Inspiration
Every dentist runs into the same wall: a patient needs treatment, but they can't picture the result. "Trust me, it'll look great" only goes so far. We watched dentists lose cases not because the treatment was wrong, but because the patient couldn't see where they'd end up. We wanted to close that gap — to let a patient look in a mirror of their future smile before they ever say yes.
What it does
GenSmile is an AI smile-simulation and practice platform for dental clinics. A dentist takes or uploads a patient's photo, and in seconds GenSmile generates a realistic preview of their potential smile — alignment, whitening, gap closure, and more. Beyond simulations, it gives clinics the tools to actually run the workflow around them:
- AI smile simulations generated in seconds from a single photo
- Patient document & intake forms — customizable, printable, and fillable by the patient or the doctor
- Doctor-to-doctor sharing — send a case to a colleague via a secure, view-only link for a second opinion
- Practice tools — patient case management, multi-clinic and staff support, and subscription billing
How we built it
GenSmile is built on a modern web stack — Next.js (App Router), React, Tailwind CSS, deployed on Vercel. The AI simulations are generated through Google's AI image-generation service, with image processing handled on our own cloud infrastructure on AWS. Billing and subscriptions run through Stripe, and the product ships as both a web platform and a native iOS app.
Privacy was a first-class design constraint, not an afterthought: simulation images are processed in real time and not retained, and every flow where a photo is sent for processing asks the user's explicit consent first.
Challenges we ran into
The hardest problems weren't the AI — they were the realities of shipping a health-adjacent product. Handling sensitive facial and patient data responsibly meant building explicit consent into the app and being precise about what we store and share. Getting the native app through strict app-store review pushed us to tighten our privacy disclosures, our purchase flows, and our data handling until they were genuinely airtight. And designing an interface a busy dentist could actually use mid-consultation forced a relentless focus on speed and simplicity.
What we learned
That trust is the product. In dentistry, a tool is only adopted if the clinician trusts it with their patients and their reputation — so transparency, consent, and reliability mattered as much as the AI itself. We also learned how much friction a single clear visual can remove from a conversation.
What's next for GenSmile
Deeper clinical integrations, richer treatment-specific simulations, expanded doctor-to-doctor collaboration, and bringing GenSmile to more clinics worldwide — so every patient can see their smile before they commit to it.
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Email - [email protected] Pass - mahamudul.tanvirr@
Built With
- amazon-web-services
- google-ai
- next.js
- node.js
- react
- stripe
- swift
- tailwindcss
- typescript
- vercel
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