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RunHunter

Apps for iOS (iPhone and iPad) — incorrectly specified categories?

603 USD

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Technical task for iOS developer: RunHunter

1. What is the technology stack and system requirements?

Platform: Native iOS (iOS 17+) + watchOS (watchOS 10+).
Language: Swift 6 / SwiftUI.
Database / Local storage: SwiftData (or CoreData) for caching macronutrients, supplements, weight history, and HealthKit data.
Architecture: MVVM (Model-View-ViewModel).

2. How is the work with HealthKit and Apple Watch organized?

Passive background reading (Background Sync):
- Nightly HRV (SDNN), Resting Heart Rate (RHR), sleep phases (Deep/REM) — for calculating CNS index (0–100%).
- Activity (100% auto-fetch from Apple Watch): Steps, active calories (Active Energy Burned), and recorded workouts (Workouts).
Calorie synchronization: Dynamic recalculation of daily calorie cap (BMR+Active Burned±CNS Factor).
watchOS App & Complications: Widget on the watch face (HRV status + Streak) and a compact app on the watch for viewing and quick entry of weight/supplement notes.

3. How does the AI Vision module (Food Recognition) work?

API: Integration with Gemini 1.5 Flash API (or OpenAI Vision API as a backup).
Prompts and format: API request returns strict JSON structure:
- Dish name.
- Array of ingredients with weight in grams.
- Total calories, proteins, fats, carbohydrates.
Smart Auto-Save UX: Result card with a 5-second countdown timer. If the user does not cancel the action — the entry automatically saves to the local database and HealthKit.

4. How is the Supplements & Meds module structured?

Local catalog: Ability to add supplements (Name, dosage, time category: Morning / Pre-workout / Post / Night).
Calorie consideration: If the supplement has macronutrients (protein, gainer, BCAA), when checked [✓] its calories and proteins automatically add to the daily calorie count.
1-Tap Check-in: One-click intake marking on Dashboard, from Apple Watch or via interactive Push.

5. How is weight and trend processed?

HealthKit Sync: Automatic weight import from smart scales via Apple Health.
Moving Average Trend: Smoothing algorithm over 7–14 days to display the real fat trend without considering daily water fluctuations.

6. What is the gamification model (Streak Engine)?

Streak conditions: Streak is counted when performing 2 actions: morning CNS review + marking at least one meal/supplement intake.
Streak Freeze (Burnout Protection): When CNS state is low (<45%) the streak automatically freezes for 1 day without penalty, sending a notification.

7. What are the monetization requirements (In-App Purchases)?

Integration with StoreKit 2 / RevenueCat:
- Implementation of Paywall with support for a 7-day free trial (Free Trial).
- Rates: Monthly ($8.99), Yearly ($49.99), Lifetime ($119.99).

8. What are the development stages (Milestones) and timelines?

The project is divided into 4 fixed stages (total duration: 1.5–2 months):

Milestone 1: HealthKit Sync (HRV, Activity, Weight) + SwiftData model + CNS calculation.
Milestone 2: Integration of Gemini 1.5 Flash API (Camera, JSON parsing, auto-saving) + Supplements module.
Milestone 3: UI layout based on ready Figma designs (Dashboard, Activity, Supplements) + watchOS App.
Milestone 4: Integration of RevenueCat (Paywall), TestFlight testing, bug fixing, and release in App Store.

9. How will testing and acceptance of work be conducted?

TestFlight: All intermediate builds are provided to the client via Apple TestFlight for testing on real devices (iPhone + Apple Watch).
Payment: Funds for each Milestone are transferred only after personal verification of functionality by the client on their own device.

Proposals 6

Please select

Oleg Grigoryev

Winning proposal

32 0

Budget: 27000 UAH Deadline: 7 days

For the budget - 27,000 UAH is reasonable to allocate as the first stage of design and technical prototyping. The full implementation of the entire RunHunter with iOS, watchOS, HealthKit, AI Vision, push notifications, widgets, and stable synchronization logic will be significantly more expensive.

I would start not with writing screens, but with checking the architecture - HealthKit permissions, background synchronization, SwiftData or CoreData data model, the scheme for recording calories in HealthKit, limitations of watchOS complications, and strict JSON format for AI Vision. The nuance here is that the riskiest areas are precisely the synchronization with Apple Health, background operation, and the accuracy of AI food recognition, not SwiftUI itself.

> In 7 days we can deliver
> technical architecture of the MVP
> prototype of the main iOS screens
> verification of HealthKit and Apple Watch scenarios
> scheme of the local database
> decomposition of the full development with a realistic estimate

Questions regarding the specifications
> Should AI Vision work only with food photos or also with text input of dishes?
> Should calorie data be stored only locally and in HealthKit, or is server synchronization between devices also needed?

Similar types of task cases
> https://business.ingello.com/lita - medical system with personal accounts and data logic
> https://business.ingello.com/rapport - healthtech direction, where correct handling of personal data is important
> https://business.ingello.com/vorfahr - AI and automation of business logic, close to the recognition module

Ingello profile for the marketplace - https://systems-fl.ingello.com/ua

We can keep it simple - first, we address architectural risks, then we scale the development without rewriting half of the application =/

Similar project: Рефаткоринг приложения

Olena Vikhrova

0 0

Projects -
Rating -
Rating 207

Budget: 27000 UAH Deadline: 48 days

Hello! I carefully studied the technical specifications and architectural requirements for RunHunter. The project is excellent, the stack is modern and clean — I am ready to take it on and successfully implement it across all 4 milestones.

Why I am suitable for this task:

Stack and architecture: I have a strong command of Swift 6, SwiftUI, and the MVVM architecture. I have experience working with SwiftData / CoreData for reliable local caching.

Apple ecosystem: I have a deep understanding of working with HealthKit (passive background sync of HRV, RHR, sleep phases, steps, workouts, and weight) and know how to properly design interfaces for iOS + watchOS (including complications).

AI Vision: I successfully integrated the Gemini Flash API for fast image recognition with parsing into strict JSON and implementing a convenient UX (Smart Auto-Save with a timer).

Monetization: I set up subscriptions and paywalls through RevenueCat / StoreKit 2.

How we will work:
Strictly according to your stages (Milestones 1–4). I will promptly build and deliver each intermediate build via TestFlight for your personal review on real devices before closing payment.

I am ready to discuss the details and start the first stage today. Let’s create a cool and stable product!

Ganna K.

1 0

Projects -
Rating -
Rating 556

Budget: 27000 UAH Deadline: 30 days

Good day, Serhiy.

I can take on such a project. I have worked with Swift, HealthKit, API integrations, and subscriptions, so the overall architecture and logic are clear to me.

The technical specification is quite detailed, which is a big plus. The only thing is, before starting, I would like to clarify a few points regarding AI Vision and the calculation of the CNS index, so that I can lay down the correct logic from the outset.

I suggest working in stages, as you described, with TestFlight after each milestone (upfront). This is the most convenient option for both testing and further development.

If the project is still relevant, let’s discuss the details, timelines, and budget.

Bohdan Tereshchenko

1 0

Projects -
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Rating 496

Budget: 27000 UAH Deadline: 3 days

The technical specification combines several modules: HealthKit synchronization with Apple Watch, AI Vision food recognition through Gemini 1.5 Flash with strict JSON, and Streak Engine with burnout protection.

I will implement it using SwiftData under MVVM: first, core HealthKit sync (HRV, RHR, sleep, steps), then AI Vision with an auto-save timer of 5 seconds, and finally dietary supplements with an auto-summary of macronutrients.

Question: is the entire stack needed at once, including the watchOS app, or can we agree on the first phase for 3 days focusing on core functionality?

Ihor Viieru

0 0

Projects -
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Rating 296

Budget: 27000 UAH Deadline: 4 days

I will implement HealthKit and watchOS synchronization, SwiftData under macronutrients, dietary supplements, and weight using Swift 6/SwiftUI, MVVM.

I will perform background reading of HRV/RHR/sleep for the CNS index, automatic fetching of steps and calories from the Watch. Additionally, AI Vision on Gemini 1.5 Flash with strict JSON response and 5-second auto-saving of records, plus 1-tap check-in for dietary supplements.

I am ready to deliver in 4 days.

Maksym Potashov

6 2

Budget: 27000 UAH Deadline: 30 days

Sergiy, I see that the task involves building an ecosystem around HealthKit for accurate CNS analysis and dynamic calorie planning. The main challenge here is ensuring continuous synchronization with HealthKit in the background without quickly draining the watch's battery. I suggest implementing the HealthKit module via HKObserverQuery for background updates and building a reliable data processing service on SwiftData that correctly integrates AI Vision for calculating macronutrients. How do you plan to address the issue of the watch's energy consumption with frequent background data readings, and is there already a ready API for the food recognition module that will need to be interacted with?

Serhii Bentsa
Kyiv, Ukraine

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Rating -
Rating 102