Cross-Platform Golf Swing Analyzer

@infowider11

⭐️⭐️ Golf Swing Analysis App (Real-Time CV + Cross-Platform Performance) ⭐️⭐️⭐️ Hello, How are you? I clearly understand your vision: building a high-performance golf swing analysis app that captures video in-app, processes it frame-by-frame, and provides smooth slow-motion playback with accurate visual feedback and comparisons—all within a clean, intuitive interface on both iOS and Android. See Deliverables ✔ Cross-platform mobile app (iOS + Android builds) ✔ In-app camera with high-FPS video capture ✔ Frame-by-frame playback with smooth scrubbing ✔ Pose detection (body joints, swing angles, club path estimation) ✔ Visual overlays (angles, lines, posture correction hints) ✔ Local storage of swings with comparison feature ✔ Clean, minimal UI for fast navigation (capture → analyze in few taps) ✔ Well-structured, commented source code ✔ Setup & maintenance guide for future builds Let’s chat… Thanks

@irsolutions

With over a decade of experience in cross-platform mobile development, I understand your goal of creating a cutting-edge Golf Swing Analyzer app for both iOS and Android. My extensive background in high-performance systems, such as serving over 1 million users with Telegram Mini Apps, directly applies to the intricate frame-by-frame swing analysis required for your project. For strategic insight, leveraging Flutter for this project can ensure a responsive and seamless user experience across both platforms. Additionally, my past success in developing native and cross-platform mobile apps, including sports-tracking projects, showcases my capability to deliver the level of accuracy and performance needed for your Golf Swing Analyzer. I encourage you to reach out so we can discuss the roadmap for this project in more detail. I am confident that my technical expertise and experience in developing high-performance camera apps align perfectly with your project requirements. Let's work together to bring your vision to life.

@augurstech

A Warm Hello! We are readily available to start working on this project! We are confident to provide you frame-by-frame video analysis with smooth scrubbing and accurate visual overlays is not something every mobile stack handles equally well. For this kind of real-time camera + computer vision workload, architectural decisions will directly impact user experience. Looking forward to helping you build a fast, precise, and genuinely useful swing analysis tool. Best regards, Ana

@diektech

Hi, This is Elias from Miami. I checked your project description and understand you want a mobile app for iOS and Android that lets golfers record swings directly in-app, review them frame by frame, and analyze motion with smooth playback, visual angle feedback, and local comparison against previous swings. I’ve worked on camera-heavy mobile apps and performance-sensitive flows before, including projects where smooth video capture, frame processing, and clean UX were critical. For approach, I’d recommend a native-focused architecture for this use case, or Flutter with native camera/CV bridges if you want one shared codebase, because swing analysis depends heavily on low-latency capture, precise frame access, and reliable on-device processing. I’d keep the flow minimal: capture, process, analyze, compare, with local storage and a codebase structured for easy future model upgrades. I’d be happy to go through the details and suggest the best technical approach. I have a few questions to get a better understanding: Q1 – Do you want the swing analysis to run fully on-device, or are you open to a backend-assisted CV pipeline for heavier pose or club-path processing? Q2 – Should the first version focus on body-pose/angle analysis only, or do you also want club tracking and path detection included from the MVP stage? Looking forward to hearing from you.

@planDapps

Hi, Capturing the split second mechanics of a golf swing requires a high frame rate architecture and precise Computer Vision processing. At Plan D Studios, we bring 12+ years of experience in Mobile App Development, specializing in native performance to ensure video scrubbing remains fluid and analysis stays "buttery smooth." My Technical Approach: The Stack: I recommend Flutter with custom C++ Native Modules. This allows for a unified UI while leveraging native camera APIs for high FPS capture and OpenCV or MediaPipe for real time pose estimation. Swing Analysis: I’ll implement a custom model to detect 33 key body points and the club path, enabling automated drawing of swing planes and joint angles directly over the slow motion playback. High Performance UX: A "Zero Latency" video player built with hardware acceleration, allowing golfers to scrub frame by frame with zero lag. Local Comparison: A split screen overlay feature to compare current swings with "Gold Standard" sessions stored on the device. We handle all iOS Development and Android App Development in house to ensure elite code quality. Regarding the analysis: Would you like the app to automatically trigger the recording based on the sound of the club impact, or should the user manually start and stop each capture? Regards, Haider

@kamran2012

Good to see this project, I will deliver production-ready iOS and Android builds of the swing analyzer — camera capture, frame-by-frame playback with scrubbing, angle overlays on key joints, and local swing history with side-by-side comparison. I will use Flutter with the camera plugin for capture and Google ML Kit Pose Detection for body landmark tracking. ML Kit runs on-device with low latency, giving reliable joint positions without a cloud round-trip. From those landmarks, I will calculate club path, hip rotation, and shoulder angles per frame — rendering them as real-time overlays on the slow-motion timeline. Flutter's Skia engine handles the smooth scrubbing and drawing without dropping frames on mid-range devices. Looking forward to your response. Best regards, Kamran

@n2rtechnologies

Hi, You're building a swing analyzer that captures and breaks down golf mechanics in real-time across both platforms. Quick question: are you planning frame-by-frame analysis, angle detection, or both—because that shapes whether we go Flutter or native. Message me to discuss. Best Regards, Hasan

@pinkeegupta

Hello For this project, I recommend a native approach (Swift for iOS + Kotlin for Android) to ensure maximum camera performance, low-latency processing, and precise frame control—something cross-platform frameworks often struggle with in real-time video analysis. For swing detection and body tracking, I’ll integrate MediaPipe Pose, combined with custom logic (and optional OpenCV enhancements) to calculate key metrics like spine angle, hip rotation, and swing plane. The app will work fully on-device (offline) and store swings locally for instant comparison. Please consider me and initiate a chat for further detailed discussion. Regards, Anju

@DeveloperStation

Hi, We’ve developed a similar app called “Desi Golf,” where users can record their swings and receive AI-driven feedback on key angles like spine tilt and shoulder rotation. We also built a web dashboard for coaches to analyze player videos and provide insights. For your project, I recommend using native iOS and Android development with Swift and Kotlin, as this approach allows us to leverage the latest camera features and optimize performance. We can also integrate a custom-built AI model to analyze swings and provide actionable insights. Let’s schedule a 10-minute introductory call to discuss your project in more detail and ensure I fully understand your requirements. I’m available at any time that suits you. I’m eager to learn more about your exciting project. Best regards, Adil

@mahig47

Hello! As per your project post, you’re looking to build an Golf Swing Analyzer App that records swings and provides frame by frame analysis with visual feedback. The system will enable users to capture swings directly in app, review them in slow motion, and analyze key angles and movements with comparison against previous recordings stored locally. The goal is to deliver a high performance, intuitive app that makes swing analysis simple, accurate, and actionable. My focus will be on delivering a complete swing analysis app, featuring: in app camera capture optimized for high frame rate recording, smooth slow motion playback with frame by frame scrubbing, visual overlays highlighting key body angles and club path, local storage and comparison of past swings, and a clean UI that minimizes steps from recording to analysis. For performance, I recommend native development using Swift and Kotlin combined with computer vision frameworks like MediaPipe. I specialize in mobile app development with strong experience in camera based apps, computer vision integration, and performance optimized UI systems. My focus is on building precise, responsive applications where real time processing and smooth user experience are critical. Let’s connect to review your expectations for analysis accuracy, UI flow, and define a clear technical approach for reliable swing detection and visualization. Best regards, Nikita Gupta.

@ZohaibRoy

⭐⭐⭐⭐⭐ Create a Golf Swing Analysis App for iOS and Android ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements and see that you're looking for a golf swing analysis app. Look no further; Zohaib is here to help you! My team has successfully completed 50+ similar projects for sports analytics apps. I will create an app that allows users to record their swings and receive instant feedback with features like slow-motion playback and angle comparisons. ➡️ Why Me? I can easily build your golf swing analysis app as I have 5 years of experience in mobile app development, focusing on video analysis, user interface design, and camera integration. My expertise includes Swift, Kotlin, and Flutter, ensuring a smooth and efficient app experience. I also have a strong grip on computer vision libraries that can help with accurate swing detection. ➡️ Let's have a quick chat to discuss your project in detail and let me show you examples of my previous work. I look forward to discussing this with you in our chat. ➡️ Skills & Experience: ✅ Mobile App Development ✅ Swift & Kotlin ✅ Flutter & React Native ✅ Video Analysis ✅ User Interface Design ✅ Camera Integration ✅ Computer Vision ✅ Performance Optimization ✅ API Development ✅ Source Code Documentation ✅ Maintenance Guides ✅ User Experience Testing Waiting for your response! Best Regards, Zohaib

@johibkhan

Hi, With over 15 years of experience in software development, I bring a wealth of knowledge to the table. High-performance and low-latency systems are my domain, and I have successfully contributed to numerous projects within the trading, fintech, and SaaS sector. componentDidPyObjectections are my strong suit, making me well-suited for your golf swing analyzer project. My expertise extends not only to Android and iOS languages such as Flutter, React Native, Swift, and Kotlin but also to efficient coding and performance optimization. These skills will ensure accurate swing analysis in real-time while efficiently maintaining battery life. In addition to my programming skills, I am proficient in system design. With your project demand for clean and maintainable code in mind, I will provide full, well-commented source codes alongside a setup & maintenance guide for your future use. Regarding video analysis projects, one prime example includes my contribution to a trading application where real-time data analysis was crucial throughout. Here, as throughout my wide array of previous experiences mentioned above, ciphertext-equivocal analyses were of utmost importance wherein the users could visualize their trades without compromising speed or accuracy. By extension, I have proficiency in utilizing camera and computer-vision libraries for motion tracking; an acumen that will be key to delivering your desired analytics engine to detect club path and body positions reliably.

@vladang

Frame-by-frame swing analysis fails most often at capture quality and timeline scrubbing—if frames drop or decoding lags, angle detection becomes unreliable and UX breaks. I’d build this natively (Swift + Kotlin) to guarantee consistent high-FPS capture (60–120fps where supported) and precise frame access. Video is recorded using device-level camera APIs, stored locally, and processed frame-by-frame with a lightweight pose estimation model (MediaPipe or a CoreML/TFLite variant). Keypoints (shoulders, hips, wrists, club proxy) are extracted per frame, then angles and swing path are derived deterministically. Playback uses a custom frame buffer to ensure smooth scrubbing without re-decoding overhead. I’d also cache computed metrics per video to avoid reprocessing and enable instant comparison between swings. I’ve built similar video pipelines in Aras (Python/PHP), handling frame-accurate processing and low-latency playback, improving analysis speed by ~40%. Happy to walk through a working architecture before starting. Q1: Do you require real-time analysis during recording or post-capture only? Q2: Should swing comparisons include overlay alignment or just metric-based comparison? Q3: Any target devices or minimum FPS requirements we must guarantee?

@CANWS

Hi, Your project needs more than a standard mobile developer—it needs someone who understands high-performance camera apps, smooth video processing, and accurate motion analysis. That’s exactly where I can help. For this type of app, I’d recommend Flutter with native camera/CV modules (or full native if maximum performance is priority). This gives you fast cross-platform delivery without sacrificing frame-by-frame playback or real-time responsiveness. What I’ll Deliver: ✔ In-app swing recording on iOS & Android ✔ Smooth slow-motion + frame-by-frame scrubbing ✔ Key angle/body position highlights ✔ Compare swings with past sessions stored locally ✔ Clean, intuitive UI with minimal taps ✔ Production-ready builds + full source code For analysis, I’d use MediaPipe / pose tracking + custom swing logic to detect body positions, tempo, and club path with reliable accuracy. I have experience building camera-intensive mobile apps, video analysis systems, and performance-focused cross-platform products where stability and user experience are critical. Quick question: is your first priority coach-level analysis accuracy or a clean consumer MVP users can enjoy immediately? Best regards, Mayank

@eliaa

Creating a cross-platform Golf Swing Analyzer app that records and analyzes swings is an exciting challenge, and with our 9+ years of experience in full-stack development and expertise in Flutter, we can deliver a seamless app for both iOS and Android. We have built performance-focused mobile apps with advanced data processing and user-friendly interfaces, ensuring accuracy and a smooth user experience. Confident in delivering within your $5000 budget without compromising quality, we'd love to know if you have specific swing metrics or AI features in mind for analysis. Let's discuss how we can bring your vision to life efficiently and effectively!

@UzeeTech

As a cross-platform developer with a strong focus on mobile app development, I'm thrilled about the opportunity to create your Golf Swing Analyzer. My expertise with Android and Flutter ensure that I'll be able to deliver production-ready iOS and Android builds that capture and analyze swings accurately, recreating a slow-motion playback and visually highlighting essential angles. Having built a variety of highly performant, user-focused applications over my 7+ years of experience, including video analysis and sports tracking systems, I'm confident in my ability to meet all your requirements. My recipe for your project success includes integrating one codebase system tailored for both App Store and Google Play using Flutter or React Native while ensuring the highest performant analytic capabilities where needed. Additionally, along with delivering full-source code commented to ensure maintainability, I’ll provide you with concise setup & maintenance guidance so running future builds is a breeze for you. You deserve more than excellent code; you need a partner who can effectively communicate updates, stick to timelines and use their experience to guide smarter technical decisions. My clients repeatedly choose me because I deliver on-time (98% on or before deadline) while maintaining consistent communication levels. Moreover, my clean, well-documented code will provide seamless transition for any future developers. Let’s turn this project into reality together!

@zjawaid

Hello, I can build your golf swing analysis app for iOS and Android with a strong focus on high-performance video capture and smooth frame-by-frame analysis. With 8+ years of experience, I’ve worked on camera-based and real-time applications, and I recommend using a cross-platform approach (React Native) combined with native modules for camera and computer vision to ensure both performance and scalability. Proposed approach: • Use high-performance camera libraries for smooth video capture • Implement frame-by-frame playback and slow-motion controls • Apply computer vision (OpenCV / MediaPipe) to detect body posture and swing angles • Highlight key angles and swing paths visually • Store and compare swings locally for progress tracking • Ensure a clean, minimal UI so users reach analysis quickly Why this approach: React Native allows a single codebase for both platforms, while native integrations ensure real-time performance for video processing, which is critical for this app. Deliverables: • Production-ready iOS (.ipa) and Android (.aab) builds • Full well-documented source code • Setup and maintenance guide for future builds I focus on building fast, intuitive, and accurate video analysis experiences with clean, maintainable architecture. Best regards

@juanjosec63

Hi, I have 9 years experience in (iOS development, Android development, Flutter, computer vision, high-performance camera apps, and video analysis systems). For this project, I am going to build a smooth cross-platform swing analysis app with in-app video capture, frame-by-frame playback, angle overlays, and local swing history/comparison, using a stack chosen specifically for low-latency camera handling and reliable analysis flow. I have real hands-on experience with video-heavy mobile applications, and for this type of app I would likely recommend native camera processing or Flutter with optimized native plugins depending on how deep the real-time swing analysis needs to go, so performance stays strong while the codebase remains maintainable. You can expect clear communication, fast turnaround, and a high-quality result. Best regards, Juan

@techsty2014

Hi there, I will build your golf swing analyzer for iOS and Android with in-app video capture, smooth frame-by-frame playback, angle overlays, and local swing history for side-by-side comparison. For this type of app, I would use native Swift and Kotlin because camera control, frame access, and playback performance are stronger for high-speed analysis than a shared layer. I have handled camera-focused mobile work with frame processing and would use pose detection plus tracked swing checkpoints to keep feedback fast and consistent on-device. Questions: Do you want body-angle analysis only, or club path tracking as well? Should past swings stay only on the device, or also sync to a backend? Do you want support for external slow-motion videos too? Looking forward to talking through the details. Faizan