Gold Sentinel is seeking to develop an AI-based system to enhance the monitoring and prediction of diseases. The goal is to leverage artificial intelligence to analyze health data and identify patterns that could indicate the onset or spread of diseases. This project aims to create a prototype that can process data from various sources to provide timely insights. The system should be able to predict potential disease outbreaks and suggest preventive measures. By applying classroom knowledge of AI and data analysis, learners will contribute to a project that has the potential to improve public health outcomes. The project will focus on creating a user-friendly interface and ensuring data privacy and security.

The primary deliverable is a functional prototype of the AI-based disease monitoring and prediction system. Additionally, a report detailing the system's design, data sources, and prediction algorithms will be required. The team will also provide a presentation demonstrating the system's capabilities and potential applications in real-world scenarios.