Urgent Android Split-Screen App

@hirujiyu

➰➰ EXPERIENCED ANDROID DEVELOPER SINCE 8+ YEARS Hi there, ✋Based on your requirements, I’d love to help you complete this smart mirror / hairstyling Android prototype. I’ve worked on camera-based Android applications, MediaPipe/OpenCV integrations, and real-time tracking systems, so I can definitely help you connect your existing tracking logic with the USB webcam setup and finalize the app quickly. ⭕ Can you confirm which USB webcam model (UVC specs) you are targeting? ⭕ Should the tracking overlay be adjustable (UI toggles for sensitivity/zoom)? ⭕ Do you want the video + camera sync to be frame-locked or independent streams? ➰ I can also stay available during development for fast iterations since this is an urgent prototype. Let’s connect quickly so I can review your tracking code and Figma design and start right away. Thank you.

@jastp

Hi there, Jas this side from Logictrix and I am ready to work on your app with my team and with a promise for long term support in fairly low cost. Please just give me your few minutes for the chat so that we can discuss all the important points about project as well as we can clarify any queries from both side to go ahead further for final agreement. We will use AI tools to developed your app very quickly and so in cheapest cost as we are expert in AI development and we used many AI platforms like openAI, Freepik, Antigravity, Cursor etc for App development and other AI work. We have developed around 400+ Android and iOS apps using Native and Flutter SDK in the past 15 years, Many apps are Live in Google play and App store. We will share our detailed portfolio over the Chat once we connect. Looking forward to your reply... Thanks and Regards Jas

@corpmember29

Hello!! I have strong experience in Android application development, camera integrations, MediaPipe-based tracking systems, and real-time video processing. I can help you quickly complete this smart mirror prototype with stable split-screen functionality, webcam integration, and tracking adaptation for the new USB camera setup. **** You can track the project’s progress using the tracker. I’m available to work 40 hours per week **** I am comfortable working with Android Studio using Kotlin/Java and integrating Camera2/UVC webcam input along with existing AI tracking pipelines. I can review and adapt your current MediaPipe, YOLO fallback, and PID smoothing implementation to work reliably with the USB webcam feed. • Figma-to-Android UI implementation • 16:9 responsive split-screen layout • Left-side tutorial video playback • Right-side live webcam feed with tracking overlay • USB webcam/UVC integration • Camera standby optimization when not in tutorial mode • Smooth screen navigation and stable performance • Full Android Studio source code + APK • Setup and installation documentation Since this is an urgent prototype-focused project, I can prioritize functionality, integration stability, and quick turnaround while keeping the code clean and maintainable. Let’s connect immediately to review the existing tracking files and start development. Thanks.

@rahuliitm69

Hi there, If you are developing it in Flutter or native Android, I am ready to start right away and can prioritize this urgently because the scope is very clear and focused on frontend + camera integration rather than backend complexity. First I will review your existing Android Studio project, tracking documentation, AI smoothing logic, MediaPipe/YOLO integration flow, and the previous developer’s setup so I can fully understand how the current tracking system works with the older G09 camera and identify what adjustments are needed for USB webcam compatibility. Then I will convert the Figma designs into a clean Android application with proper 16:9 responsiveness, smooth navigation between screens, and optimized split-screen functionality where the tutorial video plays on the left side while the live webcam feed runs on the right side with tracking overlays integrated properly. After that I will integrate the USB (UVC) webcam feed, ensure the camera only activates on the hairstyle tutorial screen to save resources, and adapt your existing face tracking, body fallback tracking, and PID smoothing logic so the webcam tracking remains stable and responsive in real-time during usage. At last I will perform full testing on the tablet environment, optimize performance for stable prototype delivery, and provide the complete Android Studio source code and APK file. Thanks, Rahul

@mariakhan73700

As an accomplished mobile app developer and a seasoned expert in Android, Kotlin, and Java development, I come well-equipped with the exact skills you need for your urgent project. I fully understand the intricacies involved in translating Figma designs into smooth, user-friendly apps that maintain their prescribed 16:9 layout, and I can guarantee a pixel-perfect rendition of your UI. Furthermore, your project heavily involves camera integration, an area which I'm proud to say is one of my strengths. With my extensive experience interfacing USB (UVC) cameras and devices like MediaPipe and TensorFlow Lite (which you prefer), adapting and optimizing your existing tracking code for the new webcam input won't be an issue at all. I'll ensure that the live webcam feed remains on standby until a user navigates to the tutorial screen, just as you've described. In addition to my technical expertise, I also prioritize clear communication and timely delivery. As such, once this project is entrusted to me, expect constant updates on progress towards providing a full Android Studio project (source code), APK file, and detailed setup instructions for entirely running the app on an Android device

@Srashtasoft

I can quickly develop and integrate your Android smart mirror prototype by converting the Figma UI into a stable Android app, integrating the USB webcam feed, and adapting your existing AI tracking system for smooth real-time tutorial interaction. I have strong experience with Android Studio, Kotlin/Java, Camera2/UVC camera integration, MediaPipe, OpenCV, and real-time video processing workflows. I can implement the split-screen tutorial layout, optimize webcam handling, integrate your existing tracking logic, and ensure stable face/body tracking with smooth camera movement on the new hardware setup. Since no backend is required, I can focus entirely on performance, camera integration, UI responsiveness, and rapid prototype delivery. I will provide the complete Android Studio source code, APK, setup documentation, and clear instructions for webcam connection and tablet installation. I’m available to start immediately and can prioritize fast delivery for this urgent prototype project.

@rbtech1984

Hi There!!! ★★★★ ( Urgent Android split-screen app with live webcam tracking and tutorial video playback ) ★★★★ Project understanding: I understand you need a prototype Android app for a smart mirror/hairstyling product. The app requires converting Figma UI into Android screens, integrating a USB webcam feed with auto-tracking, and displaying a split-screen with tutorial video on the left and live feed on the right. ⚜ Figma-to-Android frontend conversion (Java/Kotlin) ⚜ Smooth navigation and 16:9 layout maintenance ⚜ USB webcam (UVC) integration with Camera2 API ⚜ Split-screen view: tutorial video + live feed ⚜ Integration of existing tracking code (MediaPipe/YOLO) ⚜ PID control for smooth camera motion ⚜ Delivery of full Android Studio project + APK + setup instructions I have hands-on experience in Android development, Camera2 API, MediaPipe, and integrating live tracking systems. I’ll adapt your existing code for USB webcam, ensure smooth playback, and provide clear instructions for setup. We can start immediately to meet your urgent timeline. Warm Regards, Farhin B.

@zainalitariq245

Glad to be here, i will build your Android prototype by converting the Figma UI into a clean working app and implementing smooth screen navigation with a stable 16:9 layout designed specifically for tablet use. I will integrate the USB webcam feed, adapt your existing tracking system (MediaPipe/YOLO/PID logic), and build the split-screen hairstyle tutorial view with reliable camera control so everything runs smoothly as a functional prototype ready for testing. Are you already using Camera2 API or should I integrate the USB webcam using a more stable UVC-based approach from scratch? Please Check my Profile: https://www.freelancer.com/u/zainalitariq245 Best Regards: Zain Ali

@ciss26

Hello, I hope you are doing well. I understand that you are looking to build a MOBILE APPLICATION and I would be happy to help. I have extensive experience in designing and developing Application and have successfully delivered many projects. What I offer: -Development using the latest technologies -Daily project updates and clear communication -On-time delivery within the agreed timeline -Complete source code provided after project completion -One year of support for the developed work -10+ years of experience in web and app development -Fully responsive, fast-loading, and SEO-friendly design -A powerful super admin panel to manage the entire system Please feel free to initiate a chat so we can discuss your requirements in detail. Thank you and regards, Dheeraj K.

@royalwebraisers

Hi, As per my understanding: you need an Android prototype with split-screen video/webcam support, USB camera integration, and adaptation of the existing MediaPipe/YOLO tracking system into a stable 16:9 application. • Convert Figma UI into responsive Android screens • Integrate UVC webcam feed with split-screen playback • Adapt existing tracking logic and optimize camera handling Could you share the target Android tablet model, webcam specifications, and current tracking project structure? I will share my portfolio on your first message. I am sure about the delivery after this first meeting. I will be looking forward to hearing from you.

@toriquldev123

Dear Client, I’m Md Toriqul Islam, an experienced Android developer specializing in Kotlin-based mobile apps, camera systems, and real-time computer vision integration with over 10 years of experience. I understand you need a fast Android prototype converting Figma UI into a 16:9 app with split-screen tutorial video and USB webcam feed, integrating existing MediaPipe/YOLO tracking logic, requiring Camera2/UVC support and stable real-time performance without backend complexity. Kotlin, Java, Android Studio, Camera2 API, USB UVC, MediaPipe, TensorFlow Lite, OpenCV, real-time computer vision, UI integration Feel free to share files. I can start immediately and deliver a stable working prototype quickly. Best regards, Md Toriqul Islam.

@gtssoftindia

Let's get started right now. Do you have a quick time to discuss in more brief about your project on a call? I assure you that you will get a secure, scalable, and 100% bug-free Android/iOS app where you will get all kinds of features. I am always looking for a long-term relationship, and I could be the one-stop solution in terms of design, development & QA, so you don't have to search for a new employee for every new project. I can spend at least 40 hours/week on your project (the project will be completed on time). I have been in this sector for like 5+ years now and am pretty experienced in creating apps with using the, Swift, React Native, Laravel, PHP, and Node.js. I am equipped to develop apps using these languages in all industries. Well-versed in in-app purchases, Machine learning, AI solutions, Dark Mode, Siri, Memoji, Real-time tracking, Multilinguality, Live Streaming, Photo/Video Editing, Voice Search, Push Notifications, User Authentication, User Profile Creation, Location, Chat, Map/social media/Payment Integration. Apart from that, I possess great familiarity with UI design principles, patterns, and best practices, Android Architecture Patterns (MVP, MVVM, MVI), REST (Retrofit, OkHttp, WebSockets), and Strong knowledge of Android SDK, different versions of Android. I look forward to the great opportunity to work with you. Best Regards

@mascotindia123

Hello, I can develop the Android split-screen application for your smart mirror / hairstyling prototype and integrate your existing tracking system. Work includes: Figma to Android UI conversion (16:9 layout) Screen navigation implementation Split-screen setup (video playback + USB webcam feed) UVC camera integration (Camera2/USB API) Integration and adaptation of your existing tracking code (MediaPipe / YOLO / PID) Camera overlay and auto-zoom support Deliverables: Android Studio source code APK for testing Setup instructions (installation, webcam connection, usage) I will focus on stable camera performance and reliable integration for a working prototype. Ready to start immediately. Warm regards, Harpreet Singh

@Shariqblue

Hi, I can help complete this Android prototype and integrate the existing camera tracking system with the new USB webcam flow. I have experience building Android apps from Figma, working with camera based features, video playback, native Android Studio projects, and integrating existing AI/computer vision logic into a stable app structure. For this project, I would focus on getting the prototype working cleanly rather than overcomplicating the build. My approach would be: Convert the 16:9 Figma screens into a responsive Android UI Implement smooth screen navigation Build the tutorial screen with split view Left side tutorial video playback Right side live USB webcam feed Keep the webcam off until the tutorial screen is opened Review the existing tracking project and adapt it for USB webcam input Integrate MediaPipe face tracking, YOLO fallback, smoothing/PID logic, and overlay display where required Package the final Android Studio source code and APK Provide clear setup instructions for tablet install, webcam connection, and app usage I understand the priority here is a clean working prototype with stable camera behavior, proper screen flow, and successful reuse of the existing tracking code. I can review the previous developer’s files, identify what needs to be adjusted for the USB webcam, and complete the integration in a practical way. Ready to start immediately once the Figma, tutorial video, tracking PDF, setup guide, and existing project files are shared.

@SmartCodeDev

Hey, I can help with this prototype and I’m comfortable working with Android camera integrations, real-time video handling, and adapting existing tracking systems into a stable app flow. The split-screen tutorial + live tracking setup is clear, and since the backend is not required, the focus can stay fully on performance and integration stability. I can convert the Figma screens into Android layouts, handle the USB webcam/UVC integration, optimize the tutorial screen behavior, and adapt the existing MediaPipe/YOLO tracking pipeline to work with the new camera input. I’m also comfortable working with Camera2/OpenCV/TFLite-related integrations where needed. Since this is urgent, I can start immediately after reviewing the existing project files, tracking docs, and webcam requirements. I’ll provide the Android Studio source, APK, and clear setup instructions for installation and testing on the tablet. Waiting for your response

@ashinnd84

Hello there, we are a team of Senior Full Stack Java, Automation developers and we can do this project in no time. Thanks Ashish Kumar.

@Shaiwan

Hi, I can jump into this immediately and help complete your smart mirror Android prototype with stable UI implementation, USB webcam integration, and adaptation of the existing tracking pipeline. What I can handle: • Convert Figma screens into responsive Android layouts • Maintain fixed 16:9 kiosk/tablet experience • Implement smooth screen navigation • USB (UVC) webcam integration in Android • Split-screen tutorial + live camera layout • Video playback optimization • Integration/adaptation of your existing tracking system • APK generation + full Android Studio source project • Setup/install documentation for tablet + webcam workflow Experience relevant to your project: • Android Studio (Kotlin/Java) • Camera2 + UVC camera integration • MediaPipe face/body tracking • TensorFlow Lite / OpenCV integrations • Real-time camera rendering pipelines • Performance optimization for kiosk-style Android systems Tracking integration approach: * Review existing G09 tracking implementation * Adapt tracking input pipeline to USB webcam feed * Preserve smoothing/PID logic * Optimize camera lifecycle (off unless tutorial screen active) * Validate stable real-time rendering and tracking overlay Priority focus: * Functional working prototype * Stable camera/tracking behavior * Smooth split-screen rendering * Fast turnaround for urgent delivery Deliverables: • Android Studio project • Signed APK • Integration/setup guide • Webcam connection instructions thank you

@mobiwebsolutions

✋ Hi There!!! ✋ THE GOAL OF THE PROJECT:- BUILD AN ANDROID SPLIT SCREEN HAIRSTYLING PROTOTYPE WITH LIVE USB CAMERA INTEGRATION AND VIDEO PLAYBACK I have carefully reviewed your requirement to convert Figma UI into an Android app with split screen layout showing tutorial video and live webcam feed with existing tracking code integration. I am best fit because I specialize in Android camera systems and real time multimedia integration. 1 Android Studio implementation of 16:9 UI with smooth navigation between screens 2 USB UVC webcam integration with Camera2 API and controlled activation on tutorial screen 3 split screen layout combining video playback and live tracking overlay integration I will provide UI design, database management, testing, and full source code delivery at project completion with APK and setup instructions. I have 9+ years experience as full stack developer and have built similar Android camera and AI tracking applications. Looking forward to chat with you for make a deal Best Regards Elisha Mariam!

@muhammadsaad90

Hi, I can help you quickly complete the Android prototype and integrate the existing tracking system with the USB webcam workflow. I have experience with Android Studio, Camera2/UVC integration, MediaPipe-based tracking, split-screen video layouts, and adapting existing AI/tracking pipelines for new camera hardware. I can convert the Figma screens into a responsive 16:9 Android app, integrate the tutorial/video + live tracking view, optimize camera activation only on required screens, and deliver the full Android Studio project, APK, and setup documentation for deployment on your tablet environment. Since this is urgent, I’m available to start immediately.