AI-Powered Clothing Size Finder App Development

@pinkeegupta

Hello I will be able to help you. Please message me so that we will have detail technical discussion. I have 9+ years of combined experience in Mobile Application development, Website development, Desktop application development, 3rd party Artificial Intelligence api, AR/ VR, Chatbot, Blockchain- Cryptocurrency, CRM & ERP, Game Development and any other Software development. I am having expertise in Native on Android Java, kotlin and IOS Swift, and For Hybrid Cross platform on Flutter Dart & React- Native, and for web and backend on react js and node js, Python Django. Please consider me and initiate a chat for further detailed discussion. Regards, Anju Logical Soft Tech Pvt Ltd, Indore(M.P)

@designer69hub

With a passion for fashion technology and data analysis, I am convinced I would be a great fit for your AI-based clothing size finder app project. My 8+ years of experience as a graphic and front-end designer have equipped me with the skills necessary to develop an intuitive, responsive UI using React, Vite, JavaScript/TypeScript, HTML/CSS. Combining my expertise in logo design, illustration, user experience methods from Figma and other design tools with my technical prowess in coding efficient algorithms to compare body measurements against predefined parameters, I can assure you timely delivery with no compromise on quality. Throughout my career, client satisfaction has been paramount to me thus I offer 2-3 revisions till your satisfaction without upfront payment. Trust me with your AI-Powered Clothing Size Finder App Development project; together we will revolutionize online clothes shopping by minimizing unnecessary returns through fitting recommendations based on body-size.

@TechizeBuilder

Dear Client, I read "AI-Powered Clothing Size Finder App Development" carefully and understand what you're looking to achieve with this Mern Stack Development project. My hands-on experience with JavaScript, Mobile App Development, Web Development, Frontend Development aligns directly with what you need. I've delivered similar Mern Stack Development work end to end — clean, scalable and on time — and I can share closely related samples and start right away. A few quick questions to get us started: 1. Do you have detailed requirements ready, or should we define the scope together? 2. What's your target timeline for the first working version? 3. Are there existing designs, code or systems I should build on? Thanks & Regards, Deepak

@FreeLancers360

Hello, I just finished reading your brief for "AI-Powered Clothing Size Finder App Development", and I'm genuinely excited about the chance to work on it. My goal isn’t simply to finish the task, but to give you real, lasting value for every bit you invest in it. From your brief I can see this involves web app, react, frontend — all areas we handle in-house. We specialise in JavaScript, Mobile App Development, CSS, HTML, which lines up directly with what you need. How we'd approach it: - Map out the scope, pages and data models up front - Build the frontend and backend with clean, scalable code - Test across devices and browsers, then deploy - Hand over with documentation and post-launch support Delivering at the scale of 17 body is no problem for us — we're set up for volume without dropping quality. From kickoff to final handover, I’ll keep things transparent, on schedule, and squarely focused on your goals. Send over any references you have and I’ll come back with a clear plan and milestones. Best regards, FreeLancers360 Let’s connect in chat and get started — message me anytime and I’ll reply right away!

@Hrolgar

How much variance do you need the size call to tolerate across different body types before a height-only calibration starts drifting? That's the part worth getting right here. MoveNet on WebGL gives you the 17 keypoints client side, no training and no GPU needed, so the pose detection itself is largely solved. The real work is turning shoulder to hip to ankle pixel distances plus one entered height into proportions you can trust, then mapping those proportions onto a size chart without every user needing to stand the exact same distance from the camera. I'd anchor the pixel to real world ratio off a known body segment against the entered height rather than trying to estimate camera distance separately, then keep a confidence band around the recommendation so borderline cases get flagged instead of guessed. 37500 INR over 6 days is my starting number off the brief. It'll move once I know whether the size mapping needs to match an existing brand chart or gets built from scratch. M1: pose pipeline plus calibration logic, webcam capture, MoveNet integration, keypoint to measurement math. 12375 INR, 2 days. M2: size mapping and accuracy testing across a spread of body types. 15000 INR, 2 days. M3: virtual fitting overlay on the React/Vite frontend, handoff. 10125 INR, 2 days. Do you already have a size chart mapping measurements to S/M/L for the brand, or does that need building too?

@Tarang78

I have gone throught the smartfit zip document, we are ready to ork and complete it as per your requirment. I am online - lets dsicuss on chat

@guptakishan805

As an experienced Full Stack Developer with a strong background in both frontend and backend technologies, I bring the perfect blend of skills necessary to turn your vision for SmartFit into a reliable and efficient reality. With deep expertise working with React, JavaScript, TensorFlow, and web camera technologies, I'm confident in my ability to construct an AI-powered system that precisely measures body dimensions and makes clothing size suggestions based on those outputs. Over the past five years, I have delivered numerous complex projects involving Artificial Intelligence (AI) integrations and web-based applications. One of the key reasons I'm particularly excited about your project is because I've worked substantially with computer vision ─ including body detection and pose recognition technologies ─ which aligns perfectly with your vision for SmartFit. My ability to successfully employ critical TensorFlow libraries such as MoveNet for real-time pose estimation will play a pivotal role here. Moreover, as someone who has consistently delivered quality work while fostering memorable relationships with clients, I'm confident that my focus on clear communication, attention to detail, and a proactive approach will ensure that we achieve your goals seamlessly. Let's connect and discuss how we can transform your vision into a wearable reality!

@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 Python, and similar tools. I have worked with pytorch, and tensorflow to develop DL models, .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

@rajeshrolen

Hi, At first glance, this looks straightforward but there’s usually one part that causes issues later. Happy to share a quick plan if you're open to it. Regards, Rajesh

@UmairBuildsAI

Turning 17 tracked keypoints into an accurate size recommendation is where the real challenge sits, translating raw skeletal proportions into something meaningfully calibrated against real sizing charts, rather than just detecting the pose itself. Relevant work includes IQRAi and Prodexia, both built with careful attention to real-time interactive features and clean frontend architecture. Portfolio: https://www.freelancer.pk/u/UmairBuildsAI I'd start by integrating MoveNet with the WebGL backend for real-time keypoint detection in the browser, then build the measurement estimation logic using keypoint distances and user-provided height for scale calibration, followed by the size recommendation engine mapped against sizing parameters, wrapping up with a clean, responsive React interface for the full virtual fitting experience. Let's connect on a call and discuss. Best Regards, Umair

@bhargav922002

Hello, I'm Bharghav, and I bring over 10 years of experience in matching job skills, particularly in web development. I specialize in JavaScript and HTML, which aligns perfectly with the requirements for SmartFit. I understand that you're looking to develop an AI-powered web application that helps users accurately find their clothing sizes using live camera feeds and pose estimation technology. My approach will involve utilizing TensorFlow MoveNet to implement real-time body keypoint detection, ensuring an efficient and user-friendly experience. I will create an interactive frontend using React and Vite, integrating the necessary computer vision models for seamless body measurement estimation and size recommendations. This will enhance the online shopping experience and significantly reduce return rates. Let’s start a chat so we can delve deeper into your vision for SmartFit and discuss how I can help bring this innovative idea to life effectively. Best regards, bhargav922002

@olagunjud4

Hi, Your SmartFit concept requires more than a standard web build—it needs a strong understanding of real-time computer vision, pose estimation, and user-facing product development. I can help develop the core experience around TensorFlow MoveNet, including camera integration, real-time 17-keypoint detection, body-proportion analysis, measurement estimation, and the sizing recommendation engine. I’ll also build a clean, responsive interface that makes the process simple for users, while prioritizing performance, browser compatibility, and a scalable architecture. I can take the project from the technical implementation through testing and refinement, ensuring the final application is reliable, intuitive, and ready for real-world use. I’d be glad to discuss the current prototype, technology stack, and the specific stage you’re at.

@EthanKCK

Ethan here, from South Africa. Your project immediately caught my eye. I'm really excited to partner with you. Developing SmartFit's AI-powered clothing size finder app aligns perfectly with addressing the significant fit issues users face in online shopping. By utilizing computer vision and real-time pose estimation, I would focus on ensuring accurate body measurement estimations through precise landmark detection with MoveNet. This would entail refining the algorithm for better user interaction, making the sizing process intuitive and user-friendly. To enhance the workflow, I would implement thorough testing of the camera feed integration and body detection to ensure reliable results across various body types. Regular feedback loops with users during development would help fine-tune the application, ensuring high standards are met consistently. What you truly need is not just a functioning app, but a solution that instills confidence in users while shopping for clothing online. Please feel free to reach out so we can connect and further explore how I can contribute to your project's success. Kind regards, Ethan

@DeanSaliegh

I can help create an engaging AI-powered clothing size finder app that transforms online shopping by accurately recommending sizes based on users' body measurements. The blend of real-time pose estimation and user-friendly interface you described is fascinating. I'm particularly excited about the use of TensorFlow MoveNet for fast and precise body detection, as that aligns perfectly with my skills in web development and AI integration. I recently developed a community events web application that includes advanced features for user interaction and responsive design. This experience has sharpened my ability to create intuitive, engaging user experiences. Let’s chat about how we can make SmartFit a reality. At the very least, you’ll get a free consultation where we can discuss the project in detail. Regards, Dean

@lakshmieS26

I’m an AI + full-stack engineer experienced in building production AI applications using LLMs, FastAPI, React, and Python. I can handle both the AI integration and complete web application development.

@isabellasteyn02

I DON'T COMPETE ON PRICE. I COMPETE ON RESULTS. In a recent project, I developed a similar AI-powered application for a fashion retailer, which increased user satisfaction by 40% and reduced return rates by 30%. This success stemmed from leveraging real-time pose estimation and advanced machine learning techniques, similar to those proposed for SmartFit. With over five years of experience in building AI applications, particularly in e-commerce, I specialize in creating user-centric solutions that enhance shopping experiences. My background in computer vision and web development equips me to deliver a seamless, interactive interface that meets your project's requirements. I understand that SmartFit aims to mitigate the uncertainty in online clothing purchases by providing accurate size recommendations. By implementing TensorFlow MoveNet for real-time analysis and ensuring a responsive, engaging UI, I will ensure users can easily find their ideal clothing size. My focus is on execution, transparent communication, and fostering long-term success for your application. I am eager to bring your vision to life. The difference between an average result and an exceptional one is usually decided before the work even begins. Regards, Isabella

@aydont

YOU ONLY NEED ONE DEVELOPER WHO GETS IT RIGHT THE FIRST TIME. HERE'S WHY I'M THAT DEVELOPER. I recently helped a client transform their idea into a modern, high-quality digital solution that was both reliable and easy to scale. I'd love to do the same for you and deliver something that's built to perform from day one. I specialize in creating innovative applications for users, especially in the e-commerce space. With a focus on clean, professional, user-friendly interfaces, I understand the importance of seamless interactions and integrated experiences. We have 75+ 5-star reviews on similar projects and rank in the top 1% among 75 million users. I'd love to chat about your project! The worst that can happen is you walk away with a free consultation. Regards, Aydon.

@mikhailivanovai

MoveNet in the browser is the right call here. It runs client side, so body images never leave the device, and latency stays low enough for a live feed. The hard part is not the keypoints, it is turning them into measurements. Pixel distance between shoulders means nothing without scale, so you need a reference: known camera distance, a calibration object, or the user entering their height. Without one the size output drifts. Pose angle matters too, a slight turn shortens shoulder width and pushes someone a size down. So I would build it with a guided capture step, a confidence check that asks for a retake, and a size chart per brand rather than one universal table. Price 30000 INR, 14 days for the working web app. Do you have size charts to map against, or should it learn from your returns data?