GitHub
WEARABLE TRANSCRANIAL MAGNETIC STIMULATION (TMS) FOR ALZHEIMER'S DISEASE
Introducing a breakthrough in Alzheimer's care: a cutting-edge cap design for an at-home TMS device. Tailored for minimal invasiveness and wearability, it's set to transform Alzheimer's therapy. The groundbreaking design, submitted for patent evaluation, marks a pivotal step in advancing TMS therapy for Alzheimer's.
GitHub
HYDRATION ANALYSIS USING GALVANIC SKIN RESPONSE (GSR) SENSOR
Revolutionizing health tracking, spearheaded the development of a cutting-edge prototype using a GSR sensor for early disease detection through hydration assessment. The advanced application achieves an impressive 93% accuracy, precisely calculating total body water and predicting hydration status.
GitHub
DETECTION OF DISEASES USING ELECTROPHOTONIC IMAGES (EPI)
Embarking on an innovation journey, Electrophotonic Imaging (EPI) data was captured using a gas discharge visualization camera. A highly accurate machine-learning algorithm was devised, showcasing an outstanding 88.4% accuracy in automated diabetes identification. This breakthrough at the intersection of technology and healthcare marks a transformative leap in diagnostics.
GitHub
GALVANIC SKIN RESPONSE (GSR) MODULE TO DETECT MOOD DISORDERS
Quarterfinalist in AICTE, DST, Texas Instruments India Innovation Challenge Design Contest, Anchored by IIM, Bangalore: My work on a GSR sensor prototype for emotional stress detection earned recognition at a prestigious national design contest. This innovative approach utilizes palm readings to monitor emotional states, demonstrating the potential of GSR sensors in this field.