If you discover any security vulnerabilities in the Classroom AI Assistant, please report them responsibly by opening an issue with a [SECURITY] prefix or contacting the maintainer at GitHub Issues.

Avoid sharing sensitive exploit details publicly.

This project is locally hosted and does not use external LLM APIs.
Security efforts focus on:

• Preventing unauthorized access to real-time WebSocket sessions
• Ensuring proper isolation between user sessions and emotion data
• Safeguarding locally stored model weights and response pipelines

• Validate all user inputs to prevent injection attacks
• Use HTTPS when deploying externally
• Keep dependencies up-to-date and audit frequently
• Avoid exposing internal error logs in production responses

We welcome security feedback and aim to make the system safer for future classroom deployments. Thank you for helping us build responsibly. 💙