Professionals often miss or delay responses to messages while in meetings or focused work, limiting timely communication. This project addresses that challenge by developing an LLM-powered system that generates context-aware auto-replies. The model uses inputs such as activity type, time, sender role, urgency and expected response time to produce appropriate responses. Delivered through an Android…

Grading workflows in Canvas LMS are often fragmented, requiring instructors to navigate multiple screens to build rubrics, score submissions and manage rosters. This project addresses that challenge by developing Palette, a companion tool that unifies the assessment process in a single interface. The platform includes an interactive rubric builder, bi-directional Canvas integration and a split-panel…

Planning effective workout routines can be complex, especially when balancing intensity, recovery and exercise variety. This project addresses that challenge by developing a rule-based weekly workout planning tool that helps users build structured schedules while avoiding overtraining. The system validates workouts based on user-defined rules, supports multiple exercise types and intensities, and provides real-time feedback…

Managing message responses in real time can be difficult when users are occupied or unavailable. This project addresses that challenge by developing a context-aware application that automatically generates message replies based on user activity and situation. The system uses contextual information to determine appropriate responses and timing. The goal is to support timely communication, reduce…

Limited connectivity between industrial systems can restrict data visibility and reduce operational efficiency in manufacturing environments. This project addresses that challenge by working with the Society of Manufacturing Engineers and the Manufacturing Engineering Association to develop an Industrial Internet of Things architecture. The system connects devices, networks and data platforms to enable real-time data collection…

Exploring metallic asteroid surfaces presents challenges for existing rover designs, which are optimized for rocky or granular terrain. This project addresses that challenge by working with the NASA Psyche Mission to develop a rover concept suited for uneven, rigid surfaces. The design features adaptive wheels that conform to terrain and improve stability under low-gravity conditions….

Harvesting macroalgae manually can be time-consuming and limit research and production efficiency. This project addresses that challenge by working with AzCATI to develop an automated harvesting system for macroalgae farms. The design replaces manual collection with a conveyor-based system that supports consistent harvesting while minimizing environmental impact. The system also provides notification after collection for…

The project centers on auditing XNRGY’s manufacturing operations with a targeted focus on compressed air systems, raw material waste, and electricity usage associated with industrial machinery. Partnering directly with XNRGY, the team is addressing the challenge of identifying inefficiencies in these high impact resource areas to reduce operating costs and environmental footprint. By conducting detailed…

Handling and mounting electrical panels in HVAC systems can be inconsistent and labor-intensive without standardized processes. This project addresses that challenge by working with XNRGY Climate Solutions to develop a universal approach for panel installation. The design includes standardized mounting using unistrut channels and a handling system that uses a hydraulic floor crane with a…

Pilots using handheld tablets for communication may need to divert attention from flight instruments, affecting situational awareness. This project addresses that challenge by designing a mounting system for use in the MV-22 Osprey cockpit. The system secures the tablet within the pilot’s line of sight using existing mounting points and supports adjustability and quick release….