AI-Driven Jockey & Driver Challenge Predictor
Budget: $250 – $750 AUD
Australian Jockey & Driver Challenge AI Predictor
Project Description
I am looking for an experienced developer or development team to build a professional AI-powered website or Windows application that predicts Australian Jockey Challenge and Driver Challenge markets.
The platform must automatically scrape race meetings, bookmaker markets, calculate AI prices, track live results, and continuously update challenge predictions throughout the day.
Coverage
Thoroughbred Racing
* All Australian race meetings.
* Jockey Challenge markets.
Harness Racing
* All Australian harness meetings.
* Driver Challenge markets.
Points System
For both Jockey and Driver Challenges:
* 1st Place = 3 Points
* 2nd Place = 2 Points
* 3rd Place = 1 Point
Core Features
Daily Data Collection
The system must:
* Automatically collect all Australian race meetings each day.
* Begin scraping from 9:00am Brisbane (AEST).
* Continue updating throughout the day.
* Automatically detect new meetings and market changes.
AI Prediction Engine
The AI model must:
* Predict the most likely winner of each challenge.
* Generate fair odds (AI prices) for every jockey and driver.
* Predict expected final points.
* Rank all participants by winning probability.
* Continuously update predictions as races are completed.
Live Challenge Tracking
Once meetings commence:
* Live leaderboard.
* Current challenge points.
* Rides/drives completed.
* Rides/drives remaining.
* Predicted final points total.
* Updated AI prices after every race.
* Current challenge leader.
* Projected winner.
Bookmaker Comparison
Collect and compare challenge markets from:
Jockey Challenges
* TAB
* Ladbrokes
* Sportsbet
* PointsBet
* TABtouch
Driver Challenges
* Ladbrokes
* Sportsbet
* PointsBet
Display:
* Bookmaker Odds
* AI Odds
* Overlay Percentage
* Value Rating
* Expected Edge
AI Factors
The model should consider:
* Number of rides/drives
* Horse winning chances
* Historical jockey statistics
* Historical driver statistics
* Trainer statistics
* Barrier draws
* Recent form
* Market movements
* Remaining rides/drives
* Current challenge points
* Historical challenge performance
Dashboard
The dashboard should display:
* Today’s Meetings
* Jockey Challenges
* Driver Challenges
* Live Challenges
* Value Opportunities
* Results History
* Profit & Loss Tracking
Technical Requirements
Preferred Technology:
Backend:
* Python
Frontend:
* React, Vue, or similar modern framework
Database:
* PostgreSQL or equivalent
Hosting:
* Cloud-based website preferred
Deliverables
* Full source code
* Database setup
* Data scrapers
* AI prediction engine
* Live tracking dashboard
* Installation documentation
* Ongoing support option
Applicant Requirements
Please provide examples of:
* Sports betting projects
* Racing-related projects
* AI prediction systems
* Web scraping projects
* Live data tracking systems
Project Description
I am looking for an experienced developer or development team to build a professional AI-powered website or Windows application that predicts Australian Jockey Challenge and Driver Challenge markets.
The platform must automatically scrape race meetings, bookmaker markets, calculate AI prices, track live results, and continuously update challenge predictions throughout the day.
Coverage
Thoroughbred Racing
* All Australian race meetings.
* Jockey Challenge markets.
Harness Racing
* All Australian harness meetings.
* Driver Challenge markets.
Points System
For both Jockey and Driver Challenges:
* 1st Place = 3 Points
* 2nd Place = 2 Points
* 3rd Place = 1 Point
Core Features
Daily Data Collection
The system must:
* Automatically collect all Australian race meetings each day.
* Begin scraping from 9:00am Brisbane (AEST).
* Continue updating throughout the day.
* Automatically detect new meetings and market changes.
AI Prediction Engine
The AI model must:
* Predict the most likely winner of each challenge.
* Generate fair odds (AI prices) for every jockey and driver.
* Predict expected final points.
* Rank all participants by winning probability.
* Continuously update predictions as races are completed.
Live Challenge Tracking
Once meetings commence:
* Live leaderboard.
* Current challenge points.
* Rides/drives completed.
* Rides/drives remaining.
* Predicted final points total.
* Updated AI prices after every race.
* Current challenge leader.
* Projected winner.
Bookmaker Comparison
Collect and compare challenge markets from:
Jockey Challenges
* TAB
* Ladbrokes
* Sportsbet
* PointsBet
* TABtouch
Driver Challenges
* Ladbrokes
* Sportsbet
* PointsBet
Display:
* Bookmaker Odds
* AI Odds
* Overlay Percentage
* Value Rating
* Expected Edge
AI Factors
The model should consider:
* Number of rides/drives
* Horse winning chances
* Historical jockey statistics
* Historical driver statistics
* Trainer statistics
* Barrier draws
* Recent form
* Market movements
* Remaining rides/drives
* Current challenge points
* Historical challenge performance
Dashboard
The dashboard should display:
* Today’s Meetings
* Jockey Challenges
* Driver Challenges
* Live Challenges
* Value Opportunities
* Results History
* Profit & Loss Tracking
Technical Requirements
Preferred Technology:
Backend:
* Python
Frontend:
* React, Vue, or similar modern framework
Database:
* PostgreSQL or equivalent
Hosting:
* Cloud-based website preferred
Deliverables
* Full source code
* Database setup
* Data scrapers
* AI prediction engine
* Live tracking dashboard
* Installation documentation
* Ongoing support option
Applicant Requirements
Please provide examples of:
* Sports betting projects
* Racing-related projects
* AI prediction systems
* Web scraping projects
* Live data tracking systems
Related categories:
PHP
Python
Web Scraping
Software Architecture
PostgreSQL
Data Scraping
Data Collection
AI Development