Movie Recommendation System Django + Machine Learning
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Intelligent Movie Recommendation System
This is a Movie Recommendation System made using Python and the Django framework. It uses machine learning to suggest movies based on user interest. The web interface is simple and easy to use.
It’s a good project for students or anyone who wants to learn how movie suggestion systems work using ML.
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Project Summary
Attribute | Description |
---|---|
Project Name | Movie Recommendation System |
Language/s Used | Python, HTML, CSS, JavaScript |
Framework | Django |
Database | SQLite3 |
Type | Web Application |
Developer | UPDATEGADH |
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 likelogo.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 configrecommender/
— Contains core logic for recommendation, views, and URLsdb.sqlite3
— Preconfigured SQLite databasestatic/
— Frontend styling and static assetstemplates/
— HTML templates used in rendering pagesrequirements.txt
— All Python dependencies for easy setupmanage.py
— Django management script
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