This project focuses on predicting horse racing outcomes by scraping data from the Hong Kong Jockey Club (HKJC) website. Utilizing Selenium and BeautifulSoup4 for web scraping, and TensorFlow for implementing a deep neural network (DNN), this project aims to leverage machine learning to forecast race results. Technologies Used

1. Selenium: Automates web browser interaction to retrieve racing data.
2. BeautifulSoup4: Parses HTML and XML documents, extracting relevant information.
3. TensorFlow: An open-source library used to develop and train ML models.