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Movie Recommendation System with Real-time Search (Content-Based) Welcome to the Content-Based Movie Recommendation System project! This recommendation system is designed to provide personalized movie suggestions based on a dataset of 50,000 movies. The system is equipped with a user-friendly GUI for a seamless experience. Features: Content-Based

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#MovieWorld

##Movie Recommendation SPA System with Real-time Search (Content-Based)

Welcome to the Content-Based Movie Recommendation System project! This recommendation system is designed to provide personalized movie suggestions based on a dataset of 50,000 movies. The system is equipped with a user-friendly GUI for a seamless experience.

FEATURES: Content-Based Recommendations: Utilizing content-based filtering, the system recommends movies based on the user's historical preferences and characteristics of the movies they have enjoyed.

Real-time Search Functionality: Experience fast and dynamic searching capabilities. The system allows users to search for movies in real-time, providing instant results as you type.

Genre and Ratings Lists: Easily explore movies by genre or ratings. The system offers curated lists for various genres, helping users discover new and exciting films tailored to their preferences.

Detailed Movie Information: Get comprehensive information about each movie, including details about the cast, crew, release date, and user ratings.

TECHNOLOGIES USED:

Python, Django, HTMX, CSS, Pandas, NumPy, Scikit-Learn, Joblib, Pyarrow-feather, Spacy

INSTRUCTIONS: ----------------------------------------------------------------------------

1- Download the zip and extract the folder

2- Open the folder and right click and open terminal there as administartor

3- There is a txt file called requirements.txt

4- Then run pip install -r requirements.txt

5- In the folder there is a file called manage.py

6- Run python manage.py runserver 8080

7- Goto http://127.0.0.1:8080/ in browser

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Movie Recommendation System with Real-time Search (Content-Based) Welcome to the Content-Based Movie Recommendation System project! This recommendation system is designed to provide personalized movie suggestions based on a dataset of 50,000 movies. The system is equipped with a user-friendly GUI for a seamless experience. Features: Content-Based

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