MindMate

Chatbot for self reflections created as part of a semester project in the ML4ED lab at EPFL

Table of Contents

• Frontend
• Backend
• Installation
• Usage
• Contributing
• License

Frontend

Present in the MindMate_frontend folder.

Main components:

These are the main files that define the functionality of MindMate

• MainFrameDe.js and MainFrameEn.js: They contain the javascript code for the German and English versions respectively.
• MindMateEn.js: It contains the javascript code of the functions used to update the frontend components
• epfl.css, normalize.css, style.css: They contain the style definitions for all the frontend classes/componenrs

Usage:

Run the following command inside the MindMate_frontend folder:

npm install
npm start

Note: Does not work on Safari

Backend

Present in the MindMate_backend folder.

Main components:

• app.py: Main class of the Flask application
• chatomatic.py: Contains the dialog generation function
• dateTime.py: Handles the date and time generation
• EvaluationHandler.py: Contains the feedback generation functions

Usage:

Run the following command inside the MindMate_backend folder: Create a new python environment:

python -m venv <env_name>
source <env_name>/bin/activate

Start the server:

python requirements installer.py
python app.py

Note: the requirements can be installed only the first time, then the created environment is re-used in the future-

Reference

The code is inspired from the ArgueTutor project.

Contact

• Hind El Bouchrifi