Itch Detection App for iOS/Apple Watch
Budget: £500 – £700 GBP
Here are the full detailed requirements for the project:
**Platform:**
* iOS + Apple Watch (watchOS) only
* No Android version required
**Project Overview:**
I want to build a fully functional Apple Watch + iPhone app that can detect scratching/itching behavior using motion data from the Apple Watch. The Watch should handle real-time detection, and the iPhone app should display insights, history, and related health data.
**Very Important:**
This project must include a **machine learning model** for scratch/itch detection. I do not want just a basic rule-based prototype. A heuristic version can be used only as an early testing step, but the final product must include a proper ML-based detection system.
**Apple Watch App Requirements:**
* Motion data collection using Apple Watch sensors:
* Accelerometer
* Gyroscope
* Real-time scratch/itch detection on the watch
* Haptic feedback when scratching is detected
* Notifications/alerts when needed
* Efficient battery usage
* Sync events and relevant data to the iPhone app
* Smooth communication with iPhone using WatchConnectivity
**iPhone App Requirements:**
* Clean, modern, production-quality UI
* Built in SwiftUI
* Dashboard showing:
* Detected scratching events
* Daily / weekly / monthly trends
* Event history
* User feedback flow so I can confirm whether detections were correct
* Data storage and syncing
* Settings and controls for notifications and app behavior
**Machine Learning Requirements:**
* A real ML model must be developed for detecting scratching behavior
* The model should use Apple Watch motion data as the main input
* The system should be structured so the model can improve over time with more labeled data
* Core ML integration is preferred for on-device inference
* I want the developer to explain:
* how training data will be collected
* how the model will be trained
* how it will be tested for accuracy
* how false positives will be reduced
* The final implementation should be designed for real-world usage, not just demo/testing
**Health Integration (Apple Health / HealthKit):**
The app should integrate with Apple Health and gather/display:
* Sleep data
* Heart rate / pulse
* Temperature, if available from the device/data source
* Exercise / activity / fitness data
This should work as part of a complete health and wellness tracking experience.
**Design / UX Expectations:**
* Clean, polished, modern UI
* Similar quality level to Apple Health / Apple Fitness type apps
* Not a rough prototype
* Should feel like a real consumer app that can be published
**Important Requirement for Developer:**
You must have your **own Apple Watch** for proper development and real-device testing.
This project cannot be done properly using simulator only, because the scratch detection depends on live sensor data from the watch.
**Performance Requirements:**
* Real-time detection should work reliably
* ML model should be optimized for watch/iPhone performance
* Battery usage should be carefully considered
* False positives should be minimized as much as possible
* Watch and iPhone syncing should be stable
**End Goal:**
The final goal is a **fully developed, polished, App Store-ready product** that:
* Detects scratching/itching with a machine learning model
* Works reliably in real-world conditions
* Includes haptic feedback and notifications
* Tracks and displays sleep / pulse / temperature / heart rate / exercise / fitness data
* Has a clean, modern, fully finished UI
* Feels like a complete health/wellness app that can be downloaded from the Apple App Store
**Deliverables:**
* Full source code
* Apple Watch app
* iPhone app
* Integrated ML model
* HealthKit integration
* App Store-ready build
* Support for testing and bug fixes
**What I Need From You:**
* Confirmation that you own an Apple Watch
* Your proposed ML approach for scratch detection
* How you will handle training data and model accuracy
* Timeline
* Total cost
* Examples of relevant Apple Watch / iOS / ML / health apps you have built
I do not have final mockups yet, but I want a clean Apple-style health app design. You can also send sample UI references or similar app examples if you have them.
Please send me:
1. your total price
2. estimated timeline
3. your ML approach
4. whether you have your own Apple Watch
5. examples of similar work
**Platform:**
* iOS + Apple Watch (watchOS) only
* No Android version required
**Project Overview:**
I want to build a fully functional Apple Watch + iPhone app that can detect scratching/itching behavior using motion data from the Apple Watch. The Watch should handle real-time detection, and the iPhone app should display insights, history, and related health data.
**Very Important:**
This project must include a **machine learning model** for scratch/itch detection. I do not want just a basic rule-based prototype. A heuristic version can be used only as an early testing step, but the final product must include a proper ML-based detection system.
**Apple Watch App Requirements:**
* Motion data collection using Apple Watch sensors:
* Accelerometer
* Gyroscope
* Real-time scratch/itch detection on the watch
* Haptic feedback when scratching is detected
* Notifications/alerts when needed
* Efficient battery usage
* Sync events and relevant data to the iPhone app
* Smooth communication with iPhone using WatchConnectivity
**iPhone App Requirements:**
* Clean, modern, production-quality UI
* Built in SwiftUI
* Dashboard showing:
* Detected scratching events
* Daily / weekly / monthly trends
* Event history
* User feedback flow so I can confirm whether detections were correct
* Data storage and syncing
* Settings and controls for notifications and app behavior
**Machine Learning Requirements:**
* A real ML model must be developed for detecting scratching behavior
* The model should use Apple Watch motion data as the main input
* The system should be structured so the model can improve over time with more labeled data
* Core ML integration is preferred for on-device inference
* I want the developer to explain:
* how training data will be collected
* how the model will be trained
* how it will be tested for accuracy
* how false positives will be reduced
* The final implementation should be designed for real-world usage, not just demo/testing
**Health Integration (Apple Health / HealthKit):**
The app should integrate with Apple Health and gather/display:
* Sleep data
* Heart rate / pulse
* Temperature, if available from the device/data source
* Exercise / activity / fitness data
This should work as part of a complete health and wellness tracking experience.
**Design / UX Expectations:**
* Clean, polished, modern UI
* Similar quality level to Apple Health / Apple Fitness type apps
* Not a rough prototype
* Should feel like a real consumer app that can be published
**Important Requirement for Developer:**
You must have your **own Apple Watch** for proper development and real-device testing.
This project cannot be done properly using simulator only, because the scratch detection depends on live sensor data from the watch.
**Performance Requirements:**
* Real-time detection should work reliably
* ML model should be optimized for watch/iPhone performance
* Battery usage should be carefully considered
* False positives should be minimized as much as possible
* Watch and iPhone syncing should be stable
**End Goal:**
The final goal is a **fully developed, polished, App Store-ready product** that:
* Detects scratching/itching with a machine learning model
* Works reliably in real-world conditions
* Includes haptic feedback and notifications
* Tracks and displays sleep / pulse / temperature / heart rate / exercise / fitness data
* Has a clean, modern, fully finished UI
* Feels like a complete health/wellness app that can be downloaded from the Apple App Store
**Deliverables:**
* Full source code
* Apple Watch app
* iPhone app
* Integrated ML model
* HealthKit integration
* App Store-ready build
* Support for testing and bug fixes
**What I Need From You:**
* Confirmation that you own an Apple Watch
* Your proposed ML approach for scratch detection
* How you will handle training data and model accuracy
* Timeline
* Total cost
* Examples of relevant Apple Watch / iOS / ML / health apps you have built
I do not have final mockups yet, but I want a clean Apple-style health app design. You can also send sample UI references or similar app examples if you have them.
Please send me:
1. your total price
2. estimated timeline
3. your ML approach
4. whether you have your own Apple Watch
5. examples of similar work