Gemini AI Classroom Assistant by Cyrus Wong & Alex Chang

A next-generation classroom assistant designed to proactively support students during computer-based tests. Built entirely on Google Cloud and Firebase, this project uses the Gemini AI model not just to detect issues, but to prevent them by providing gentle, real-time guidance to students. Instead of being a simple proctoring tool, the AI acts as a Proactive Proctor, a Technical Support Assistant, and a Wellness Coach, creating a more supportive and effective testing environment. Powered by Google Technologies This project is a showcase of modern, scalable, and intelligent application development using a suite of powerful Google technologies: - Vertex AI: The core AI capabilities are powered by the Gemini Pro model, enabling sophisticated analysis of student activity. Firebase: The entire backend and application infrastructure is built on Firebase. - Firebase Authentication: For secure and easy user sign-in. - Firestore: A scalable NoSQL database for all application data. - Cloud Storage for Firebase: To store all student-generated media like screenshots and videos. - Cloud Functions for Firebase: For all serverless backend logic, from data processing to AI triggers. - Firebase Hosting: To deploy and host the web application globally. - Genkit: The AI flows are developed using Genkit, an open-source framework from Google that helps developers build, deploy, and monitor production-ready AI-powered features. - Google Cloud Scheduler: To run scheduled tasks for maintenance and automated class management.

  / cyruswong  

#gemini #geminicli #GDGcloudhk #devfest #GDE #cyruswong