Android Native (Kotlin) Developer with YOLO Experience – Bug Fix (Long-Term Opportunity)

@mrresearcher99

Hi there, I’ve reviewed your Flutter app requirements and would love to help. With 5+ years of experience in cross-platform development, I specialise in clean UI, smooth performance, and robust API integration. I’ll begin with clear planning, share regular progress updates, and ensure the app is fully tested before launch. Let’s connect to discuss your vision — I’m ready to get started! Best, Bhargav Flutter Developer | Android & iOS Expert

@sheikhasad2662

Hi, I have solid experience fixing and stabilizing Android native applications that integrate on-device AI models, including YOLO-based object detection pipelines in Kotlin. I understand that this is not a new build and that the main goal is to identify and resolve bugs related to the current model integration and overall app behavior, while ensuring stable and reliable performance after the fix. I am comfortable working through secure remote access on your machine and debugging directly within your existing Android Studio setup. My process focuses on inspecting model loading, preprocessing and post-processing pipelines, threading and memory usage, camera frame handling, and inference performance to quickly locate integration or implementation issues and resolve crashes, incorrect detections, or performance drops. If the initial task is successful, I am available for long-term development and maintenance of your ongoing product, including model updates, performance optimization, and feature improvements. I can start immediately and work closely with your team to minimize disruption and deliver a stable build. Regards, Muhammad Asad Ali

@AbdelrahmanKHH

YOLO , I’ve already implemented Yolo and Ai Models in previous Android projects let`s chat for more details

@YousefAiman

Hello, I'm a professional Software developer with 5+ years of experience building Android apps and also working with Python for AI development. I built a large-scale Face recognition system for mobile using Kotlin and Python, and ensured accuracy and great performance. I have a good understanding of YOLO model and ready to learn more about it and implement any fixes the app requires. Just message me when you to get started I'm certain that you will be happy with my work Thank you for your time and take care

@pluralcode16

YOLO: An Eagle-Eyed Solution for your App Hello and thank you for considering me for this critical bug fix regarding YOLO integration. With extensive experience and a proven track record, I believe I can be your go-to person for this error-riddled endeavor. My proficiency in Android Native development and specifically Kotlin will be directly lend themselves to resolving these issues that are currently plaguing your app. I understand the importance of YOLO's role in your application as an object detection model, not only from an academic perspective but also from practical hands-on experience. Over my years of working with Mobile App Development, I have encountered several hurdles and bugs to surmount many times over. Not to mention, I am also competent with AI-based processing within mobile apps which, undoubtedly, is crucial to this project. Rest assured that my approach will be meticulous as I work on identifying and remedying the bugs, ensuring a stable performance all along. If given the opportunity to resolve this first task efficiently, it'll only testify my capabilities and suitability for the entire long-term development project as well. More than just resolving the issues, I aim to provide you with sustainable solutions that ensure optimal functioning of your app. So let’s embark on this journey together because when it comes to YOLO integration bugs, you can count on me for an eagle-eyed solution!

@DavidGrath

YOLO I have great experience working with Android and Kotlin with Compose. In order to shorten the feedback loop, I can also help add OpenTelemetry to the app to enable remote viewing of logs, crash reports, and API calls

@shibbuquadir

Known for consistently crafting high-quality, reliable Android native applications, our team at Paper Perfect is exceptionally proficient in Kotlin and boasts robust expertise in YOLO implementation. With deep-seated knowledge of AI-based mobile development, we can accurately identify and fix bugs, ensuring impeccable performance and stability for your app. We understand that fixing code on your computer poses a challenge; however, our developers are adept at quickly acquainting themselves with unfamiliar environments to deliver results. Moreover, equipping us with long-term opportunities like this one will allow us to truly demonstrate our capability to elevate your product. At Paper Perfect, it is our mission to bring your vision to life impeccably, timely, and cost-effectively. By leveraging our skills in Android development and meticulous approach to problem-solving, we can ensure an uninterrupted and bug-free experience for users of your application. Let's embark on this journey together and transform your app into something truly remarkable

@InjectAI

I’m an experienced Android Native developer with solid expertise integrating YOLO models into Kotlin-based applications. Since this is a production bug-fixing task, I will focus strictly on identifying and resolving issues related to model loading, preprocessing, tensor shapes, inference output handling, and app lifecycle conflicts. I’m comfortable working via remote access on your system. I will debug directly in your environment, review logs, profiler output, and model configuration to isolate the root cause. Common YOLO Android issues include incorrect TFLite/ONNX conversion, input size mismatch, threading problems, memory leaks, or GPU/NNAPI misconfiguration. I will fix the integration cleanly and ensure stable, real-time performance without crashes. After resolving the issue, I will validate detection accuracy, FPS consistency, and overall app stability to ensure production readiness. I’m also open to continuing long-term development once stability is confirmed. .......... Deliverables .......... • Root cause identification • Fixed YOLO integration • Stable Android build • Performance validation • Brief fix summary .......... Tech Stack .......... • Kotlin (Android Native) • YOLO (TFLite / ONNX) • TensorFlow Lite / PyTorch Mobile • Android Studio & Profiler Visit my profile for similar AI + Android projects. Ready to start immediately via remote access.

@bharatech

Hello, I am Bharat Tech, a Mobile App Developer with over 6 years of experience in Android and Kotlin development. I have worked on various projects involving AI integration and object detection models. I understand the critical bugs in your existing Android application related to YOLO integration and AI processing. I am confident in my ability to identify and fix these issues, ensuring stable performance post-fix. I would like to connect with you in chat to discuss the project details further and provide a professional solution to meet your requirements. Best regards, Bharat Tech

@mfilipovacfl

YOLO Hi, I read your post carefully — you need an experienced Android Native (Kotlin) developer to debug and stabilize an existing app that integrates the YOLO object detection model. The issues relate to YOLO integration and general app behavior, and remote access will be provided for on-site fixes. I have hands-on experience with Kotlin-based Android apps using YOLO for real-time object detection. I’ve troubleshooted model integration, frame preprocessing, camera feed handling, and inference pipelines to resolve performance issues and unexpected crashes. I also ensure smooth AI processing on-device without impacting overall app responsiveness. For your task, I’d: • Debug the YOLO integration to identify and resolve model inference or preprocessing errors • Optimize the camera feed and object detection pipeline for stable performance • Test the app thoroughly to ensure the fixes hold across all supported Android devices Quick question: is the app using a custom YOLO model or a pre-trained version (YOLOv5/YOLOv8), so I can plan the fix accordingly? Best regards, Mihailo

@karancoderics281

Hi, I’ve worked on Kotlin-based Android apps with on-device AI/model integrations, including handling TensorFlow/YOLO-style object detection pipelines, model loading issues, threading, and performance optimization. I understand common problems like incorrect model binding, input/output tensor mismatch, camera frame processing delays, and memory leaks affecting stability. I’m comfortable debugging via remote access and systematically isolating whether the issue is in model integration, preprocessing/postprocessing logic, or Android lifecycle handling. My focus will be stabilizing detection flow and ensuring smooth real-time performance. I’m available to start immediately and can commit to long-term development after resolving the current issue.

@hxptechnologies

Hi there ?, I’ve carefully reviewed your project titled "Android Native (Kotlin) Developer with YOLO Experience – Bug Fix (Long-Term Opportunity)" and can confidently deliver a production-ready solution with clean UI and smooth performance. Let's discuss your specific requirements — I can start right away!

@crismicheal

YOLO Recently, I helped debug an Android app with AI model integration, improving stability by 30 percent under similar remote access conditions. I bring 5+ years of hands-on experience and a track record of delivering high-quality, practical solutions. I keep projects organized, communicate clearly, and ensure deadlines are met. My goal is simple: efficient execution and a result you’re proud of. I can start right away. While I am new to Freelancer, I have tons of experience and have done other projects off site. I would love to chat more about your project! Regards, Cristiano Ferreira