AI Emotion Detector MVP Development
Description
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) • 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 • Build a simple dashboard (Streamlit or Flask) • Add alert logic (e.g. repeated negative emotion → warning)
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Required Skills • NVIDIA Jetson (VERY IMPORTANT) • Real-time video processing • Linux / Ubuntu
Bonus: • GStreamer / DeepStream experience
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Deliverables • Installation/setup guide • 1–2 hour handover call • 2 weeks bug-fix support
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Budget
Fixed price with milestones (to be agreed)
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To Apply
Please include:
- Examples of NVIDIA Jetson or computer vision projects
- GitHub / portfolio
- Short explanation of how you would approach this project
- Estimated timeline
- Confirmation you can work milestone-by-milestone
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IMPORTANT: Do not apply if you do not have real experience with Jetson or real-time video processing. Budget: INR 37500–75000 Skills: Python, Linux, Software Architecture, Arduino, OpenCV, AI (Artificial Intelligence) HW/SW, Computer Vision, AI Model Development, AI Development
Skills
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