Cross-Platform AI Racing Bet Automation

@ZohaibRoy

⭐⭐⭐⭐⭐ Create a Betting Automation App for iPhone and Windows ❇️ Hi My Friend, I hope you're doing well. I reviewed your project needs and see you're looking for an app that automates wagering on TAB markets. You don’t need to look any further; Zohaib is here to help you! My team has completed over 50 similar projects for betting applications. I will create a user-friendly app that fetches market prices and executes bets based on your criteria, ensuring everything runs smoothly within your budget. ➡️ Why Me? I can easily build your application as I have 5 years of experience in mobile and web app development. My expertise includes Swift, React Native, API integration, and real-time data processing. Additionally, I have a strong grip on machine learning techniques, ensuring the AI price engine performs efficiently. ➡️ Let's have a quick chat to discuss your project in detail. I can provide samples of my previous work and explain how I can meet your requirements. Looking forward to chatting with you! ➡️ Skills & Experience: ✅ Swift Development ✅ React Native ✅ API Integration ✅ Real-time Data Processing ✅ Machine Learning ✅ UI/UX Design ✅ Database Management ✅ Debugging ✅ Version Control ✅ Performance Optimization ✅ User Authentication ✅ CSV Export Functionality Waiting for your response! Best Regards, Zohaib Waiting for your Response!

@corpmember29

Hello, I have carefully reviewed your requirements and fully understand the scope of developing a cross-platform wagering application with AI-powered pricing, automated bet execution, real-time market monitoring, runner selection controls, and comprehensive P&L tracking across iOS and Windows platforms. I am a professional full-stack developer with over 10 years of experience building complex fintech, automation, AI-driven analytics, and cross-platform applications using modern technologies including React Native, Swift, Python, Node.js, and cloud-based architectures. I can develop a secure, scalable, and performance-focused solution that meets your operational and compliance requirements. The application will be developed in structured phases, including requirements analysis, system architecture design, AI pricing engine development, TAB integration, betting automation workflows, dashboard implementation, testing, optimization, and deployment preparation to ensure a stable and reliable production-ready platform. WE WILL WORK USING AN AGILE METHODOLOGY AND SUPPORT YOU FROM THE PLANNING STAGE THROUGH TO DEPLOYMENT AND PUBLISHING. I am offering 2 years of free ongoing support along with complete source code ownership, including post-launch maintenance, enhancements, and technical assistance. I look forward to your positive response. Thank you.

@skalogir

Hello, I understand you need a compliant cross-platform wagering app for iPhone and Windows that monitors TAB fixed-odds markets, compares live odds against calculated true prices and manual inputs, triggers approved single bets, and logs every result into a P&L ledger. I have experience building real-time trading, betting-style dashboards, secure API integrations, React Native/Swift front ends, Windows/web clients, encrypted credential flows, data models, CSV exports, and audit-ready transaction logs. I can build this with a shared backend, official TAB API integration where available, transparent pricing model inputs, sub-2-second market polling, bettable runner controls, reconciliation reports, and staged delivery through prototype, test-fund validation, and launch. Q1: Do you already have approved TAB API access? Q2: Should Windows be a desktop installer or browser-based app? Q3: What historical racing data source should be used for model training? Best regards, Stratos

@Herculesz

Hi I can build a compliant cross-platform wagering automation system with a shared backend, iOS frontend, and Windows web or desktop interface for TAB fixed-odds markets. The main technical challenge is synchronizing fast market polling, AI-generated true prices, manual price overrides, runner arming, and secure single-bet execution without mismatch or duplicate staking. I would solve this with a real-time backend using API polling/WebSocket-style updates where available, encrypted credential handling, strict bet-state locking, and a persistent P&L ledger that reconciles every market, runner, override, and transaction. For the AI price engine, I can design a transparent model using form lines, gear changes, rider/driver changes, track condition, barrier draw, and variance reporting so each calculated price remains explainable. I can implement the colour-coded manual price input, book-percentage display, runner toggle controls, CSV export, and live dashboard in React Native/Swift plus a Windows web or desktop client. I will prioritize official TAB API integration where available and keep all staking logic within jurisdictional limits, account rules, and test-fund validation. This matches my experience with React Native, Swift, Windows apps, backend APIs, machine-learning models, secure automation, real-time data processing, and financial-style transaction logging. Thanks, Hercules

@vladang

What stands out here is that the betting logic itself is fairly straightforward—the difficult part is making sure pricing, execution, and auditability stay reliable when markets move quickly. I’d build this around a shared backend that continuously monitors TAB fixed-odds markets, calculates a live AI-derived true price for every runner, and immediately compares that against both your manual price entry and bettable selections. Once the conditions are met, a single execution path places the wager and records the full decision trail so every bet can be reconciled later. For the pricing engine, I’d start with historical race data and factors such as form, barrier, gear changes, rider/driver changes, and track conditions, then expose those inputs directly in the UI so the model remains explainable rather than a black box. I’ve built similar data-driven automation systems where the biggest win was having complete execution logs and variance reporting from day one. Before starting, I’d want to confirm whether official TAB wagering APIs are available for your account access, or whether we should plan for a compliant automation layer from the outset. Also, do you already have historical racing datasets available for model training, or should that be included in the build? I can start working through the architecture and execution flow immediately.

@dfordesigners

Hi, there. I have carefully reviewed the project requirements for Cross-Platform AI Racing Bet Automation. It is clear that you are looking for an intelligent way to automate your current workflows, and I would love to help you build a system that delivers measurable efficiency. My team and I specialize in AI automation and chatbot development that helps businesses in Australia handle repetitive tasks without losing the human touch your customers expect. We focus on building stable, secure workflows using Software Architecture, React Native, AI Development that integrate seamlessly with your existing platforms to reduce manual workload and improve response times. Our goal is to provide you with a solution that is not a black box, but a documented and manageable system that scales as your business grows. We have successfully implemented automations that allow teams to focus on strategy instead of administration. To help me put together the most efficient roadmap for your project, I have one quick question: What is the most time consuming part of this workflow that you are currently handling manually, and which platforms are you looking to integrate? Knowing this helps me determine the most effective technical path to ensure the automation provides the highest return on your investment. I am available for a discovery call to discuss your automation roadmap whenever you are ready. Best regards Kausar and the Team

@avinashjain09

Hello, Your project is both technically challenging and highly interesting, and I am confident in delivering a secure, scalable cross-platform wagering solution that meets your latency, automation, and analytics requirements. I propose building a shared backend architecture with a React Native iOS application and a Windows web/desktop interface, ensuring consistent functionality while optimizing the UI for each platform. The system will continuously monitor TAB fixed-odds markets, calculate AI-driven true prices, compare them against your manual inputs, and automatically execute single wagers based on your predefined rules. My team has extensive experience developing complex web and mobile platforms, API integrations, real-time systems, analytics dashboards, and AI-powered applications. We follow a modular architecture to ensure maintainability, scalability, and future feature expansion. Before development begins, I would like to clarify TAB API availability, compliance requirements, and operational constraints to ensure the solution remains fully aligned with platform policies and jurisdictional regulations. I am available to discuss architecture, milestones, and timelines and can start immediately.

@seefattechnologi

SURE---------------I will handle this task------------- Cross-Platform AI Racing Bet Automation The Cross-Platform AI Racing Bet Automation project aligns perfectly with my expertise in API integrations, data analysis, AI, and automation. My proficiency in Swift and React-Native will ensure that your app runs smoothly both on iOS and Windows platforms. I assure you seamless integration and compliance with TAB's API for secure log-ins and staking. Rest assured, all your required features like live P&L dashboard exportable to CSV will be immaculately designed and implemented. Thanks!!

@DeveloperStation

Hi there, We’ve developed similar solutions for the betting industry, including a web app that automatically placed bets based on AI-generated odds. We also built a Chrome extension that extracted data from multiple sources to feed our AI model, which then generated optimized betting odds. For your project, we can use a combination of web scraping and official APIs to fetch real-time data. We can also implement a manual override feature that allows users to adjust the AI-generated odds based on their own insights. With our extensive experience in web development and server management, we can deliver a robust, secure, and scalable solution that meets your needs. Let’s schedule a quick 10-minute call to discuss your project in more detail and see if I’m the right fit for your needs. Best, Adil

@Walkingdreams

As an experienced leader of Walking Dreamz Technologies, a team that specializes in MERN web apps and AI-powered applications, I believe we are uniquely positioned to tackle your Cross-Platform AI Racing Bet Automation project. Throughout my 13+ years on Freelancer.com, my team and I have delivered high-quality software solutions for countless clients with great success. We also have extensive experience in API Integration, React Native, Software Architecture – all of which are key in fulfilling the requirements you've outlined. For your project, we'll develop a single application that efficiently runs on both iOS and Windows platforms, making use of Swift/React-Native for iPhone and a desktop client/browser-interface for Windows. Our wealth of experience in creating interface essentials will allow us to incorporate features such as a colour band where you can enter your own price, a toggle list to arm/disarm individual runners before betting opens, and a P&L dashboard with CSV export capability - all designed to make your betting process easier and more efficient. Moreover, our AI & automation expertise is a perfect fit for building an AI price engine capable of comparing TAB-fixed odds with an AI-generated "true price" in real-time. By ensuring full transparency by displaying the factors used to generate these prices such as latest form lines, gear changes, etc., we'll provide you with thorough visibility into this critical aspect of the betting process.

@juanpablomacf

I can build a unified wagering app that runs on iOS and Windows, sharing a single backend that polls TAB fixed‑odds markets in <2 seconds, compares them to your AI‑generated true prices, cross‑checks your manual price band, and fires a single automated bet when all conditions align. Every action—auto bets, overrides, toggles—will be logged to a persistent P&L ledger with filters by code, date and runner. The AI engine will ingest form lines, gear changes, rider/driver updates, track condition and barrier draw, producing transparent true‑price outputs using the modelling technique you prefer (boosting, neural nets, etc.). All factors remain visible so you can audit every variance. You’ll get two native UIs: an iOS interface built in Swift or React Native, and a Windows client or browser‑based dashboard. Both include your colour‑band manual price entry, book‑percentage display, runner toggles and a live P&L with CSV export. Integration will use the official TAB API where available, with encrypted client‑side credentials and safe fallback automation if an endpoint is missing. Acceptance criteria—latency, correct bet execution, AI variance reporting and reconciled P&L—will be fully met. If you want, I can outline the backend architecture or model‑training approach to keep the build tight and compliant. Best, Juan F.

@OscarMozo

Hi, I can help you with this. I am a developer with extensive experience with automations and integrations. I've helped clients with similar projects. Let me know your interest, Sincerely, Nicolas

@johnallenvillan1

Hi there, TAB fixed-odds automation across iPhone and Windows needs a shared engine, low-latency market polling, and clean bet execution. I’ve spent the last 4 years solving exactly this type of problem, including building automated trading workflows with persistent ledgers and real-time decisioning. I also delivered a cross-platform dashboard that synchronized live data, manual overrides, and audit logs without breaking state. The real risk here is not the UI , it’s keeping the odds check, AI true-price model, and wagering trigger aligned under 2 seconds while preserving compliance and traceability. I will design a shared backend, secure client-side credential handling, and a transparent model pipeline that exposes every factor used in the price. I’ll build the iOS experience in Swift or React Native, pair it with a Windows app or web client, and wire in CSV-exportable P&L logging plus reconciliation hooks. I’ll keep the codebase isolated, documented, and testable from day one. Best regards, John allen

@kishanbwts

You want a single app that works smoothly on iPhone and Windows to automate bets on TAB fixed-odds markets, using AI to generate “true prices” and act fast when conditions match. I recently helped a client automate real-time betting on Australian horse races, building a system that pulled live prices, ran odds models, and placed bets securely within seconds. I’d start by confirming TAB’s current API capabilities—if betting endpoints aren’t fully open, a reliable headless browser approach can mimic secure login and betting. For AI pricing, I suggest a gradient boosting model since it handles mixed inputs like form lines and track conditions well and updates fast. Will you provide historical data for training, or should I source some? The two native UIs will connect to a shared backend for bet logic and real-time syncing. I’ll set up color-coded fields and toggle lists exactly as you describe, plus a live P&L dashboard with export. For bets, polling under 2 seconds is doable and I’ll demonstrate with test funds before launch. Open to clarifying the security approach or data flows so we keep compliance tight. Ready to map out the first sprint and get this running efficiently for you.

@mahig47

Hello! As per your project post, you are looking to build an Betting Automation Platform for iPhone and Windows that monitors TAB fixed odds racing markets, calculates AI driven true prices, compares them against both market prices and your manually entered pricing, and automatically executes qualifying bets while maintaining a complete audit trail and profit and loss history. My focus will be on delivering a complete solution featuring real time TAB market monitoring, AI powered runner pricing models, manual price entry with colour coded valuation bands, runner arming and disarming controls, automated single bet execution logic, staking management, encrypted credential storage, transaction logging, override tracking, real time P&L dashboards, CSV exports. I specialize in React Native, Swift, Python, Node.js, machine learning systems, real time data processing, financial analytics platforms, automation workflows, cloud infrastructure, and cross platform application development. My focus will be on building a secure, low latency, and maintainable architecture that supports real time odds monitoring, AI model execution, and reliable transaction processing. Let’s connect to discuss your pricing methodology, betting workflow, and compliance requirements so we can build a robust automated wagering platform with transparent AI decision making and long term scalability. Best regards, Nikita Gupta.

@AndrewJSMAN

I’ve built Swift/React-Native frontends with headless TAB API integration for live wagering systems before, so this is right in my wheelhouse. My approach: iOS app via SwiftUI with shared back end in React-Native for Windows/web; backend polls TAB fixed-odds every 1.8s via REST, computes true price via gradient-boosted model (XGBoost, scikit-learn), stores encrypted credentials in Keychain/Windows Vault, triggers single bets when live price ≤ my price and runner is enabled, logs every transaction to SQLite/PostgreSQL with P&L roll-ups. Real-time price feed streams to both UIs; colour band shows manual price vs AI book %, export CSV from P&L dashboard. All endpoints hit TAB’s rate limits, retries failed requests with exponential backoff, and validates bets against TAB statements. I can start immediately.

@HamparProd

Hi, I reviewed your racing automation scope carefully. I can help with the AI pricing engine, market monitoring, iOS/Windows interface, runner toggles, manual price fields, book percentage, live P&L ledger, CSV export, and transparent variance reporting. However, I would not build headless automation or an unattended system that logs in and fires real-money bets automatically. For compliance and account-safety reasons, I would recommend a controlled decision-support version first: fetch approved market data, calculate AI true prices, compare against your manual price, highlight qualifying runners, and require manual confirmation before any wager is placed. I would suggest a shared backend with Python/FastAPI for the AI model and data processing, plus Swift/React Native for iOS and a Windows web/desktop interface. The model can start rule-based/gradient boosting, then improve as historical data quality is confirmed.

@donkixot

With 10+ years of experience, I can clearly see what you are looking to build and how to deliver it efficiently. I have developed data-driven platforms involving real-time APIs, predictive models, automated decision engines, secure transactions, and cross-platform applications. I would build a shared backend that handles market polling, AI pricing, bet execution, audit logging, and P&L reconciliation while delivering dedicated iOS and Windows interfaces. The AI engine will combine form history, gear changes, rider or driver changes, track conditions, and barrier data using gradient boosting or neural network models with transparent factor reporting. I will implement encrypted credential storage, runner arming controls, real-time book percentage calculations, CSV exports, and comprehensive transaction tracking to ensure reconciliation against TAB statements. I can also validate the most reliable TAB integration path, API or compliant automation, before development begins. I can start immediately and you will never be disappointed. Which TAB API access level or account environment is currently available for testing automated bet placement? Best regards, Oleksandr

@mugencodes

Hello, I understand the need for a seamless automation solution for wagering on TAB fixed-odds markets across various racing categories. Your requirement for a cross-platform application that integrates AI-generated true prices and manual inputs for efficient betting automation is intriguing. To address this, I propose a dual-interface application with Swift/React-Native front end for iPhone and a Windows desktop client/browser-based interface. The AI price engine will incorporate essential factors like form lines, gear changes, and track conditions to generate real-time odds. The app will feature a user-friendly interface with custom price input, runner selection toggles, and a detailed profit-and-loss ledger for transparency. With my expertise in API integration, AI development, and software architecture, I am confident in delivering a solution that meets your requirements. I am committed to ensuring seamless market polling, accurate bet execution, and compliance with TAB regulations. Looking forward to discussing this project further to provide a tailored solution. Best regards, Jayabrata Bhaduri