recommendations using:

• 🔖 Tag-Based Content Filtering – via tag relevance scores from genome_scores.csv
• 👥 Collaborative Filtering – using item-based cosine similarity over ratings.csv
• 🎭 Genre-Based Filtering – powered by TF-IDF on the genres column in movie.csv

Each technique provides different yet complementary perspectives on what users might enjoy watching next.

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🚀 Try It Out

To run locally:

git clone https://github.com/Rashmi12-coder/AIML-Project.git
cd AIML-Project
streamlit run cleaned_recommender_app.py