AI Dental Diagnosis Mobile App

I am creating a cross-platform mobile application for dental clinics that will eventually cover diagnosis, appointment scheduling, and full patient records, but the first milestone is crystal-clear: deliver an AI-driven diagnostic module.

What I need right now
The app’s opening release must accept intra-oral photos (camera or gallery), run them through an on-device or cloud model, and return an accurate preliminary assessment. The specific conditions the model should detect—caries, periodontal issues, oral lesions, etc.—will be finalised together once we review the available training data and regulatory constraints. Accuracy, explainability, and HIPAA-level data handling are must-haves.

Look & feel
Every screen should follow a professional, modern aesthetic that reassures both dentists and patients. Clean typography, subtle colour palettes, and intuitive navigation are more important to me than playful graphics.

Preferred tech stack
I am open, but Flutter or React Native paired with a TensorFlow Lite / PyTorch Mobile backend makes sense for speed and future expansion; if you have a better suggestion, explain why. The code has to be modular so we can later drop in the appointment system and patient record modules without refactoring the core.

Deliverables for this milestone
1. Trained or transfer-learned model with documented dataset provenance
2. Mobile front-end that captures images, calls the model, and displays results clearly
3. Source code, build instructions, and a short video walkthrough

Acceptance criteria
• ≥90 % F1 score on a held-out validation set we agree on
• End-to-end inference <3 s on recent mid-range phones
• Smooth UI flow with zero crashes in QA

If this aligns with your skill set, let’s discuss the data pipeline and timeline so we can get the diagnostic MVP into dentists’ hands quickly.