Sports Betting Predictor is a cloud-based sports betting prediction system built on Amazon Web Services (AWS). It incorporates automated scraping of sports data, ETL processing, optimized LSTM model training, and continuous integration/continuous deployment (CI/CD) integration.
- Automated Scraping: The system automatically scrapes sports data from various sources every 15 minutes to ensure the latest data is available for analysis.
- ETL Processing: Extract, Transform, Load (ETL) processing is performed to clean, preprocess, and prepare the scraped data for model training.
- Optimized LSTM Model: The system utilizes an LSTM model, optimized for sports betting prediction, to analyze historical data and make predictions on future sports outcomes.
- CI/CD Integration: Continuous Integration/Continuous Deployment (CI/CD) pipelines are implemented to automate the deployment process, ensuring smooth and efficient updates to the system.
- Automated Scraping: Sports data is automatically scraped from various sources every 15 minutes using AWS services.
- ETL Processing: The scraped data is then processed, where it undergoes cleaning, transformation, and loading into a data warehouse for analysis.
- Model Training: An optimized LSTM model is trained using historical sports data stored in the data warehouse. The model learns patterns and trends from past data to make predictions on future sports outcomes.
- Prediction Generation: Once trained, the LSTM model generates predictions for upcoming sports events, providing insights into potential betting outcomes.
- CI/CD Integration: Continuous Integration/Continuous Deployment pipelines are set up to automate the deployment of updates to the system, ensuring reliability and efficiency.