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AI - Face Recognition & Engagement Tracking

Cloudiasys

StageSur site4 à 6 moisDate limite : 2 janv. 2026
NLP / Computer VisionCloud & Real-Time SystemsGaze trackingWebRTCData Privacy & ComplianceSystèmes embarqués / Edge AI

Postuler

Description

What: Use webcam to detect if a student is paying attention, looking away, or distracted. Pause lesson when student leaves. Track attention patterns.

Tech stack:

  • OpenCV for computer vision
  • MediaPipe Face Mesh for face detection & gaze tracking
  • WebRTC for real-time video streaming
  • FastAPI + WebSocket to stream engagement metrics
  • LangGraph for adaptive pause/resume logic
  • Redis for real-time state management
  • Streamlit for teacher dashboard

Key skills: Computer vision, real-time systems, privacy-aware design, WebSocket


📧 Pour postuler: contact@cloudiasys.com