SmartRecs v1.0.0

This is the first official release of SmartRecs — a hybrid movie recommendation system built using public IMDb data and machine learning techniques.

Key Features

• TF-IDF + Cosine Similarity for genre-based content filtering
• SVD (Singular Value Decomposition) using the Surprise library for collaborative filtering
• Hybrid scoring that blends both methods (60% SVD, 40% genre similarity)
• Fuzzy title matching with typo-tolerant input
• Genre-safe filtering (excludes horror unless explicitly requested)
• Built and tested using Kaggle Notebooks (for large RAM support)

Notes

• Large IMDb dataset files are not included in the repo (see README.md for download links)
• Only .pdf versions of the project documents are retained for clarity

Thanks for checking out the project. Feel free to explore, clone, and build upon it.