AI Sports Betting App Development
Budget: $250 – $750 AUD
I’m ready to build an app that runs smoothly on both iPhone (iOS) and Windows desktop, delivering AI-driven sports betting insights in real time. The heart of the product is an engine that 1) predicts game outcomes, 2) suggests fair prices for every market, and 3) constantly learns by analysing historical results, weather, team-list changes and other live variables.
Core sports on day one will be NRL, AFL, NBL, NBA, NFL and MLB and more sports as well , with the framework flexible enough for additional codes as we refine the model. For each match the app needs to publish an implied probability, recommended head-to-head price, line and totals assessments, plus a verdict on which side of each market is showing value.
To help bettors act quickly, I also want an embedded comparison panel that pulls the latest odds from Betfair, TAB, Ladbrokes, Sportsbet, TABtouch, PointsBet and any other major feed we can secure, then colour-highlights the best available price against our AI number.
Key deliverables
• Native iOS build (App Store-ready)
• Windows desktop build (installer or Microsoft Store package)
• Cloud-hosted AI backend with regularly updated data pipelines for results, weather and team news
• Odds-scraping or API integration module for the listed bookmakers
• Simple admin console so I can retrain models or add new sports without code changes
• Documentation and a short hand-over session at the end so I can operate and scale the system confidently
Acceptance criteria
– Predictions, price suggestions and bookmaker comparisons display correctly for all launch sports.
– Data refresh cycle no slower than 5 minutes in normal operation.
– App passes App Store and Windows security reviews.
If you have experience combining sports data, machine-learning models and multi-platform front-ends, I’d love to see what approach you’d take and any similar work you’ve shipped.
Core sports on day one will be NRL, AFL, NBL, NBA, NFL and MLB and more sports as well , with the framework flexible enough for additional codes as we refine the model. For each match the app needs to publish an implied probability, recommended head-to-head price, line and totals assessments, plus a verdict on which side of each market is showing value.
To help bettors act quickly, I also want an embedded comparison panel that pulls the latest odds from Betfair, TAB, Ladbrokes, Sportsbet, TABtouch, PointsBet and any other major feed we can secure, then colour-highlights the best available price against our AI number.
Key deliverables
• Native iOS build (App Store-ready)
• Windows desktop build (installer or Microsoft Store package)
• Cloud-hosted AI backend with regularly updated data pipelines for results, weather and team news
• Odds-scraping or API integration module for the listed bookmakers
• Simple admin console so I can retrain models or add new sports without code changes
• Documentation and a short hand-over session at the end so I can operate and scale the system confidently
Acceptance criteria
– Predictions, price suggestions and bookmaker comparisons display correctly for all launch sports.
– Data refresh cycle no slower than 5 minutes in normal operation.
– App passes App Store and Windows security reviews.
If you have experience combining sports data, machine-learning models and multi-platform front-ends, I’d love to see what approach you’d take and any similar work you’ve shipped.