Developed a foundational backend prototype for investment pools within the AutoProphet repository, focusing on robust data modeling and database design using SQL. The work centered on defining a relational schema that organizes users, investment pools, participants, investments, performances, notifications, administrators, and activity logs, providing a comprehensive structure for future feature expansion. Sample data was incorporated to facilitate testing and validate schema relationships, supporting efficient development and data-driven decision-making. By establishing a scalable schema definition, the project laid the groundwork for advanced investment pool functionality, ensuring that subsequent features can be built on a reliable and well-structured backend data model.