Fixes in the Recommender System

README.md

@@ -1 +1,28 @@
-# Movie-Recommender-in-python
+# Movie Recommendation System
+
+## Overview
+This Movie Recommendation System is built in Python using content filtering techniques to recommend movies similar to those a user has already watched. It utilizes various libraries such as NumPy, Pandas, Matplotlib, Seaborn and FuzzyWuzzy, for data manipulation, analysis, and visualization.
+
+## Features
+- Recommends movies based on content filtering
+- Utilizes user ratings and movie metadata
+- Visualizes data using Matplotlib and Seaborn
+- Implements fuzzy matching for better movie title matching
+
+## Libraries Used
+- **NumPy**: For numerical operations and data manipulation.
+- **Pandas**: For handling and analyzing datasets.
+- **Matplotlib**: For plotting and visualizing data.
+- **Seaborn**: For enhanced data visualization.
+- **FuzzyWuzzy**: For string matching to improve movie title recommendations.
+
+## Datasets
+The program uses two datasets:
+1. **Ratings Dataset**: Contains columns `user_id`, `item_id`, `rating`, and `timestamp`. This dataset is used to track user preferences.
+2. **Movies Dataset**: Contains columns `item_id` and `title`. This dataset provides the titles of the movies to be recommended.
+
+## Installation
+To run this program, make sure you have Python installed, along with the required libraries. You can install the necessary libraries using pip:
+
+```bash
+pip install numpy pandas matplotlib seaborn fuzzywuzzy