


AI-Enhanced Freedom Roadmap
The Clean Divorce aims to enhance its Freedom Roadmap by integrating AI to create an interactive user experience. The current roadmap provides users with a structured guide through the divorce process, but it lacks personalized interaction and adaptability. By incorporating AI, the goal is to offer users a more tailored experience that adapts to their unique situations, providing real-time feedback and guidance. This project will involve analyzing the existing roadmap, identifying areas where AI can add value, and developing a prototype that demonstrates these enhancements. The project will allow learners to apply their knowledge of AI, user experience design, and software development to create a practical solution that aligns with industry needs. - Analyze the existing Freedom Roadmap to identify integration points for AI. - Develop AI algorithms that can provide personalized feedback and guidance. - Design an interactive user interface that enhances user engagement. - Create a prototype demonstrating the AI-enhanced roadmap.

AI-Powered Digital Wellness Agent
Building upon the existing Quell App interface, this project focuses on developing an intelligent AI agent backend using Azure AI Services to empower users in managing digital habits and overcoming digital addiction. Students will design and implement an agentic workflow leveraging Azure Cognitive Services, to analyze user data and provide personalized interventions. This involves creating a sophisticated backend capable of understanding user behavior patterns, identifying triggers for excessive digital device usage, and delivering timely, supportive feedback directly within the Quell App. Learners will gain hands-on experience with Azure AI platform, agentic workflow design, and backend development for intelligent applications. The project will explore techniques for data analysis, natural language processing, and personalized recommendation systems, all within the Azure ecosystem. Deliverables include a functional AI agent backend prototype integrated with Azure AI Services, demonstrating core agentic workflows and personalized intervention logic, along with comprehensive documentation outlining the system architecture, Azure service utilization, and testing results.