AI Teacher Robot

Problem

Classroom support tasks such as attendance, repeated explanations, and student query handling can consume time that teachers need for instruction.

Solution

The teacher robot uses face recognition, speech-to-text, text-to-speech, and retrieval-augmented responses to support attendance and personalized learning assistance.

Timeline

Computer vision pipeline, FastAPI services, classroom dashboard, device integration.

Features

• Face recognition attendance workflow.
• Speech interaction through STT and TTS.
• Retrieval-Augmented Generation for learning support.
• Real-time classroom dashboard using WebSockets.

Challenges

• Coordinating camera, voice, and retrieval workflows in one assistant.
• Keeping real-time classroom updates responsive.
• Designing assistance that supports teachers rather than replacing instruction.

Results and signals

• Covers computer vision, speech systems, retrieval, and backend engineering.
• Built around practical classroom automation use cases.
• Demonstrates edge-device to backend integration.

Future roadmap

• Add teacher-controlled knowledge base updates.
• Improve classroom analytics and attendance export flows.
• Introduce evaluation for answer quality and recognition reliability.