Course Recommender Web Application is an intelligent content-based recommendation system designed to suggest relevant Coursera courses based on course content similarity. The system analyzes course descriptions, topics, and tags for recommendations.
This project aims to provide a simple yet powerful recommendation algorithm that can be applied to any course catalog data. The recommender system can be customized and extended to suit specific needs in education or other domains where recommendations are needed.
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Clone the repository:
git clone https://github.com/bushraqurban/course-recommender-webapp.git
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Navigate to the project directory:
cd course-recommender-webapp -
Install dependencies:
pip install -r requirements.txt
Run the app locally:
python app.py Visit the app in your browser at http://localhost:3000.
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