Cross-Platform Object Detection AI

@softsolution2000

I am confident that my skills in JavaScript, Python, Software Architecture, Machine Learning (ML), and HTML5 are a great match for the "Cross-Platform Object Detection AI" project. The budget can be adjusted after discussing the full scope, and I am committed to working within your budget. Please review my 15-year-old profile to see my extensive experience. I am eager to discuss the job details and demonstrate my commitment by starting tasks without being hired. Looking forward to hearing from you.

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@koolvishruth

Hi, I have prior experience in it. I have worked with more than 112+ clients here . Thank you for considering my proposal for your project. With over 10 years of real-world experience and freelance work , I am confident in my ability to assist you. I have carefully reviewed your project requirements and am keen to discuss further details with you.

@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

@Azursol

Dear , I am a seasoned AI developer with expertise in JavaScript, Python, Software Architecture, and Machine Learning. I have successfully completed projects involving AI Model Development, Object Detection, and AI Development. I understand your need for a production-ready object detection model that can seamlessly run across multiple platforms. My approach involves leveraging TensorFlow for optimized builds on mobile, WebAssembly/WebGL for web implementation, and a lightweight desktop application with GPU support. I am committed to delivering trained model files, inference wrappers, detailed build & deployment instructions, and accurate object detection demos for each platform. I prioritize reliable delivery and transparent communication throughout the project. I am eager to discuss how we can bring your vision to life. Please feel free to reach out to discuss this exciting project further. Best regards,

@waqaswebmaster

I can deliver one object-detection model with a single training pipeline, then package it cleanly for iOS, Android, Web, and Desktop so behavior stays consistent across platforms. Plan: train a strong baseline (YOLOv8 or PyTorch-based) with reproducible scripts (configs, seeds, versioned deps), then export once to a common format (ONNX) and generate target builds: Core ML for iOS, TFLite/NNAPI for Android, TFJS/WebGPU (or ONNX Runtime Web) for browser, and a desktop wrapper using ONNX Runtime with GPU/CPU fallback. Each platform gets a small demo app showing camera/live detection + sample images, plus performance targets and accuracy checks. Deliverables: full training code + trained weights, export scripts, inference wrappers per platform, and step-by-step build/deploy docs so you can reproduce locally. To lock the right architecture, I’ll need your dataset format (COCO/YOLO) and whether the model must run on live camera at a specific FPS on mid-range devices. Best regards, Waqas Ahmed

@ixorawebmob

Hello, I’ve gone through your project details and this is something I can definitely help you with. I have 10+ years of experience in mobile and web app development, with a strong focus on AI and machine learning projects. Leveraging frameworks like TensorFlow and PyTorch, I specialize in building high-performance, cross-platform applications. For your object detection model, I would ensure it runs smoothly and efficiently across iOS, Android, web, and desktop. I will start by reviewing your requirements, selecting the most suitable framework, and then developing a production-ready model with optimized builds that meet your specifications. You can expect a well-documented delivery that includes all model files, scripts, and deployment instructions. Here is my portfolio: https://www.freelancer.in/u/ixorawebmob I’m interested in your project and would love to understand more details to ensure the best approach. Could you clarify: 1. What specific target object classes are you focusing on? 2. Are there any specific timelines you have in mind? Let’s discuss over chat! What specific target object classes are you focusing on? Regards, Arpit Jaiswal

@Techroj

Dear Client, Greetings!! With 7+ years of experience, we specialize in delivering scalable, high-quality digital solutions tailored to clearly defined business needsI have gone through the project description, and found that all of the mentioned requirements fall over my expertise, as I have hands on experience on python, AI/ML, Data Science, software building, etc. This scope fits my expertise well. I can deliver a single, production-ready object detection model trained on your labeled data and deployed consistently across mobile , web, and desktop (Python app with GPU acceleration and CPU fallback). I’ll provide optimized builds for real time performance on mid-range devices, fast web load times, complete training and conversion scripts, platform-specific inference wrappers, reproducible build instructions, and simple demos for each platform to validate accuracy and speed. Once you share the dataset and target classes, I can confirm timelines and any additional requirements. I have the experience of working with 4 giant tech companies, including freelancing on upwork , fiverr and freelancer. Looking forward for your positive response!! Best regards, Rojan U.

@forsovateam

We will develop, train, and optimize a single object-detection model that runs consistently on iOS, Android, modern web browsers, and a lightweight desktop application using a framework chosen for portability and performance. Our team will provide trained model files, all training and build scripts, platform-specific inference wrappers (mobile optimized builds, WebAssembly/WebGL or TensorFlow. js, and a small desktop executable or Python fallback), step-by-step deployment instructions, and simple demos to validate accuracy and realtime behaviour. We will iterate on accuracy, latency, and model size against your targets and ensure reproducibility and documentation for handoff.

@chiragardeshna

Hi there, I am a strong fit for this scope because I have delivered a single object detection model deployed consistently across mobile, web, and desktop environments. I have direct experience training detection models on client datasets and exporting them into TFLite, Core ML, ONNX, and browser runtimes without accuracy drift. I work with PyTorch and YOLO-based pipelines, reproducible training scripts, and platform-specific inference wrappers with GPU acceleration and CPU fallback. I reduce risk by locking one canonical model, benchmarking speed and memory early per platform, and documenting every build step so results are repeatable. I am available to start immediately once the data and target classes are shared. Regards Chirag

@Android69

Hello! You need a cross-platform object detection model optimized for mobile, web, and desktop with consistent accuracy. I’ll build, train, optimize, and package a high-performance solution using the best framework suited for your needs. Deliverables will include trained model files, inference wrappers, reproducible scripts, and platform demos. I can start immediately and ensure accuracy, speed, and smooth deployment.

@jonhw5

Hello, thanks for posting this project. I've read the explanation of your project carefully and thought it's the great fit for me. Because: I specialise in cross-platform machine learning model deployment, consistently delivering performant computer vision solutions optimised for iOS, Android, web, and desktop environments. I'm highly experienced with TensorFlow, PyTorch, YOLOv8, ONNX, and model conversion for platform-specific runtimes like Core ML and TensorFlow Lite. I've successfully implemented production-ready object detection pipelines with custom training, robust accuracy evaluation, and lightweight inference wrappers for multiple targets. My workflow includes reproducible training scripts, detailed platform packaging, and user-friendly validation demos. I prioritise accuracy, latency, and model size to ensure the same architecture can power all platforms seamlessly while delivering fast, reliable detection. Step-by-step documentation and clean code are standard in my deliverables—I will make sure you can easily build, run, and deploy the model and its demos on your own, without guesswork. Would you prefer a single unified model file converted to each platform, or do you require custom optimisations per target device for maximum speed? Looking forward to hearing from you. Warm regards, Vitalii.

@xoheruox

Hello, Now Meta is your company, leveraging a decade of proven expertise in Matching Job Skills. I have attentively reviewed the project’s requirements for the Cross-Platform Object Detection AI. Our team will follow a structured process to deliver the desired outcomes. We will begin by selecting the most suitable framework based on your needs, ensuring the model is optimised for each platform. Our approach will focus on achieving real-time speeds on mobile, fast loading times on the web, and efficient performance on desktops. We will provide trained model files, inference wrappers, detailed build & deployment instructions, and demos to showcase accurate object detection. I invite you to open a chat for a more personalized discussion to further explore how Now Meta can assist in moving this project forward. Regards, Now Meta

@debashishk7

Hello GdevDataScience, I'm Debashish Kumar, a seasoned professional with over 10 years of experience in JavaScript, Python, and object detection models. I understand your requirement for a cross-platform object detection AI. I will develop a production-ready model that seamlessly integrates with iOS, Android, web browsers, and desktop applications to ensure consistent accuracy and behavior across all platforms. With my expertise in SEO and experience in working with local and service-based businesses to enhance rankings, organic traffic, and inbound leads, I am confident in delivering sustainable results for your project. Let's connect in the chat to discuss this project further. Thanks, Debashish Kumar

@tanithk

Hey — saw your post about building a cross-platform object detection AI. Biggest pain point here is usually getting a model that’s both accurate and lightweight enough to run smoothly on all target devices without lag or crashes. Quick question before I suggest an approach: What platforms are you targeting specifically (e.g. iOS, Android, web, desktop), and do you already have a preference for TensorFlow Lite vs ONNX/CoreML? I’ve shipped object detection models into production before, including packaging and optimization so they run reliably on mobile and edge devices. If you share any current codebase, sample videos/images, or a short spec, I can review it and tell you what’s realistic for performance and deployment.

@francentimothyc

Hello I’m a Python backend developer with hands-on experience building production applications using Django and FastAPI. In one project, I used Django to build a full backend for a marketplace platform, including user authentication, role-based access, admin dashboards, and order management using the Django ORM and PostgreSQL. In another project, I used FastAPI to build a high-performance API for a data-driven application, where async endpoints, Pydantic validation, and background tasks were used to handle real-time requests and long-running jobs efficiently. I’ve designed clean database schemas, optimized queries, and handled migrations to support growing datasets without performance issues. I’ve also integrated third-party services such as Stripe for payments and external APIs, focusing on proper error handling and secure data flow. For deployment, I containerized these applications with Docker, set up CI/CD pipelines, and deployed them to cloud environments to ensure reliable releases. I enjoy using Python to build backend systems that solve real problems and scale smoothly as the product grows. Best regards, Francen Timothy N. Castro

@InWebTechno

Hello GdevDataScience, I am Inweb Technologies, a seasoned professional with over 10 years of experience in Python and AI development. I understand the requirements of your project for a cross-platform object detection AI model. I am confident in my ability to build, train, and package the model for iOS, Android, web, and desktop applications while ensuring consistent accuracy and behavior across all platforms. With expertise in digital marketing and web development, I specialize in creating optimized websites and executing result-driven marketing campaigns to generate leads and sales. I would love to connect with you in chat to discuss your project further. Best regards, Inweb Technologies

@lovishjaiswal12

Hi, I can build and package a reliable object detection model that runs smoothly across mobile, web and desktop. I’ve worked with Python and common ML frameworks, so training, optimization and deployment will be handled carefully. I focus on getting good accuracy while keeping the model lightweight for real use. I document steps clearly so you can reproduce and maintain it later. I communicate simply and meet deadlines. Ready to start and discuss your dataset and targets.

@serhiih25

??? Let’s make this project something we’re both proud of in 2026!!! ??? Guaranteed timeliness, unparalleled expertise, and a wealth of experience - these are the fuels that power Gondar Tech, and I want to extend them to producing your cross-platform object detection AI. My profile attests to my ability to deliver and deploy scalable AI models skillfully—I don't just create machine learning models; I engineer solutions. With this project requiring TensorFlow, PyTorch, YOLOv8 (or alternatives), I have the wherewithal to utilize their nuanced capabilities effectively. Lastly, vision matters. Your project speaks about creating objects' accurate detection across various platforms for better user experiences. And that's what drives me - making Artificial Intelligence more practical and accessible for businesses across the world both from strategic and execution level by bringing innovative solutions to life. Let's discuss timelines so we can commence on a journey of creating an efficient cross-platform object detection AI together!