Ventus - Horse Racing Betting System Development

Achievements

Developed and implemented a data-driven betting system with real-time predictive capabilities, leveraging Agile and MLOps methodologies for efficient and continuous improvement cycles.
Enhanced model accuracy and user engagement through iterative algorithm refinement and system updates, resulting in increased profitability and comprehensive performance reports for stakeholders.

Real-Time Data Acquisition: Utilized web scraping and API integration to gather and manage high-volume, real-time data inputs, essential for responsive and adaptive betting decisions.
Scalable Deployment: Built a robust and scalable deployment infrastructure on AWS EC2, incorporating FastAPI for API management, Docker for containerized deployment, and MinIO for efficient object storage.
Predictive Modeling: Deployed TensorFlow-based predictive models, continuously retrained and optimized using real-time data, enhancing model performance and betting accuracy.
Data Management & Reporting: Established PostgreSQL as a reliable database solution for comprehensive data storage and tracking. Configured automated result dissemination via web and email, ensuring timely insights and updates to users.
Dynamic Betting Interface: Designed a user-friendly interface with automated result updates, allowing users to interact seamlessly with betting models, adjust strategies, and review performance analytics in real-time.

Website
You can use demo account to test the system:
- Username: demo@ventusgroup.ai
- Password: bd8yaqy6v6