Famiglia Doro LLC seeks to develop a machine learning algorithm designed to intelligently pair users, such as entrepreneurs or nonprofits, with relevant resources, investors, or funding opportunities. The goal is to leverage digital behavior and business data to create a robust matchmaking system that enhances the efficiency and effectiveness of resource allocation. This project will allow learners to apply their knowledge of machine learning, data analysis, and algorithm development. The team will focus on creating a prototype that can analyze user data and predict optimal matches. By working on this project, learners will gain hands-on experience in developing algorithms that can process and interpret complex datasets, ultimately contributing to more informed decision-making processes for users seeking support and funding.

The project deliverables will include a functional prototype of the matchmaking algorithm, complete with documentation detailing its design and implementation. Additionally, the team will provide a report summarizing the algorithm's performance, including accuracy metrics and potential areas for improvement. The final deliverables will also include a presentation to Famiglia Doro LLC, showcasing the algorithm's capabilities and potential applications.