Earthshot Factory is seeking to develop an AI-powered recommendation and filtering engine to identify the most optimal matches for new mining deposits. The goal of this project is to leverage existing data to create a system that can efficiently analyze and recommend potential mining sites based on various criteria such as mineral composition, geographical location, and environmental impact. This project will allow learners to apply their knowledge of data science, machine learning, and AI algorithms to solve a real-world problem. The team will focus on creating a prototype that can process and filter data to produce actionable insights for mining operations. By the end of the project, learners will have gained hands-on experience in developing AI solutions tailored to the mining industry.

The project deliverables will include a functional prototype of the AI recommendation engine, complete with a user interface for inputting data and viewing results. Additionally, a comprehensive report detailing the methodology, algorithms used, and performance metrics of the engine will be provided. The team will also prepare a presentation to demonstrate the engine's capabilities and discuss potential improvements.