Medical Image Analysis MVP in Python

Project: Medical AI MVP – Python Developer Needed

I’m looking for a Python developer to help build the first MVP of a medical image analysis app (NashMed).

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Scope of Work (Phase 1 MVP):
• User registration/login (via email or Google – Firebase preferred)
• Upload one medical image (X-ray, ECG, or blood test report)
• Send image to a pre-trained AI model (ONNX or PyTorch)
• Return basic diagnostic output + confidence score
• Display result to the user in a simple UI (preferably with Arabic language support)
• Store image + result in Firebase or similar (optional)
• Freemium logic: first 3 uploads free, then subscription required

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Ideal Skills & Experience:
• Proficient in Python and FastAPI
• Experience with Firebase (auth + storage)
• Familiarity with ONNX and PyTorch models
• Ability to implement basic UI (e.g., Flet, Streamlit, or Flutter)
• Background in freemium/paywall systems (a plus)
• Arabic interface experience (preferred but not required)

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Budget: $300 – $500
Deliverable: A functional MVP that can be tested with real images, not just mockups.

Please include examples of past work with Python + AI if available.