Anime Recommendation System :-

This is a Python-based Anime Recommendation System that suggests anime titles to users based on their preferences. It uses collaborative filtering with user ratings and anime metadata, and provides an interactive UI using widgets.

Dataset Used

This project uses two main CSV files:

• anime.csv: Contains anime metadata such as titles, genres, type, episodes, ratings, etc.
• rating.csv: Contains user ratings for each anime (user_id, anime_id, rating).

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Features

• 🎯 Personalized anime recommendations
• 🧠 Collaborative filtering logic (based on user-item interaction)
• 🖱️ Interactive UI using ipywidgets
• 🧹 Preprocessing and data filtering (handling missing and negative ratings)
• 📊 Simple and clean recommendation logic

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Technologies Used

• Python 3.x
• Pandas, NumPy
• scikit-learn / Surprise (optional for model building)
• ipywidgets (for interactive widgets)
• Jupyter Notebook (recommended for running the UI)

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