Health

The Fulton Schools’ efforts in health innovation range from understanding the causes behind Alzheimer’s disease and improving methods for predicting epileptic seizures to developing advanced biosensors, bioassays and lab-on-a-chip devices for clinical diagnostics. Additional areas of research exist in novel biological materials, neural engineering, biomedical informatics, drug-delivery systems, health care systems analysis and modeling, health monitoring devices and human rehabilitation technologies.

Saud Alsaif, Aryan Rajendra Suthar, Pradyumn Mohta, Tarun Krishna Dodda, Harish Bandlamudi and Lalitha Shreya Vanam of Industry Team 16 in SER 517.

Industry Team 16

Patients recovering from injury or managing physical therapy often lack consistent support between clinic visits. This project addresses that challenge by developing PhysioApp, a digital physiotherapy companion that helps users follow prescribed exercise plans and track progress over time. The platform provides a structured approach to rehabilitation, supporting consistency and independent use. The goal is…

Dheemanth Raviraj, Pavan Samarth Vittal Bele Gururaja, Rachana Angara, Rachit Girish Kulkarni, Ragland Pakiyaraj Rajasingh and Shreyas Baburayanakoppal Sunil of Industry Team 15 in SER 517.

Industry Team 15

Fire departments rely on drug boxes and narcotics pouches during emergency response, but tracking these assets in real time can be difficult. This project addresses that challenge by developing a smart tracking system using Bluetooth Low Energy and a Raspberry Pi base station. The system monitors asset presence, detects separation events and generates alerts when…

Bhawan Kumar Chinavada, Jahnavi Gona, Prerana Madhukar Nale, Vipin Reddy Chandupatla, Manvika Vinod and Ritik Zambre of Industry Group 12 in SER 517.

Industry Team 12

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…