MyEdMaster

Patients prescribed new medications often lack clear, personalized information to understand their treatment. Existing tools may provide generic responses that do not reflect individual conditions or knowledge gaps. This project addresses that challenge by developing MedCareBot, a system that combines self-assessment, retrieval-augmented generation and adaptive learning. The platform delivers tailored education on medications and conditions…

Many individuals face barriers when seeking legal assistance, including cost, accessibility and complexity. This project addresses that challenge by developing a personalized legal chatbot that provides guidance tailored to a user’s level of understanding. The system is designed to be accessible, adaptive and secure, supporting users as they navigate common legal questions. The goal is…

Traditional assessments often provide scores without clear guidance, making it difficult for students to improve. At the same time, educators have limited time to create personalized learning experiences. This project addresses that challenge by developing an AI-powered educational chatbot that generates lesson plans, practice exercises and feedback based on student performance. The platform also supports…

Many individuals struggle to maintain consistent budgeting habits and understand the impact of financial decisions. This project addresses that challenge by developing a financial chatbot and budgeting dashboard that supports financial education and planning. Users can set a personalized budget, track income and expenses and receive rule-based recommendations. The system also provides analytics on spending…

Accessing relevant, high-quality educational images for K–12 learning can be time-consuming and inconsistent. This project addresses that challenge by developing a local, searchable image database built from Wikimedia Commons. The system uses tools such as ChromaDB and OpenCLIP to organize and retrieve images based on content, with local storage to support reliable access. The goal…

Monitoring battery health across devices can be inconsistent, especially when data collection and storage are unreliable. This project addresses that challenge by developing a system with Fetherstill that tracks battery performance using an ESP32 and a React Native mobile application. The system collects data on voltage, current, temperature and recharge cycles over Bluetooth and preserves…