Description: I am building a working prototype called Neofocus — an AI-powered device that detects emotional states (e.g. stress, sadness) using a camera and NVIDIA Jetson. I have already purchased all hardware (Jetson + camera). I now need an experienced engineer to build a working MVP prototype. Scope of Work (Phase 1 MVP) • Set up NVIDIA Jetson environment • Connect and configure camera (USB/IP) • Implement real-time face detection • Integrate pre-trained emotion recognition model (no training required) • Display emotion + confidence score live • Log events with timestamps • Build a simple dashboard (Streamlit or Flask) • Add alert logic (e.g. repeated negative emotion → warning) ⸻ Required Skills • NVIDIA Jetson (VERY IMPORTANT) • Python • OpenCV • TensorFlow or PyTorch • Real-time video processing • Linux / Ubuntu • Flask or Streamlit Bonus: • GStreamer / DeepStream experience • Previous edge AI or surveillance projects ⸻ Deliverables • Fully working prototype on Jetson • Clean source code • Installation/setup guide • Demo video • Dashboard access • 1–2 hour handover call • 2 weeks bug-fix support ⸻ Budget Fixed price with milestones (to be agreed) ⸻ To Apply Please include: 1. Examples of NVIDIA Jetson or computer vision projects 2. GitHub / portfolio 3. Short explanation of how you would approach this project 4. Estimated timeline 5. Confirmation you can work milestone-by-milestone ⸻ IMPORTANT: Do not apply if you do not have real experience with Jetson or real-time video processing.