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…

Identifying and understanding government opportunities can be difficult due to fragmented information and unclear points of contact. This project addresses that challenge by developing GovCRM, a platform that organizes and analyzes government data to provide clearer insights. The system helps users identify relevant needs, understand underlying problems and determine appropriate contacts. The goal is to…

Traditional textbooks often do not account for differences in student knowledge and learning gaps. This project addresses that challenge by developing a platform that generates personalized Algebra 1 textbooks based on pre-assessment results. Each textbook includes tailored explanations, practice exercises and step-by-step solutions. Students who need additional support receive targeted remedial content based on their…

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…

Manual invoice data entry is time-consuming, costly and prone to errors, which can lead to incorrect payments and financial risk. This project addresses that challenge by evaluating the use of large language models for automated invoice data extraction. The system focuses on identifying and structuring key information from invoices to reduce reliance on manual processes….

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…

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…