Movie Recommendation System
Client
Personal Project
Date
2025
Role
ML Engineer
Project Overview
This project is a content-based movie recommendation system. It uses natural language processing and machine learning techniques to suggest movies similar to a user's favorite. The system analyzes movie data such as genres, keywords, tagline, cast, and director to calculate similarity scores between movies.
Key Features
- Content-Based Filtering
- TF-IDF Vectorization
- Cosine Similarity
- Fuzzy String Matching
- Top-10 Recommendations
- Interactive Command-Line Interface
Technologies Used
PythonPandasNumPyScikit-learn
