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…

Building Information Models contain large volumes of electrical system data, but accessing that information often requires manual navigation and technical expertise. This project addresses that challenge by developing Auto BIM Route AI, an assistant integrated within Autodesk Revit. The tool enables users to query electrical layouts, identify panel loads and generate visualizations using natural language….

Building Information Models contain detailed electrical system data, but accessing and using that information often requires manual navigation and technical expertise. This project addresses that challenge by developing Auto BIM Route AI, an assistant integrated within Autodesk Revit. The tool allows users to query electrical layouts, identify panel loads and generate visualizations using natural language….

Tracking dementia progression is challenging due to the lack of integrated, user-friendly tools for consistent assessment and coordinated care. This project addresses that gap by developing an Android application that supports structured cognitive assessments with AI-driven voice interaction. The system includes role-based access for patients, caregivers and administrators, enabling shared use and oversight. It captures…