Mobile application (iOS and Android) for importing data from smartwatches.

Hello! I have extensive experience in the MedTech field. Recently, we launched the Doctor Plus app. You can download it:
IOS
https://apps.apple.com/ua/app/doctor-plus/id6757864697
Android
https://play.google.com/store/apps/details?id=com.kis.production.DOCTOR&pcampaignid=web_share

For your project, the ideal solution would be Flutter or React Native - one code for iOS/Android and native background synchronization with Apple HealthKit and Google Health Connect. For Garmin/Polar, we will connect their direct Cloud APIs. We will link the backend with the asynchronous OpenA API.

Timeline 5–7 weeks
… Budget $4,500–$5,500

Doctor Plus case: kisolid.com/uk/portfolio/doctor-plus-app-for-ios-and-android

I am ready to communicate and discuss in more detail!

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Hello!

Let's get straight to the point. The main challenge here is not the application itself, but the fact that there is no single import channel for all these watches. Apple Watch provides data only through HealthKit, Samsung through Health Connect, and Garmin and Huawei either provide incomplete data to these aggregators or none at all: they have their own cloud APIs, and some (for example, Garmin Health) are only available through partnership agreements, not independently.

Therefore, the optimal solution is hybrid: HealthKit + Health Connect as a base, plus direct server integrations with manufacturers where the aggregator falls short. The specific set depends on which models are a priority for you.

I would like to note separately: transferring health data to ChatGPT is a sensitive category (GDPR + App Store rules regarding HealthKit). This needs to be considered in the architecture before starting the code — data should be aggregated on the server, and user consent should be carefully planned.

I suggest starting with a short paid discovery: an integration matrix for each manufacturer (what is available, what accesses and approvals are needed, timelines, completeness of data), an architecture scheme, and a working PoC for synchronization. After that, we can provide an exact price for full development.
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Discovery: $1000–1500, 1–2 weeks. Full development — approximately starting from $15k, with the exact range determined after discovery (depends on the number of integrations and the volume of analytics).

I will provide details in a private message — please let me know which watch models are a priority and if there are any test devices on your side.

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Alexey, I wanted to clarify a couple of points. Which manufacturers of smartwatches and which health metrics (HRV, sleep, VO₂ Max, pulse, etc.) are mandatory for the MVP? And am I correct in understanding that the data should automatically sync with the server, and then be sent to ChatGPT for analysis?

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Hello!

Our team is ready to implement the project "turnkey" - from design to full development and launch. We have experienced developers, designers, and UX/UI specialists in the team, so we can create a convenient, modern, and functional product according to your requirements.

We will be able to determine the deadlines and budget accurately after discussing the details and understanding the full scope of work. I would appreciate your feedback; I can send examples of our work in private messages.

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The task is to collect health data from different watch ecosystems in one place and run it through GPT for personalized recommendations.

Architecturally, the key solution is: iOS reads through HealthKit, Android through Health Connect — this covers Apple Watch, Samsung, Fitbit, Polar without direct APIs. Garmin and Huawei provide their own SDKs/APIs, which I connect with a separate adapter. The stack is Flutter, using a single codebase to cover both platforms. Synchronization with the backend is done through a queue with idempotent records to ensure duplicates do not break the history. GPT integration: structured data over a period goes into the context, and the response is returned to the application.

The main risk: Huawei Health does not provide background access without their own HMS push — it is necessary to understand how critical this ecosystem is for your audience.

What is the priority by platforms for the target audience: more iOS/Apple Watch or Android, and is there already a backend or does it also need to be built from scratch?

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Synchronizing data from smartwatches is like a complex puzzle with moving parts. Each manufacturer uses its own API, and the data needs to be not just collected but also transformed into meaningful recommendations. While others offer a standard set of integrations, the key challenge here is adapting the analysis logic to different ecosystems. The technically optimal approach is to combine a REST service based on Flutter for cross-platform compatibility, embed a caching system to compensate for gaps in the data stream, and use an intermediate gateway to unify formats before passing them to ChatGPT. Without proper handling of differences in sensor update rates and timestamps, the analysis results will be distorted. Which specific metrics (HRV, VO₂ Max, etc.) require priority processing at the initial stage?

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Good day, Oleksiy
I have 10 years of experience in development, working with the tech stack on React Native (+TypeScript), React.js (Next/SSR +TypeScript), backend Node.js (Express/Nest) + MongoDB, Firebase + TS.

Feel free to write, I would be happy to collaborate.
Best regards, Oleksiy.

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Good afternoon, I am ready to do it. I have over 10 years of experience. Message me privately.

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Good day. I represent the web studio https://corecode.com.ua. We are ready to discuss the project and deadlines with you.

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Please let us know which watch brands and types of data are a priority for you at the start (sleep, heart rate, HRV, VO₂ Max, etc.)? Do you have a ready backend/database and Apple/Google/vendor accounts for official integrations?

We will build: a mobile client (React Native) with HealthKit/Health Connect and a backend on FastAPI + Postgres/Redis for collecting, normalizing, and automatically synchronizing history. 4 years with JS+Python: we have integrated external APIs, created custom dashboards and admin panels, set up OAuth, queues, and webhooks. We will add a layer for transferring aggregated data to ChatGPT and storing recommendations.

We are ready to start with a short Discovery: data schema, integration map, and POC synchronization. Is it convenient to talk tomorrow or the day after?

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The AI solution for importing medical data and analyzing recommendations is almost ready - it can be quickly adapted to your hours, server, and recommendation logic; we can discuss it here, I'm available ))

For the first stage, the target is 35,000 UAH and 10 working days.

I would start with technical design and integration checks because Garmin, Huawei, Samsung, Fitbit, and Polar offer different capabilities for background synchronization, while Apple Watch is usually better managed through HealthKit.

In the end, you will receive an optimal import scheme, a data source matrix, server database architecture, history storage rules, and a data transfer plan to ChatGPT for long-term analysis of sleep, recovery, training, VO2 Max, HRV, and health indicators.

Look, there's a nuance - for an accurate assessment, we need to understand if there is already a server database and user authorization.
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The second question - in the first stage, is only a document with architecture needed, or is a working prototype for importing at least from HealthKit and Health Connect also required?

Similar cases - https://business.ingello.com/lita - a medical digital system with user data and process logic.

Another close example - https://business.ingello.com/rapport - working with medical direction and data for analysis.

Indirectly related to AI and automation - https://business.ingello.com/fractal - an example of a complex system with agent logic.

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

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