AiExamteeth

Inspiration

Access to dental care is often expensive, confusing, and hard to navigate. Many patients avoid treatment because they don’t understand their X-rays, can’t estimate costs, or don’t know if they can afford care. We wanted to use AI to make dentistry more transparent, educational, and affordable.

What it does

AiExamteeth lets doctors upload X-rays, automatically detects cavities, and generates a clean patient report. Patients receive a personalized portal where AI explains their results, shows cost estimates with insurance, and provides options to book with other doctors if pricing is too high. The goal: empower patients with clarity and choice.

How we built it

We built a Flask web app with two portals:

🏥 Doctor Dashboard for uploading X-rays, entering patient info, and sharing secure links.
👤 Patient Portal with AI-powered explanations, insurance-based pricing, and appointment booking.

We used YOLOv8 for cavity detection (with mock fallback), Flask for backend, HTML/CSS/JS for UI, and OpenAI API for educational responses. Mock insurance and provider data simulate real workflows.

Challenges we ran into

Training YOLO on limited dental X-ray images.
Ensuring the patient-facing portal explained results in clear, non-technical language.
Balancing speed of development with hackathon time limits while still making the app feel professional.

Accomplishments that we're proud of

Built a working end-to-end system: doctor upload → AI detection → patient portal → cost estimates → appointment booking.
Designed a professional UI with a clean medical theme.
Created a demo-ready app that feels both innovative and practical.

What we learned

We learned how to quickly integrate AI/ML into real healthcare workflows, design user-centric portals, and balance technical goals with patient accessibility. We also deepened our skills in Flask, YOLO, OpenAI APIs, and UI/UX for healthcare apps.