Smylr Bleaching Track
Budget: €750 – €1,500 EUR
? PROJECT: Development of Smylr Platform (Mobile App + Web) for AI-Based Tooth Color Tracking
Project Name: Smylr
Platforms: iOS, Android & Web
Type: Full mobile & web app development with backend and analytics
Initial Language: English
? Project Overview
We are looking for a full-stack developer or development team with experience in mobile apps, computer vision, and backend infrastructure to build Smylr — a smart platform for dental professionals and patients. The app will track the evolution of tooth color during whitening treatments using smartphone cameras and AI.
You are free to choose the tech stack (Flutter, React Native, native, etc.), as long as the final MVP is functional, clean, and scalable.
? Required Mobile Apps
We need four mobile apps:
Smylr Pro – iOS
Smylr Pro – Android
Smylr Patient – iOS
Smylr Patient – Android
Pro App:
Add and manage patients.
Register whitening products and brands used.
Specify protocol (in-office, at-home, or mixed).
View full history of each patient.
See advanced shade analysis (AE scale).
Access custom stats.
Patient App:
Take guided photos with a built-in alignment overlay.
View personal whitening progress (simplified view).
See basic AE-based tooth color info.
Report tooth sensitivity using:
A scale from 1 to 5.
A dropdown to select when sensitivity occurs (e.g., cold drinks, brushing, air, etc.).
? All data entered by patients will be stored under their assigned dental professional’s database.
? The company will use all data anonymously and in aggregate form for big data analysis and product improvement.
?️ Web Platform
A responsive web platform is also required with:
Admin dashboard (for our team).
Pro dashboard (to manage patients, stats, treatments).
Optional patient access.
Data visualization and analytics module (big data level).
✅ MVP Key Features
? Tooth photo capture with alignment overlay for consistent input.
? Tooth color detection via AI, using an API we provide.
? AE scale shade display:
Basic for patients.
Advanced technical format for professionals.
? Comparison of images over time to show progress.
? Simple, intuitive visuals for treatment evolution.
?⚕️ Patient registration done only by the dental professional, including:
Type of treatment.
Brands/products used.
Protocol (in-office, at-home, or both).
? Statistics:
Per patient
Per professional
Company-level anonymized big data
?️ Sensitivity feedback by the patient:
Scale 1 to 5
Dropdown: when it occurs (cold drinks, brushing, air, etc.)
? Interface in English only (for now).
☁️ Secure storage (cloud-based, GDPR compliant).
?️ Technical Requirements
Open stack: Flutter, React Native, Swift/Kotlin, etc.
Web frontend in React, Vue, or similar.
Backend with secure REST or GraphQL API.
Database structured by professional, patients, treatments, photos and results.
Integration with our AI model (we provide API access).
Clean, modular, and well-documented code.
? Deliverables
4 mobile apps ready to publish (MVP version).
Web dashboard for admins and professionals.
Backend and database setup.
Photo overlay tool for proper alignment.
AE shade display for both user types.
Sensitivity reporting tool (scale + dropdown).
Database organized by professional, with global anonymized data for company use.
Technical documentation and setup guide.
At least 1 month of post-delivery support for fixes.
? Please include in your proposal:
Short personal or team introduction.
Relevant experience or portfolio examples.
Suggested tech stack for this project.
Estimated development timeline.
Project Name: Smylr
Platforms: iOS, Android & Web
Type: Full mobile & web app development with backend and analytics
Initial Language: English
? Project Overview
We are looking for a full-stack developer or development team with experience in mobile apps, computer vision, and backend infrastructure to build Smylr — a smart platform for dental professionals and patients. The app will track the evolution of tooth color during whitening treatments using smartphone cameras and AI.
You are free to choose the tech stack (Flutter, React Native, native, etc.), as long as the final MVP is functional, clean, and scalable.
? Required Mobile Apps
We need four mobile apps:
Smylr Pro – iOS
Smylr Pro – Android
Smylr Patient – iOS
Smylr Patient – Android
Pro App:
Add and manage patients.
Register whitening products and brands used.
Specify protocol (in-office, at-home, or mixed).
View full history of each patient.
See advanced shade analysis (AE scale).
Access custom stats.
Patient App:
Take guided photos with a built-in alignment overlay.
View personal whitening progress (simplified view).
See basic AE-based tooth color info.
Report tooth sensitivity using:
A scale from 1 to 5.
A dropdown to select when sensitivity occurs (e.g., cold drinks, brushing, air, etc.).
? All data entered by patients will be stored under their assigned dental professional’s database.
? The company will use all data anonymously and in aggregate form for big data analysis and product improvement.
?️ Web Platform
A responsive web platform is also required with:
Admin dashboard (for our team).
Pro dashboard (to manage patients, stats, treatments).
Optional patient access.
Data visualization and analytics module (big data level).
✅ MVP Key Features
? Tooth photo capture with alignment overlay for consistent input.
? Tooth color detection via AI, using an API we provide.
? AE scale shade display:
Basic for patients.
Advanced technical format for professionals.
? Comparison of images over time to show progress.
? Simple, intuitive visuals for treatment evolution.
?⚕️ Patient registration done only by the dental professional, including:
Type of treatment.
Brands/products used.
Protocol (in-office, at-home, or both).
? Statistics:
Per patient
Per professional
Company-level anonymized big data
?️ Sensitivity feedback by the patient:
Scale 1 to 5
Dropdown: when it occurs (cold drinks, brushing, air, etc.)
? Interface in English only (for now).
☁️ Secure storage (cloud-based, GDPR compliant).
?️ Technical Requirements
Open stack: Flutter, React Native, Swift/Kotlin, etc.
Web frontend in React, Vue, or similar.
Backend with secure REST or GraphQL API.
Database structured by professional, patients, treatments, photos and results.
Integration with our AI model (we provide API access).
Clean, modular, and well-documented code.
? Deliverables
4 mobile apps ready to publish (MVP version).
Web dashboard for admins and professionals.
Backend and database setup.
Photo overlay tool for proper alignment.
AE shade display for both user types.
Sensitivity reporting tool (scale + dropdown).
Database organized by professional, with global anonymized data for company use.
Technical documentation and setup guide.
At least 1 month of post-delivery support for fixes.
? Please include in your proposal:
Short personal or team introduction.
Relevant experience or portfolio examples.
Suggested tech stack for this project.
Estimated development timeline.