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  • Rating 554

Budget: 27000 UAH Deadline: 70 days

I can help with the architecture development and application development for iOS and Android. Please let me know:
1. Is there already a server part and database, or do they also need to be developed?
2. Which watch brands are mandatory for the first stage?
3. What specific data needs to be synchronized in the MVP?
4. Is user registration, a personal account, and a history of metrics needed in the application?
5. Should ChatGPT only analyze data or also create training plans and recommendations?
6. Is a technical audit and prototype of integrations needed first, or is full MVP development required right away?

  • Projects 30
  • Rating 5.0
  • Rating 5 747

Budget: 27000 UAH Deadline: 10 days

In the first stage, I would not do a full blind development, but rather technical design and data accessibility checks for each ecosystem. The assessment for this stage is 45,000 UAH, with a timeline of 10 working days.

Here is an important nuance - Apple Watch provides data well through HealthKit, the Android part is better built around Health Connect, while Garmin, Fitbit, Polar, Huawei, and Samsung need to be checked separately for rights, limits, data types, and API access conditions. In many such projects, the weak point is not the application, but the stability of data import and legally correct handling of user data.

At the design stage, we will prepare the architecture of the mobile application, the server database schema, the data source map, the synchronization model, the list of available metrics, and a prototype for data transfer to ChatGPT for long-term analysis. Note that health recommendations need to be separated from medical claims; otherwise, you might accidentally build a beautiful but risky system =/

Please clarify two points:
> should the application analyze data only from the watch owner or also transmit it to a doctor, coach, or administrator?
> is there already a server database, or does it also need to be designed and developed?

Similar project: Доработка CRM системы для управления проектами 3 этап
  • Projects 77
  • Rating 5.0
  • Rating 10 657

Budget: 12500 UAH Deadline: 12 days

Is there no list of devices? I have extensive experience integrating similar projects. I have worked with many devices. Let's look at the full project details. I am available and ready to collaborate.

  • Projects 4
  • Rating 5.0
  • Rating 986

Budget: 27000 UAH Deadline: 60 days

📌Hello.👋
⭐️My name is Andrey.
⭐️My work experience: 12 years+

• ➡️I can show works specifically on mobile applications
• 🎨Portfolio: Freelancehunt
• ✅Work rating on Behance (over 600,000 views)
• 💼More works here: Dribbble

Sputnik Messenger — Mobile App
  • Projects 78
  • Rating 5.0
  • Rating 22 430

Budget: 27000 UAH Deadline: 60 days

Good afternoon, I have an idea and have done something similar in terms of functionality. We take data via API, write separate scripts for OpenAI, and then output information into each section. I have done this with OpenAI and with Gemini.

I am ready to discuss all the functionality; the price for such an app will be approximately $6k to $8k. As for the timeline, I think the design will take 3 weeks, and the front-end + back-end will take 2 months.

  • Projects 34
  • Rating 5.0
  • Rating 6 616

Budget: 777 UAH Deadline: 7 days

Hello! I am engaged in Flutter development for iOS and Android, ranking in the top 10 in the field of hybrid mobile applications on freelance platforms. I have experience in both independent app development from scratch to release and working in commercial companies. I have also published applications in the App Store and Google Play — from preparation to full release. I have done backend development using Firebase and Python. I have a Mac and Apple Watch for testing :) Proofs for mobile are in my reviews.

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  • Rating 398

Budget: 10000 UAH Deadline: 15 days

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?

  • Projects 35
  • Rating 5.0
  • Rating 7 712

Budget: 2500 UAH Deadline: 1 day

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.

  • Projects 5
  • Rating 4.9
  • Rating 756

Budget: 2000 UAH Deadline: 7 days

Hello, I worked on FitSync — an app for synchronizing data from fitness trackers with 12+ data sources and a base of 50k+ users, which is very similar to your project!

Have you already decided what the priority for the first stage is — integration through Apple HealthKit / Google Health Connect as aggregators, or direct APIs from manufacturers (Garmin, Polar)?

I suggest we get in touch; I will provide you with free technical consultation and we can create a development plan + I will tell you about my team!

  • Projects 4
  • Rating 5.0
  • Rating 654

Budget: 1234 UAH Deadline: 3 days

Hello!
I have the necessary experience.
Message me privately, I will be happy to help!

  • Projects 3
  • Rating 5.0
  • Rating 1 124

Budget: 27000 UAH Deadline: 60 days

Good day 👋

I develop cross-platform applications on React Native and have experience specifically with health data: Apple HealthKit, Google Health Connect, connecting GPT for analytics. The topic of wearable devices and health is close to me.

Here’s how I see the implementation: we will select the optimal way to import from different ecosystems (where there is an official API), set up synchronization with your database while preserving the complete history, and connect AI for analyzing long-term trends (sleep, HRV, VO₂ Max) with personalized recommendations.

⚠️ Honestly: HealthKit/Health Connect provide almost everything natively, while Garmin/Polar/Huawei is a separate story for each API. Therefore, we will clarify the final scope during the research phase.

Price/term: $6000–9000, 6–9 weeks (depending on the final set of integrations)

  • Projects 35
  • Rating 2.8
  • Rating 97

Budget: 25000 UAH Deadline: 14 days

Good day
I am ready to complete the project.
I haven't specifically worked with clock integrations, but I have experience in everything else.

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  • Rating 472

Budget: 10000 UAH Deadline: 7 days

Hello!

At NC-1, we have experience in data architecture, so we propose to approach your project by creating a Smart MVP. The main goal is to launch a product that already generates value for the user without dragging the development for six months.

Our approach to MVP:

Focus on the core: At the start, we will integrate Apple HealthKit and Google Health Connect. This covers 80% of the user market and allows us to begin data collection today without developing complex connectors for each brand.

AI analytics out of the box: We do not send "everything" to ChatGPT; instead, we develop a service that only sends critical metrics (sleep, pulse, HRV). This makes AI responses quick, accurate, and cheaper to maintain.

  • Projects 8
  • Rating 4.7
  • Rating 4 056

Budget: 27000 UAH Deadline: 14 days

Hello!

Regarding your first stage — the optimal solution for import. The main point: there is no single API for all watches, so the correct answer is a hybrid of 3 levels into one normalized database:

On-device: HealthKit (iOS) + Health Connect (Android) — Apple Watch, Samsung, Pixel, and everything that syncs to the phone (Apple does not have a cloud API — only on-device).
Aggregator (Terra): one API → Garmin, Polar, Oura, Whoop, Fitbit, Withings. This removes ~7 separate vendor approvals and 7 schemes.
Direct API only where necessary (mainly Huawei) — post-MVP, does not block launch.
Analysis through ChatGPT: OpenAI does not receive RAW data — the backend calculates trends (HRV, sleep, training load, VO₂max, anomalies) and sends a compact "digest" (KB for the year) → recommendations in cards with a disclaimer. Cheap and without data leakage.

Privacy: health = special category (GDPR Art. 9): granular consent + separate for transfer to OpenAI, encryption, DPA, compliance with HealthKit/Health Connect rules (critical for store reviews).

  • Projects 47
  • Rating 5.0
  • Rating 11 854

Budget: 1000 UAH Deadline: 1 day

Hello, I have relevant experience in application development from idea to publication.
Feel free to message me privately.
I would be happy to help you!

  • Projects 11
  • Rating 5.0
  • Rating 1 788

Budget: 25000 UAH Deadline: 45 days

Good day! We have experience working with HealthKit and Google Health Connect, as well as with the APIs of wearable device manufacturers. We implement data collection and synchronization through a unified backend, ensuring stable operation with various transmission protocols. Our team is ready to provide cross-platform development while adhering to all data security requirements.
25000
45

  • Projects 13
  • Rating 4.9
  • Rating 6 949

Budget: 20000 UAH Deadline: 6 days

Hello, I have extensive experience with mobile applications, having developed fintech applications and applications with integrations for maps and events for many users. I would be happy to collaborate.
My Git: https://github.com/onyx144

  • Projects 12
  • Rating 5.0
  • Rating 3 450

Budget: 27000 UAH Deadline: 45 days

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

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  • Rating 348

Budget: 27000 UAH Deadline: 14 days

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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  • Rating 496

Budget: 800 UAH Deadline: 1 day

Hello!

We can create a mobile application for automatic data import and analysis from smartwatches.
1. Which devices and data sources are your priority at the first stage?
2. Is there already a server base and API for synchronization?


About us

We are dZENcode – a full-cycle IT development company: from design and programming to integrations and post-release support of digital solutions.

  • Projects 4
  • Rating 5.0
  • Rating 2 025

Budget: 27000 UAH Deadline: 1 day

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.

  • Projects 32
  • Rating 5.0
  • Rating 7 968

Budget: 11998 UAH Deadline: 14 days

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?

  • Projects -
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  • Rating 556

Budget: 27000 UAH Deadline: 60 days

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?

  • Projects 55
  • Rating 5.0
  • Rating 6 585

Budget: 27000 UAH Deadline: 30 days

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

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  • Rating 448

Budget: 10000 UAH Deadline: 10 days

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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  • Rating 231

Budget: 27000 UAH Deadline: 12 days

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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  • Rating 196

Budget: 27000 UAH Deadline: 10 days

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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