elimu-ai/ml-storybook-recommender

🤖📚 Machine learning model which predicts the likability of unread storybooks based on a child's previously read storybooks.

PythonMIT

ml-storybooks-recommender 🤖📚

Machine learning model which predicts the rating of unread storybooks based on the student's previously read storybooks.

One model will be trained per language.

1. Prepare the Data

To prepare the data, follow these steps:

Open prepare_data.py and select environment and language.
Go to the website corresponding to the chosen environment and language, e.g. https://eng.test.elimu.ai.
Download storybooks.csv from https://eng.test.elimu.ai/content/storybook/list.
Download storybook-learning-events.csv from https://eng.test.elimu.ai/analytics/storybook-learning-event/list.
Add the two datasets to RAW_DATA_DIR.
Execute the script: python prepare_data.py

2. Train the Model

TODO

3. Make Predictions on New Samples

TODO

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