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ProjectsMovie Recommendation System
Movie Recommendation System - 1
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AI projects

Movie Recommendation System

ML-powered movie recommendation engine using collaborative filtering and content-based algorithms.

CSE5 Tech68 views4.8 (12 reviews)
Pythonscikit-learnReactTMDB APIFlask
₹1,499₹2,99950% OFF
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DescriptionFeaturesModulesFAQ

About This Project

A movie recommendation system that uses machine learning algorithms including collaborative filtering and content-based filtering to suggest movies based on user preferences. Built with Pytho

Software Details

Category
AI projects
Department
CSE
Demo
Available
Rating
4.8 (12 reviews)

Project Timeline

Published

23 May 2026

Students Enrolled

150

Rating

4.8 / 5.0 (12 reviews)

Chat on WhatsApp

Quick reply guaranteed

Chat Now+91 94802 02675

Key Features

Collaborative filtering
Content-based filtering
Personalized recommendations
Movie search
User ratings
Interactive movie cards
TMDB integration

Technologies Used

Pythonscikit-learnReactTMDB APIFlask

Project Modules

Data Collection

Complete data collection module with full implementation

Recommendation Engine

Complete recommendation engine module with full implementation

User Profiles

Complete user profiles module with full implementation

Movie Browser

Complete movie browser module with full implementation

Rating System

Complete rating system module with full implementation

System Requirements

OS

Windows / Linux / macOS

Processor

Intel i3 or higher

RAM

4GB minimum (8GB recommended)

Storage

500MB free space

Internet

Required for initial setup

Browser

Chrome / Firefox / Edge

Frequently Asked Questions

Which recommendation algorithm?

Both collaborative filtering and content-based filtering.

Where does movie data come from?

TMDB API for comprehensive movie information.

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