IOS app and apple watch app

@a4logic

Hello, As a dedicated and experienced team at Our Software, we thrive on tackling unique and innovative projects such as yours. With a focus on delivering impactful and efficient mobile apps, our skillset is well-suited to meet the challenges of creating an iOS app and Apple Watch app that your project demands. We have expertise in using Core Motion, Core ML, and Create ML among other frameworks you've mentioned, giving us a great advantage in taking care of the algorithm choices for motion detection and classification tasks. In addition to that, we understand the significance of privacy for your users. Keeping this in mind, we're committed to keeping all the processing on-device whenever possible and adhering to any necessary procedures involving exporting raw events to the backend for model updates. Past work wise, we have extensive experience in developing mobile apps centered around health-related monitoring and motion classification, which places us in an advantageous position to deliver highly accurate detection algorithms with minimum battery impact. The confidence I have in my team's ability to deliver quality work is reflected in our positive feedback and excellent customer service record. We are eager to start working with you, ensuring milestone deliverables that meet or exceed your expectations while ensuring clarity and speed throughout the development process. Thanks!

@dfordesigners

Hi Andrea M. I’m your web developer, ready to turn your project IOS app and apple watch app into reality! I’d love to discuss the details and create something amazing together. Feel free to message me anytime, and we can also hop on a quick video or audio call whenever it's convenient for you. I’ve developed many projects exactly like what you’re looking for. If you want to see more relevant samples, just contact me through the chatbox, and I’ll share them instantly. ★ Why Clients Trust Me 500+ successful web projects delivered 430+ positive client reviews Expert in PHP, Mobile App Development, Android, Software Architecture, Machine Learning (ML), iOS Development, AI Model Development, AI Model Integration WordPress, Shopify, PHP, JavaScript, HTML, CSS, Plugin/Theme Development, Laravel, WebApp Clean, modern, responsive and SEO-optimized designs Fast delivery, great communication, and long-term support Available during EST hours for smooth collaboration If you want a professional developer who delivers quality work on time and stress-free, let’s connect. I’m excited to help build something amazing for you. Best regards, Kausar Parveen

@nikhilgarg96

Hello, As an experienced developer with a diversified skill set covering AI model development, iOS app development and backend programming with PHP, I am eager to take on your project. Delving into my wealth of skills and knowledge, I can devise a sound sensor sampling strategy that effectively utilizes the accelerometer and gyroscope in your iPhone to detect scratching episodes. Utilizing Core Motion and Core ML frameworks, I would create a hybrid approach that combines rule-based algorithms and embedded Core ML models. This will allow for efficient detection, categorization of motion patterns while filtering out any noise. Additionally, my proficiency in SwiftUI can bring a minimalist yet user-friendly interface to reality- presenting users with time-stamped events alongside daily and weekly summaries. Noteworthy, my past work has encompassed projects involving activity recognition and health-related monitoring. This solid experience puts me in a perfect position to tackle your project innovatively. My previous clients rave about my ability to deliver high quality results within agreed timelines and budgets. Strengthening our collaboration is your desire to iterate quickly which aligns perfectly with my philosophy of regular communication with clients for better deliverables. Your selection is not only hiring a skillful freelancer but gaining a reliable partner in bringing your project to life. Let us begin this incredible journey together! With Regards! Nikhil

@SBITServices

Hi Andrea, For the IOS app and Apple Watch app project, I propose a sensor sampling strategy utilizing the accelerometer and gyroscope. Algorithm choices will include a rule-based layer and Core ML model for motion pattern detection. Frameworks like Core Motion and Core ML will be utilized. I will provide a timeline, cost estimate, and relevant past work details in our discussion. Looking forward to discussing further. Regards, Sai Bhaskar

@usamae

I'm experienced in developing iOS apps utilizing Core Motion and Core ML frameworks for motion detection and classification. With a focus on on-device processing for user privacy, I propose a hybrid approach combining rule-based filtering and machine learning models. My technical proposal will detail sensor sampling, algorithm selection, and development timeline. My past work in motion classification and health monitoring aligns well with your project requirements. Looking forward to discussing further.

@durgesh8527

As a seasoned software engineer with over 12 years of experience, I'm confident that I am the best candidate to bring your iOS app and Apple watch app to life. My skillset spans across numerous technologies including iOS development, Mobile App Development, PHP, as well as Software Architecture—equipping me with deep knowledge that will be indispensable in solving complex problems like the one your project presents. I have a keen eye for detail and excellent grasp over emerging technologies. Having worked on several projects involving Health-related monitoring and activity recognition, I have a good understanding of how to create an app tailored to uniquely support the health goals of individuals like yours. Moreover, my hands-on experience in ReactJs along with other frameworks such as Core Motion, Core ML, and Create ML recommended for this project, makes me both versatile and resourceful. When you choose me as your freelancer, expect not only core development work but comprehensive milestones including hybrid sensor sampling strategy and algorithm choices to ensure timely detection of scratching episodes without burdening the battery life. Additionally, my availability in the USA time zone opens greater prospects for effective communication throughout the project’s lifecycle. In sum, it would be my utmost pleasure to apply my wealth of experience & passion for building highly scalable technology products to your unique project design.

@phpxpert89

Hello Andrea M., I checked your project, and it looks interesting. This is something we already work on, so the requirements are clear from the start. We mainly work on PHP, Mobile App Development, Android, Software Architecture, Machine Learning (ML), iOS Development, AI Model Development, AI Model Integration We focus on making things simple, reliable, and actually useful in real life not overcomplicated stuff. Let’s connect in chat and see if we’re a good fit for this. Best Regards, Ali nawaz

@GameOfWords

As an AI Mobile & Web Developer with extensive experience in iOS development and machine learning, I believe I'm the perfect fit for your lightweight iPhone app and Apple Watch app project. My profound understanding of React Native, Flutter, and modern web technologies guarantees you a cutting-edge user experience married with state-of-the-art AI functionality. For your scrath detection app, I'm proposing a sound sensor sampling strategy and algorithm choices that utilize Core Motion, Core ML, and Create ML frameworks. I've effectively used similar techniques in my past projects involving motion classification, activity recognition, and health-related monitoring which makes me confident in meeting your expected target detection accuracy whilst ensuring minimal battery impact. Let's bring the v1 release of your app to life together!

@leenadvnani6

Good Day Andrea, As a senior iOS developer specializing in motion sensor technologies, I am excited about the opportunity to work on your project. I will leverage my expertise in Core Motion and Core ML frameworks to create a lightweight iPhone app and Apple Watch app that accurately detects scratching episodes using on-device processing for user privacy. Why Choose me? - Unlimited Revisions: Ensuring the app meets your exact requirements. - Unique Creations: Tailoring sensor sampling strategy and algorithm choices for optimal performance. - Money-Back Guarantee: Ensuring your satisfaction with the final product. - 24/7 Communication: Keeping you updated on the project progress. - Timely Delivery: Meeting project deadlines efficiently. Browse my portfolio for quality work samples: https://www.freelancer.com/u/leenadvnani6 Let's discuss your project further in the chat. Best regards, Leena Kumari :)

@DigitaSyndicate

⚠️You are not looking for a coder. You are looking for someone who can build this properly. That is exactly why your project stood out.⚠️ Your goal to create a lightweight iPhone app leveraging built-in accelerometer and gyroscope data for on-device scratch detection demonstrates a commitment to privacy and nuanced motion analysis, perfectly aligning with how we design seamless, reliable sensor-driven systems. At DigitaSyndicate, a UK-based digital systems agency, we build precision-engineered automation, modern web platforms, and AI-driven systems designed for performance and long-term scalability. Our approach ensures streamlined integration of Core Motion and Core ML frameworks, balancing real-time filtering with embedded machine learning to deliver intuitive, battery-efficient detection and user notifications. Having delivered a health monitoring solution using hybrid motion classification models, I understand the importance of accuracy and minimal battery impact. Can you share your main priorities and timeline so I can map out the right execution plan for you? Casper M. Project Lead | DigitaSyndicate Precision-Built Digital Systems.

@MSaadJaved

Hi Andrea M., I am an iOS developer focused on motion and health apps. I build privacy-first, on-device solutions and have shipped motion classification features before. Please see my profile for examples. Technical plan: use Core Motion (CMMotionManager / deviceMotion) to sample accelerometer and gyroscope at about 50–100 Hz. Process 1–3 second sliding windows with overlap. Use simple rule filters (magnitude threshold, bandpass 2–15 Hz, activity mask) to cut obvious noise, then run an embedded Core ML model trained via Create ML for subtler patterns. Use UserNotifications for alerts and SwiftUI for the main screen and settings. Deliverables and acceptance: prototype data capture, model integration, event log and summaries UI, and tests. Target detection accuracy ~85–90% and low battery impact via duty cycling. Do you have labeled scratch data or should I include a small data collection flow? Best regards, Saad J.

@maksymh31

Hello, I will build a lightweight iPhone + Apple Watch app that detects scratching using only accelerometer/gyroscope with all inference on-device. Approach: use Core Motion to sample deviceMotion and raw accel/gyro at 50–100 Hz, buffer 1–3s windows, apply a fast rule-based filter (energy + dominant frequency) to remove obvious noise, then run a compact Core ML model (small 1D-CNN or GRU converted with coremltools/Create ML) for subtle patterns. Apple Watch support via WatchKit/WatchConnectivity to either detect locally or forward events to the phone. Notifications: local push when daily count > configurable threshold. UI: single SwiftUI screen with timestamped events and rolling daily/weekly summaries; simple settings view. Start: I’ll deliver a sensor-capture prototype first, then rule-based detector, then ML integration and watch sync. What I need from you to start: any labeled scratch/no-scratch samples or willingness to collect ~15–30 min of annotated data, target daily threshold, and test device models. Acceptance: target ≥85% balanced accuracy (aim 90%), false positives <10%/day, battery overhead <~5% daily. Milestones: prototype (3d), rule-detector+UI (4d), ML model+integration (4d), testing+tuning (3d). Do you already have any labeled scratch recordings or can you help collect ~15–30 minutes of annotated samples (phone in typical carry positions and optional watch) to jumpstart model training? Best regards,

@techsty2014

Hello, I’m excited to help you develop your iPhone and Apple Watch app for detecting scratching episodes using built-in motion sensors. For sensor sampling, I'd utilize Core Motion for efficient accelerometer and gyroscope data handling, paired with a hybrid detection model using Core ML for nuanced pattern recognition. I propose a SwiftUI interface for a smooth, native experience, ensuring minimal battery impact. My approach includes rule-based noise filtering combined with a trained Core ML model for accurate detection. Push notifications will alert users when thresholds are surpassed, and the app will feature time-stamped event logs with daily/weekly summaries. Past work includes motion classification and health monitoring apps, focusing on high accuracy and user privacy. I can provide a timeline and cost estimate covering development, testing, and initial deployment. Questions: • What detection accuracy and battery impact are you targeting? • Can you share any specific motion patterns or data for model training? Looking forward to discussing milestones and acceptance criteria to ensure project success. Thanks and best regards, Faizan

@abdulhamidh2

⭐️⭐️⭐️⭐️⭐️ Hello, I’m excited about the opportunity to help bring your iPhone app to life! I fully understand your requirements for detecting scratching episodes using the accelerometer and gyroscope, while ensuring user privacy with on-device processing. My approach will include a robust sensor sampling strategy using Core Motion, paired with a hybrid detection algorithm that combines rule-based filtering and a Core ML model for nuanced motion analysis. I will design a minimalist SwiftUI interface and implement thorough unit/UI testing to ensure a seamless user experience. I have experience in motion classification and health monitoring projects, which I can leverage for this app. I propose a timeline of 4-6 weeks for core development and testing, with clear deliverables including detection accuracy metrics and battery impact assessments. Let’s discuss this further and clarify any questions you may have. I’m eager to start this project! Best, Abdulhamid

@asharib17

Hello there, I can design and build a lightweight, privacy-first iOS app that detects scratching episodes using on-device motion sensors only. The focus will be accurate detection, low battery impact, and a clean v1 experience. Technical approach: * Core Motion for accelerometer and gyroscope sampling with battery-aware rates * Rule-based filtering to remove obvious non-scratch motion * On-device Core ML model (Create ML or custom pipeline) for subtle pattern detection * All processing stays on-device, with optional hooks for future data export * Push notifications triggered when configurable daily thresholds are exceeded App structure: * SwiftUI interface * Main screen showing time-stamped scratch events * Rolling daily and weekly summaries * Simple settings view for thresholds and notifications Milestones & timeline: * Architecture & sensor strategy: 2–3 days * Detection logic + Core ML integration: 1–2 weeks * SwiftUI UI + notifications: 4–5 days * Testing and tuning on recent iPhone models: 3–4 days Acceptance criteria: * Stable real-time detection on modern iPhones * Detection accuracy agreed during calibration phase * Minimal battery impact verified during testing * Reliable notifications and clear summaries I’ve worked with motion-based classification and sensor-driven features and can iterate quickly to refine accuracy and usability. Happy to discuss similar work and move forward.

@ianb65

With almost a decade of experience in full-stack development, my knowledge and expertise extend to creating robust and scalable mobile apps, making me a great fit for your iOS app and Apple Watch app project. I have considerable experience in working with sensor technology, specifically with projects involving motion classification and activity recognition, which aligns perfectly with your requirements. To tackle the challenge of detecting scratching episodes, my technical proposal would be to leverage Core Motion and Core ML frameworks in line with a hybrid approach you suggested. This combination will allow me to use rule-based layering along with an embedded Core ML model to efficiently capture both obvious noise and subtle motion patterns for accurate detection. My proposal also involves implementing push notifications when scratching exceeds the daily threshold along with providing an intuitive UI that displays time-stamped events and rolling summaries. In conclusion, we both share the same vision of iterations and rapid progress on tasks. Choosing me will not only equip your project with cutting-edge technology but also provide it with meticulous testing for a successful v1 release. If you are as excited about this project as I am, let's start creating a lightweight yet powerful app together. Feel free to invite or message me to take the next step!

@andriik18

Hi there, I am excited about the opportunity to bring your innovative iPhone and Apple Watch app to life. With over 7 years of experience in software development, I specialize in creating applications utilizing motion sensors, and I am well-versed in Core Motion and Core ML frameworks. For your project, I propose a sampling strategy that combines rule-based detection with a custom Core ML model for nuanced motion analysis, ensuring robust performance while preserving user privacy. I anticipate a timeline of around 4-6 weeks for core development, including a minimalist SwiftUI interface and thorough unit/UI testing on recent iPhone models. As for the budget, I believe this project can be completed within a range of 200-250 EUR. Best regards, Andrii

@nutankumarftp

Leveraging my extensive experience as a Full Stack Web and Mobile App Developer, I'm eager to tackle your iOS app project from start to finish. My familiarity with Core Motion and Core ML frameworks, as well as Create ML, would be incredibly valuable in crafting the lightweight scratching detection app you envision. Having worked on diverse motion classification projects before, I'm confident in my ability to effectively use sensor sampling strategy and algorithm choices that align with the nature of your app. My commitment to delivering high-quality work is evidenced by my 2000+ successful projects across the span of a decade. In addition to the functionalities you've listed, I'll also ensure that your app's SwiftUI interface is intuitive and minimalist to enhance user experience. To facilitate a transparency and ease in our collaboration, I'll provide you with a clear timeline and cost estimate, incorporating core development, unit/UI testing on recent iOS models, and iterative enhancements. With me as your freelancer, you can expect a solution-orientated approach, diligent problem solving abilities and unwavering dedication to fulfilling client goals. I appreciate your eagerness for quick iterations and I assure you, I will match this passion for rapid progress without compromising on the quality of work. Let's get started on building an app that not only meets but exceeds your expectations!

@codefusion53

Hi I can build this iPhone and Apple Watch solution with on device detection using Core Motion plus a lightweight hybrid pipeline that stays privacy first. I would start with a rule based filter for motion intensity and cadence to reduce false positives, then run a compact Core ML classifier on short windows to detect scratching patterns more accurately. The UI can be a clean SwiftUI app with one main timeline screen plus daily and weekly summaries and a settings page for thresholds and notification preferences. For alerts I will implement local notifications based on a configurable daily limit, with push optional later if you add a backend. I can also define measurable acceptance criteria around detection quality and battery use and deliver iteratively with testable milestones, including unit tests and UI tests on recent iPhone models and Apple Watch validation where applicable. Best, Justin