Freelance Flutter Developers in Romford
Freelance Flutter Developers in Romford
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IDOWU ELIJAH
London, UK
AI Product Engineer | Building Production Ready AI Apps
23
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AI Product Engineer | Building Production Ready AI Apps
1
Secure Python Backend + Supabase Database Integration Building a backend that is secure, scalable, and ready for real-world applications requires more than just writing API endpoints. This project combines Python, FastAPI, and Supabase to create a structured backend system with: • Secure REST API development • Supabase database integration • Authentication & authorization • Storage and file management • Clean backend architecture • Performance-focused API design • Scalable database structure The goal is simple: build a backend that is reliable today and easy to scale tomorrow. Whether you're building an SaaS platform, web application, dashboard, or custom product, I can help turn the backend architecture into a working system. Tech stack: Python • FastAPI • Supabase • REST API 📩 Have a backend idea you want to build? Let's discuss the architecture and turn it into something production-ready.
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$10,000,000 was sitting at the top of the 2026 WSOP Main Event. That number is one of the reasons I became interested in building this. Poker isn't just cards on a screen. At the highest level, millions of dollars can depend on thousands of individual decisions. So I'm building something around a question that I find technically fascinating: Can software understand what is happening on a poker table from visual data? That's what I'm working on with my Poker Vision project. The system is being designed to recognize and structure information such as: → 🃏 Hole cards → 🎴 Board cards → 👤 Player positions → 💰 Betting actions → 🔎 OCR information → 📍 Table coordinates → 🧠 Game-state changes Then the challenge becomes turning all of that raw visual information into reliable structured data that another part of the application can understand. And that's where the engineering gets serious. A single recognition mistake can completely change the state of the game. So I'm not interested in building something that simply looks intelligent. I want to build something that can: Detect → Interpret → Validate → Test → Learn from errors → Improve. One important boundary: I'm building this as a research/analysis and development project, not a real-time system that tells someone what action to take during live-money play. Major poker platforms prohibit real-time assistance that influences decisions during play. PokerStars (https://www.pokerstars.com/poker/room/prohibited/?utm_source=chatgpt.com) The bigger idea is what excites me: Computer vision + AI + poker data + software engineering. When the stakes can reach millions, even a small technical problem becomes an interesting engineering problem. And that's exactly the kind of problem I enjoy building. 🔥 If you were building this system, what would you tackle first: card recognition, player tracking, OCR, or game-state detection?
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I’m not just building a poker UI. I’m building a system that can understand the table. This project started with a simple idea: Can software look at a poker table and turn what it sees into structured game logic? The deeper I get into it, the more interesting the engineering becomes. The system has to deal with things like: → Card recognition — identifying cards from the screen → Board detection — understanding the current board state → Player positioning — determining where players are located → Action recognition — interpreting Fold, Call, and Raise → OCR — extracting information from visual elements → Coordinate mapping — knowing where important elements exist on different layouts → Game-state logic — turning all that visual information into something the application can actually understand And this is where AI-assisted development becomes powerful. I can use an AI coding agent to help investigate the codebase, implement changes, run tests, and work through bugs. But the outcome still depends on how I design the logic, test the edge cases, and verify what the system is actually seeing. The goal isn't: “Make AI write a poker application.” The goal is: “Build a system that can reliably understand what is happening on the table.” That's a completely different engineering problem. Right now I'm focused on making the recognition and game-state pipeline more reliable because one incorrect card, coordinate, or player action can affect everything that comes after it. Computer vision + AI + software engineering = some seriously interesting problems. 🧠🔥 What would you build with this kind of technology if you had reliable real-time visual recognition?
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Everyone is talking about AI. Very few are actually building with it. The opportunity isn't in using AI once. It's in creating tools that solve real business problems every single day. The builders who start today will have the biggest advantage tomorrow. What are you building?
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334
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ossa codes
London, UK
Bringing Your Web & Mobile Ideas to Life 🚀
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Bringing Your Web & Mobile Ideas to Life 🚀
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Flutter web app for public chat application based on location.
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16
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A map based dating hybrid app with flutter
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11
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A chat Mobile App(Android and Ios) using Flutter
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9
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Aijaz Ali Gopang
Romford, UK
Expert in AI/ML & Full-Stack Solutions
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Expert in AI/ML & Full-Stack Solutions
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dosh app 17+
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9
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Envision: AI Avatar Generator 17+
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6
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MakeupAlley 9+
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7
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Huraira Muzafar
London, UK
Expert Web & App Developer
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Expert Web & App Developer
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Flutter Developer
1
9
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Web Devlopment
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6
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Desktop Application
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7
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Petar Santor
London, UK
Transforming Ideas into Mobile Apps
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Transforming Ideas into Mobile Apps
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XYZ App
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17
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Gelato app
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68
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Wio app
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43
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Findout app
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19
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Martin Fourie
London, UK
Innovative Agile Software Product Manager 🚀
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Innovative Agile Software Product Manager 🚀
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Software Development to aid Non-verbal Children
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13
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Software Development of a Time Tracking application
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21
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Business Analysis and Consultation for Digital Transformation
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11
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Data Migration and Modeling for Enterprise Software Project
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14
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vamsi kaley
Chelmsford, UK
I design SaaS landing pages that convert
New to Contra
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I design SaaS landing pages that convert
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MINDFUL MEDITATION APP USER INETRFACE DESIGN
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2
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UX Design for Spacebook Accounting Software
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10
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A UX design for Kodezi Cloud
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4
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TRAVEL WAKA UX CASE STUDY | UI/UX
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3
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Umer Zia
London, UK
Full-stack Web & Mobile Expert
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Full-stack Web & Mobile Expert
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Vite Home - Vite Mauritius
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11
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AI-Based SaaS Website competing ChatGPT
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34
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Accept App
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11
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Home | Nexa Node
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13
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