AI Padel Coaching Mobile App MVP – React Native / Flutter

@infowider11

⭐️⭐️⭐️ AI-Powered Padel Coaching App (Mobile MVP + Scalable Architecture) ⭐️⭐️⭐️ Hello, I checked JD and you want — a scalable AI-powered padel coaching platform with mobile apps, video analysis workflows, booking system, coach feedback, and AI integration designed for future startup growth — Kl * Cross-platform mobile app (React Native / Flutter) * Secure user authentication & profile management * Video upload & cloud processing pipeline * AI-powered match analysis & feedback generation * Coach review & feedback management system * Booking calendar with Stripe payment integration * Progress tracking & performance history * Admin dashboard for users, videos & pricing * Scalable backend architecture (Firebase/Supabase/Node.js) * Modular AI-ready system for future expansion * Deployment setup for iOS & Android Let’s chat… Thanks

@irsolutions

With over a decade of experience in full-stack architecture and high-scale systems, I understand your goal of creating a cutting-edge AI coaching platform for padel tennis. Your project requires a developer with a strong background in backend development, video processing workflows, and AI integration, which aligns perfectly with my experience in delivering high-complexity solutions for over 1 million users in various domains like FinTech and AI/ML. For your Padel Tennis AI Coaching Platform, a strategic approach would involve leveraging Firebase for backend development, implementing efficient video processing workflows, and integrating AI insights via OpenAI or similar models. In a similar project, I successfully scaled a Telegram Mini App to serve a large user base, showcasing my ability to handle projects of this magnitude effectively. I encourage you to reach out so we can discuss how to best tackle the challenges of your project. Let's collaborate to create a scalable and innovative solution that meets your MVP requirements while laying the foundation for future AI expansion.

@shrec

Hi, This is exactly the kind of AI-driven product I specialize in. I have 10+ years building scalable SaaS platforms with React Native, FastAPI/Node.js, AWS, video workflows, and AI integrations. For your MVP, I’d recommend: • React Native + Supabase/FastAPI • AWS S3 + ffmpeg processing pipeline • OpenAI Vision-based analysis layer (modular for future custom AI) • Stripe + calendar booking architecture built for scale I can deliver a clean, production-ready MVP for iOS + Android with scalable backend architecture, AI feedback workflows, video uploads, booking, payments, and admin panel. Estimated MVP timeline: 6–8 weeks. One improvement I’d suggest: Build player “progress intelligence” early — tracking recurring tactical mistakes over time will become a major retention feature and future AI moat. I’d be happy to discuss architecture and execution details further. Best regards

@diektech

Hi - Elias here from Miami. The real challenge in building an AI coaching platform for padel tennis lies in processing video input and generating actionable insights in real-time. Many implementations fail due to inadequate video stream handling, leading to latency and poor user experience. The system must accurately analyze player movements and provide relevant feedback, requiring robust AI models and seamless front-end integration. Common pitfalls include neglecting scalability of video processing and reliable data pipelines. A microservices architecture could address these issues, allowing independent scaling of video processing and AI inference layers. Using Node.js for backend services and React Native for the mobile interface can ensure responsiveness while maintaining a smooth user experience. The implementation would follow an Input → Processing → Output model: user uploads video → processing engine analyzes movements → feedback is displayed on the app. Early decisions on AI model selection and video processing frameworks are critical, as they dictate performance and reliability. What specific metrics do you envision for assessing player performance in the AI coaching feedback loop? Looking forward to discussing this further.

@kamran2012

Good to see this project, I will deliver the mobile MVP — React Native app with video upload, AI-powered analysis via OpenAI Vision, coaching booking with Stripe, and a basic admin panel — all on a modular backend designed for future AI expansion. For the video pipeline, I will process uploads through a queue-based system — ffmpeg extracts key frames, sends them to a vision API with sport-specific prompts, and returns structured JSON feedback. This architecture lets you swap in a custom computer vision model later without touching the app or API layer. Questions: 1) Do you have a preference between Firebase and Supabase, or should I recommend based on your video storage and real-time needs? 2) Will coaches manage their own availability, or will admin set all slots initially? Looking forward to talking through the details. Kamran

@widuIT

Hello, I’d build this as a scalable mobile coaching MVP, with video upload, processing, AI-generated structured feedback, coach review, booking and payments designed as one workflow. For the MVP, I’d recommend React Native with Supabase/Firebase for auth, database and storage, plus a small Node/NestJS backend worker for video processing. Videos should be uploaded to private storage, processed asynchronously with ffmpeg/frame extraction, then sent to a vision-capable AI API for structured output: positioning notes, shot selection observations, tactical advice and 2–3 drills. The AI layer should be modular so future computer-vision models can replace or improve the first API-based version. Relevant fit: mobile/web product architecture, SaaS workflows, AI API integrations, file/video processing pipelines, booking/payment systems and admin dashboards. I’d keep Phase 1 focused on a working user loop: upload video, process, view report, receive coach feedback, book a session and pay via Stripe. One product suggestion: add coach validation/editing of AI reports from the start. It improves trust, avoids overclaiming AI accuracy, and creates a better coaching product. Nico – widuIT · Preferred Freelancer

@DeveloperStation

Hi, We’ve developed multiple MVPs with AI-driven features, including a product that analyzes videos to provide actionable insights for coaches and players. We also built a fully functional web app for coaches to manage their profiles, schedule sessions, and interact with players. We can use OpenAI’s Whisper API for audio transcription and Azure’s Video Indexer for video analysis, which can extract key moments and provide insights on player positioning, shot selection, and more. We can also integrate a calendar system to manage coach availability and allow players to book sessions directly. Let’s schedule a 10-minute call to discuss your project in more detail and see if I’m the right fit for your needs. I’m eager to learn more about your exciting project. Best regards, Adil

@ZohaibRoy

⭐⭐⭐⭐⭐ Build a Mobile-First AI Sports Coaching Platform for Padel Tennis ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements and see you're looking for a full-stack mobile developer. You have no need to look any further; Zohaib is here to help you! My team has successfully completed 50+ similar projects for mobile applications. I will create a scalable architecture for your AI sports coaching platform, incorporating video analysis, booking systems, and user feedback. ➡️ Why Me? I can easily build your mobile-first AI sports coaching platform as I have 5 years of experience in mobile app development, backend APIs, and AI integration. My expertise includes React Native, Node.js, and video processing workflows. Additionally, I have a strong grip on AI APIs and cloud storage solutions, ensuring a robust approach to your project. ➡️ Let's have a quick chat to discuss your project in detail. I'll showcase samples of my previous work, demonstrating my capabilities in mobile app development. Looking forward to discussing this with you in chat. ➡️ Skills & Experience: ✅ React Native ✅ Node.js ✅ Firebase ✅ Supabase ✅ Video Processing ✅ AI Integration ✅ Stripe Payments ✅ User Authentication ✅ Booking Systems ✅ Cloud Storage ✅ Data Analysis ✅ Modular Code Design Waiting for your response! Best Regards, Zohaib

@jcrbahia

Your focus on a scalable MVP with React Native, Node.js, and API-based AI video analysis aligns well with my experience in full-stack mobile platforms and AI integration pipelines. Here’s how I’d approach it: - Architecture: React Native for cross-platform mobile, Node.js + FastAPI for the backend (scalable to microservices later), and Supabase for auth/database. Video processing would use FFmpeg in a serverless worker (AWS Lambda or similar) to extract frames before sending to OpenAI’s Vision API, with results stored as structured JSON for future model upgrades. - AI Layer: Start with OpenAI’s GPT-4 Vision for frame analysis (positioning, shot selection) and prompt-engineer the output to match your feedback template. The pipeline will log raw API responses for later fine-tuning with custom models. - Booking System: Stripe Checkout for payments, a time-slot calendar (using React Big Calendar), and a simple assignment logic based on coach availability. Admin panel built with React + Supabase’s realtime features for live updates. I’ll deliver a production-ready MVP in 7 days with a focus on clean, modular code and documented APIs. The £950 covers the scope as written; we’ll refine the figure once we walk through the video processing volume and Stripe webhook specifics. Let’s jump on a 15-minute call to align on the AI feedback format and booking workflow edges.

@mahig47

Hello! As per your project post, you’re looking to build an AI powered Padel Coaching Mobile App MVP that combines video based performance analysis, coach feedback, booking management, and player progress tracking into one scalable sports coaching platform. The goal is to create a mobile first experience where players can upload match videos, receive AI driven insights, connect with coaches, and continuously improve their performance over time. My focus will be on delivering a scalable AI sports coaching platform, featuring: user registration and authentication, mobile video upload workflows, AI powered match analysis with structured feedback, frame extraction and backend video processing pipelines, coach feedback management, calendar based coaching session booking, Stripe payment integration, player performance tracking, coach assignment workflows, and a basic admin panel for users, videos, bookings, and pricing management. I specialize in Flutter and React Native development with scalable backend systems using Node.js, Firebase, Supabase, cloud infrastructure, and AI integration workflows, focusing on performance, secure media handling, video processing pipelines, and responsive user experiences. Let’s connect to review the desired coaching workflow, AI analysis expectations, booking structure, and future expansion plans so we can finalize the MVP scope and development roadmap. Best regards, Nikita Gupta.

@taimoorkhan311

Hello, I am a full-stack mobile developer with 4 years of experience in React Native, Node.js, and video processing workflows. I have a strong background in AI development and can provide professional solutions tailored to your project requirements. I have carefully reviewed your project description and am confident in my ability to deliver the AI coaching platform for padel tennis. With my expertise in React Native, Node.js, and AI integration, I am well-equipped to implement the core MVP features and technical requirements outlined in the job description. I have read the requirements and believe I can execute this project with precision. I am open to discussing further details in chat to ensure a successful collaboration. Best regards, Taimoor from Pixels Soft Please connect in chat for further discussion.

@Hubready

Hello! I am a US-based senior software engineer with extensive experience in AI and e-commerce platforms. I read your project description for the Padel Tennis AI Coaching Platform carefully and I’m excited to help you build this innovative mobile-first solution. With around 15 years of experience in PHP, JavaScript, Node.js, and AI development, I have the skills to deliver a robust platform that meets your vision. Could you please clarify the following questions to help me better understand the project? 1. What specific AI features are you envisioning for the coaching aspect? 2. Are there particular performance metrics or user engagement goals you aim to achieve with this platform? I have worked on similar projects, including a sports management app and an AI-driven fitness platform, which provided valuable insights into user engagement and performance analytics. My approach would include initial wireframing and prototyping, followed by agile development cycles to ensure we stay aligned with your goals. I take pride in clear communication and structured milestones, ensuring that the final product is both technically sound and user-friendly. If you’re looking for someone who truly understands the details and is committed to delivering quality, let’s chat! Best, James Zappi

@myGigs

Good morning. I'll build your padel tennis AI coaching MVP as a React Native app (iOS and Android) backed by a Node.js/Supabase API, with an ffmpeg video processing pipeline, OpenAI Vision for structured AI feedback (positioning, shot selection, drills), Stripe booking and payments, and a basic admin dashboard — all in a modular architecture designed to swap in a custom computer vision model later. Any must-have features I should prioritize for the first milestone?

@waqaswebmaster

Hi, this is a product-led MVP, so I would build it with React Native for iOS/Android, Node.js backend, PostgreSQL/Supabase or Firebase for auth/database, cloud storage for videos, ffmpeg-based frame extraction, Stripe for bookings/payments, and an AI-analysis layer kept modular so it can later move from API-based insights to custom sports models. For the MVP, I would separate the system into clear modules: user app, video upload/processing pipeline, AI report generation, coach feedback, booking/payment flow, and admin dashboard. The first AI version can use extracted frames plus structured prompt logic to generate positioning, shot selection, tactical advice, and drill recommendations, while storing the analysis in a clean format for future model improvement. I’ve worked with mobile app architecture, backend APIs, payment workflows, upload systems, and AI/API integrations, so I understand this is not just CRUD or UI work. One product suggestion: start with coach-reviewed AI reports rather than fully automated advice, because it improves trust early while still collecting structured data for future AI training.

@Mobilehead

Hello, I can build your mobile-first padel AI coaching MVP with scalable architecture and production quality. I have built production React Native apps and will use Node.js with Supabase or Firebase, AWS S3, ffmpeg for video, OpenAI vision APIs for initial analysis, and Stripe for payments. I can deliver the iOS/Android app, backend, video pipeline, AI feedback, booking, admin panel and deployment in 8–10 weeks for an estimated MVP budget of $35,000–$45,000, and I recommend adding automated drill suggestions and coach ratings to boost engagement. If this fits, I’m ready to start; thank you, Sherman.

@yuliussmayoru

AI sports coaching apps like this usually fall down when video upload, AI analysis, and booking are glued together quickly but not designed as one clean flow, so I’d start by shaping a simple, reliable pipeline first and keep the AI layer easy to upgrade later. For this MVP I’d lean toward React Native with Expo plus a Node or Supabase backend, mainly because it gives solid cross platform support, good Stripe integration, and straightforward video upload and storage handling. The way I’d approach it is to lock in four tracks early on auth and onboarding, video upload plus background processing with ffmpeg, AI feedback via a vision capable API that returns structured insights, and the booking and payment flow so coaches can actually be booked and paid. I’m comfortable working across mobile app, backend APIs, video processing, and AI integrations, and I try to keep the codebase modular so future features like better analysis models, coach tools, or more advanced progress tracking can be added without rewriting everything. One improvement I’d suggest from day one is a simple review queue where a coach can tweak or approve AI feedback before it hits the player, at least while the analysis layer is still new, so quality stays high as you iterate.

@ciss26

Hello, I hope you are doing well. I understand that you are looking to build a PADEL COACHING MOBILE APPLICATION, and I would be happy to help. I have extensive experience in designing and developing applications 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.

@Tanmoy236

Hi There! I specialize in full-stack mobile app development with 9+ years of experience building scalable React Native + backend systems, including video processing pipelines and AI API integrations for MVP-to-startup platforms. Here's how I can help: 1. Build React Native app (iOS/Android) for uploads, coaching, and progress tracking 2. Develop scalable backend (Node.js/Supabase) with clean API architecture 3. Implement video pipeline (upload → ffmpeg frame extraction → AI analysis via vision API) 4. Add booking system + Stripe payments + admin dashboard I design systems to scale easily for future AI model upgrades. For MVP, would you prefer Supabase for speed or Node.js custom backend for full control?

@topcreator100

Hi there, I’ve read your padel AI coaching MVP spec and I’m confident I can build a scalable mobile-first platform that meets your aggressive MVP timeline. I’ll tie React Native frontend with a Node.js/Firebase backend, handle video uploads, frame extraction, and API-driven AI feedback, with a clear path for future AI expansion. I have several experiences with similar projects and I’ll deliver a modular architecture, Stripe payments, booking, and admin dashboards as MVP. I’ll design the video processing pipeline with FFmpeg and cloud storage so AI components can improve without rewriting core code. Next steps: I can start within a week and target a 4-6 week MVP delivery window, with iterative demos for feedback.