Racing Predictor App & Site

Заказчик: AI | Опубликовано: 03.11.2025

I’m building a dual-platform solution—a simple web dashboard plus a lightweight iPhone app—that tracks every Australian and New Zealand gallops and harness meeting, awards points to each jockey or driver in real time, and projects an “AI price” for who will top the day’s ladder. Core workflow • Pull runner, jockey and driver lists automatically from tab.com.au as soon as fields are declared. • After each race, update a live leaderboard applying the fixed scale: 1st = 3 pts, 2nd = 2, 3rd = 1, dead-heat = half points. • Recalculate and display an implied “price to win the meeting” for every jockey/driver using a clear formula you’ll help define (I’ll supply basic logic; refine it with your data-science insight). • Present the ladder inside a calendar view so users can jump to yesterday, today or any past date and review final results in one tap. • Ship both an iOS build (Swift / SwiftUI preferred) and a responsive web front end (React, Vue, or your suggested stack) that share the same backend. Minimum feature set 1. Email/password sign-up with password reset. 2. Calendar selector with meeting list per day. 3. Live ladder screen auto-refreshing after each race. 4. Historical results storage and display. 5. Admin settings where I can tweak the pricing formula coefficients without redeploying. Tech preferences & hand-off • Open to your choice of database and hosting; simplicity and low running costs matter. • Clean, modern look—happy to follow your design guidance; no heavy branding yet. • Source code in Git with clear README for local setup and deployment. • Brief hand-over call or video to walk me through the architecture and formula logic. I’m aiming for a functional prototype that I can test on course within a few weeks, with scope to iterate once the core loop works. If you’ve scraped racing data before, built odds models, or published on the App Store, tell me—those skills will stand out. Have listed some examples for jockey challenges and some tables as a guide