MOVIE RECOMMENDATION USING FLASK

Project Overview

This end-to-end project involves the following stages:

• Data Collection: Gathering data from various sources including titles, overviews, genre.
• Data Processing: Cleaning and preprocessing the data to make it suitable for analysis.
• Model Training: Using Tf-Idf vectorizer and Cosine Similarity.

Installation

To set up the project locally, follow these steps:

1. Clone the repository:

   git clone https://github.com/susil-123/Movie-Recommendation-using-Flask.git
   cd Movie-Recommendation-using-Flask
   

2. Create virtual enviroinment:

   conda create -p venv python==3.8
   conda activate venv
   

3. Install requirements:

   pip install -r requirements.txt
   

4. Run the application:

   python app.py