The project aims to design and build a comprehensive, interactive, AI-driven database focused on child abuse, childhood trauma, and child protection in America. The goal is to create a centralized repository of information that can be easily accessed by professionals, educators, and policymakers to better understand and address these critical issues. The database will leverage artificial intelligence to categorize and analyze data, providing insights and potential solutions for improving child welfare. By integrating AI, the system will offer predictive analytics to identify at-risk children and suggest preventative measures. This project will enable learners to apply their knowledge of database design, AI, and data analysis in a meaningful way, contributing to a socially impactful cause.

The deliverables for this project include a pilot effort for a fully functional AI-driven database that categorizes and analyzes information on child abuse and protection. The team will provide a user-friendly interface for easy data access and navigation. Additionally, a report detailing the database's structure, AI algorithms used, and potential applications will be submitted. The project will culminate in a launch of a pilot database demonstrating the database's capabilities and potential impact on child protection efforts.