AI Emotion Detector MVP Development

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)

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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

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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

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Budget

Fixed price with milestones (to be agreed)

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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

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IMPORTANT:
Do not apply if you do not have real experience with Jetson or real-time video processing.