sanchit2521/e-learning-courses-reviews-analysis

Course Recommendation System

Overview

This is a course recommendation system that suggests relevant courses based on user input, either a course name or a skill. It uses a combination of cosine similarity and user ratings to provide accurate recommendations.

Features

• Allows users to input either a course name or a skill.
• Recommends relevant courses based on the input.
• Utilizes cosine similarity and user ratings to improve recommendation accuracy.
• Displays recommendations as cards, making it easy for users to navigate.

Technologies Used

• Flask: Python web framework for building the backend server.
• Pandas: Python library for data manipulation and analysis.
• Scikit-learn: Python library for machine learning tasks.
• Bootstrap: Frontend framework for designing responsive and mobile-first websites.
• jQuery: JavaScript library for simplifying client-side scripting.
• HTML/CSS: Markup and styling languages for building web pages.

Usage

1. Clone the repository to your local machine.
2. Run the Flask application using python app.py.
3. Access the application in your web browser at http://localhost:5000.

Contributing

Contributions are welcome! Feel free to fork the repository and submit pull requests to suggest improvements or add new features.