AI Movie Recommendation System using Python ML

The AI Movie Recommendation System is a smart application developed using Python and Machine Learning that recommends movies to users based on their preferences and ratings.

This project is ideal for BCA, MCA, B.Tech, M.Tech, and Data Science students as a final-year or mini-project.

Key Features

• User Registration and Secure Login:
  The system provides a secure authentication mechanism that allows users to create personal accounts. Each user receives personalised recommendations based on their individual activity.
• Movie Search Functionality:
  Users can search for movies by entering movie names. The system records search activity to understand user interests even when explicit ratings are not provided.
• Rating Mechanism:
  Users can rate movies based on their preferences. Ratings play a significant role in identifying user taste and improving recommendation quality.
• Search History Tracking:
  The system maintains a record of movies searched by users. This data helps in analysing viewing patterns and generating accurate recommendations.
• AI-Based Recommendation Engine:
  The recommendation engine uses content-based filtering and collaborative filtering techniques to analyse user preferences and suggest relevant movies.
• Personalised Recommendations:
  The system generates customised movie suggestions for each user, ensuring a unique and relevant recommendation experience.
• User-Friendly Interface:
  A simple and intuitive interface enables users to interact easily with the system, eliminating technical complexity.
• Efficient Data Storage:
  User data, movie information, ratings, and search history are stored in a structured database, enabling fast retrieval and efficient processing.

Overall, the AI Movie Recommendation System offers a sophisticated solution to the problem of movie selection by integrating user interaction data with machine learning algorithms. The system enhances user satisfaction, reduces manual search effort, and highlights the effective use of artificial intelligence in personalised content recommendation.

 Technologies Used

• Programming Language: Python

• Machine Learning: Scikit-learn

• Libraries: NumPy, Pandas, Matplotlib, Seaborn

• Algorithms Used:

  • Logistic Regression

  • Random Forest

  • Decision Tree

  • Support Vector Machine (SVM)

• Dataset: AI-based Career Recommendation  Dataset

• Frontend: HTML, CSS, Bootstrap

• Backend: Django

 Who Can Use This Project?

• BCA / MCA Final Year Students

• B.Tech / M.Tech (CSE / AI / ML) Students

• Healthcare AI Researchers

• Machine Learning Learners

• College Mini & Major Projects

 What You Get

 Complete Source Code
 Machine Learning Model
 Dataset
 Project Report (PDF/DOC)
 PPT Presentation
 Installation & Execution Guide
 Free Support for Setup