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.

Functional AI Agent Backend Prototype (Azure-based): A working prototype of the AI agent backend, built using Azure AI Services. This prototype will demonstrate core agentic workflows for analyzing user digital behavior and delivering personalized interventions. It will include API endpoints for integration with the existing Quell App frontend.