Movie Recommendation System Django + Machine Learning

Intelligent Movie Recommendation System

🚀 Build a Smart Streaming Experience with AI-Powered Movie Suggestions

This is a fully functional Movie Recommendation System (MRS) built using Python (Django Framework) with Machine Learning integration, capable of delivering intelligent movie recommendations with an engaging web interface. Designed as a paid, professional-grade project, it’s perfect for developers, startups, and academic applications.

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📦 Project Summary

🔥 Available Features

• 🎞 AI-Based Movie Recommendation
  Automatically suggests similar or related movies based on user search input using a pre-trained model.
• 🔍 Search with Auto Suggestion
  Integrated search functionality using jQuery UI for dynamic movie title suggestions.
• 🖼 Responsive Frontend Interface
  Includes HTML, CSS (navbar.css, page.css, cursor.css), and JavaScript for an interactive UI.
• 🎥 Background Video & Custom Branding
  Uses a video background (production ID_4779866.mp4) and branding elements like logo.png.
• 📁 Static Resource Setup
  Assets such as icons, fonts, and normalization styles are included:
  @tabler/icons, font-awesome, normalize.css, jquery-ui, bootstrap.
• 📊 Integrated Machine Learning Model
  The system is connected to a model in .parquet format that enables accurate movie suggestions.
• 📓 Included Training Notebook
  A Jupyter Notebook (Movie_Recommendation_System_Complete_Guide.ipynb) is provided for understanding and replicating the training process.

💡 Project Structure Overview

• movie_recommendation/ — Main Django app config
• recommender/ — Contains core logic for recommendation, views, and URLs
• db.sqlite3 — Preconfigured SQLite database
• static/ — Frontend styling and static assets
• templates/ — HTML templates used in rendering pages
• requirements.txt — All Python dependencies for easy setup
• manage.py — Django management script