Wiki Learn
2019
Using a custom built recommender system and machine learning models, users can easily parse the vast amounts of instructional data on the web and create interactive curricula.
Technologies
- Python
- Scikit-Learn
- Flask
- Google Cloud
- React + Netlify
Features
- Takes any Wikipedia article and finds the most related and relevant topics to that entry point
- From the list of calculated recommendations, uses a Random Forest ML model to predict whether a topic should be learned before or after the user specified article
- A back end Flask app is deployed on Google Cloud, and a front end React UI is available so anyone can use the curriculum developer