Spring 2026

Jeteish Pratap Singh, Smit Mahesh Panchal, Somesh Sushil Chinnawar, Abhijna Venkatesh Maiya, Rajvi Alpesh Patel and Darshan Phaldesai of Industry Team 2 in SER 517.

Industry Team 2

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….

Ritu Kishor Malav, Sejal Khedekar, Swati Uttamrao Chaudhari, Ashish Sangale, Misha Kumari and Siya Singh of Industry Team 1 in SER 517.

Industry Team 1

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….

Aditya Kumar, Dhaarani Ganesh Thangam, Pavan Kalyan Lingutla, Rishika Sardana, Girish Nalawade, Namana of Faculty Team 10 in SER 517.

Faculty Team 10

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…

Prerana Sathyabodha Kumsi, Aniket Anil Patil, Satyam Shekhar, Uma Maheswar Reddy Nallamilli, Shreya Prakash and Piyush Moolshanker Sharma of Faculty Team 9 in SER 517.

Faculty Team 9

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…

Prerana Sathyabodha Kumsi, Aniket Anil Patil, Satyam Shekhar, Uma Maheswar Reddy Nallamilli, Shreya Prakash and Piyush Moolshanker Sharma of Faculty Team 8 in SER 517.

Faculty Team 8

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…

Arjun Harish, Dhairya Rupesh Kamalia, Harshil Utpal Dave, Raj Mani Mitresh Mani, Samanvitha Patel and Sumanth Kannan of Faculty Team 7 in SER 517.

Faculty Team 7

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…

Alexander Rickman, Poojan Dave, Ruthvik Dutt, Namitha Sreerangram Nair, Sushmitha Sreenivasa Dhisley, Mohmmad Yasir Khan and Harshini Kulandaisamy Ramesh of Faculty Team 6 in SER 517.

Faculty Team 6

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…

EGR 402 Team 35 photo

35 Investigating IIoT Components to Enable Smart Manufacturing

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…

EGR 402 Team 34 photo

34 Robotic Explorer for Hypothesized Surfaces

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….

EGR 402 Team 33 photo

33 Automated Harvester for Macroalgae Cultivation

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…