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IoT-Driven Boiler Management System for Optimized Turmeric Processing and Drying

Turmeric processing faces major challenges in the boiling and drying stages, where outdated systems lead to high fuel consumption, poor heat transfer, and loss of curcumin. Drying methods, especially solar drying, often cause inconsistent results and

Bluetooth channel sounding

This project focuses on achieving highly accurate and scalable distance measurement between BLE devices using a channel-sounding approach. Custom BLE firmware will be developed to enable device communication and extract IQ samples, which will be proc

Rapid, low-cost ARG detection kit for point-of-care sepsis diagnosis

This project develops a low-cost, paper-based diagnostic platform for rapid Dna extraction and detection of antimicrobial resistance genes to enable early sepsis diagnosis in decentralized settings. Using dipstick-based extraction and a colorimetric

ML-assisted Advanced Compact Highly Reliable EM Sensing System for Early Detection of Alzheimer’s and Associated Brain Diseases

This project aims to develop an affordable, compact, ML-assisted electromagnetic sensing system for early, non-invasive detection of Alzheimer’s disease. Building on prior EM sensor innovations, it focuses on productization, system integration, and

A bedside device for continuous and non-invasive monitoring of anterior cerebral circulation using Diffuse Correlation Spectroscopy and its clinical application in stroke patients

This project aims to develop India’s first clinically deployable bedside Diffuse Correlation Spectroscopy (DCS) system for continuous, non-invasive monitoring of cerebral blood flow in stroke patients. It will feature a portable device, real-time i

Biomechanically-validated Sensor Platform to Quantify Human Joint Kinematics for Wellness and Rehabilitation

This project aims to develop indigenous, biomechanically validated sensors for accurate lower-limb joint kinematics, supporting gait analysis, musculoskeletal diagnostics, rehabilitation, fall assessment, and sports performance. It targets advancemen

Chronic-kidney-disease affects about 700 million people globally, and is the 3rd fastest growing cause of death, with India alone contributing to 10% of cases. The asymptomatic nature of the disease and challenges in healthcare accessibility, delays disease diagnosis resulting in kidney failure, ultimately necessitating renal transplantation. While early diagnosis improves kidney health, the existing methods are invasive, costly, demand laboratory intensive pre-processing & analysis, and are subsequently not accessible to significant fraction of the society. This highlights the need for point-of-care diagnostic solutions. Hence, we propose the development of economic, IoT enabled sensor device for early and non-invasive diagnosis of CKD.

The project envisions to improve and validate the performance of as developed low-cost sensor device (TRL-5) towards the estimation of salivary urea, sodium, potassium, and urinary Albumin-Creatinine-Ratio.

Ability to walk (manner of walking being gait) is fundamental to healthy living, emphasizing gait quantification. Gait can be heterogeneous irrespective of whether healthy or with hemiplegia, parkinsonism, osteoarthritis, flat-foot, foot-drop, needing knee surgery, gait rehabilitation, etc. Conventional gait quantification using foot imprints, though inexpensive, suffers from measurement subjectivity. Alternatively, Camera-based systems and Walkmats suffer from operational complexity, high-cost, and limited portability. Accelerometers and gyroscopes are portable and cost-effective, but use model-based approach (limiting inference beyond trained model) to quantify gait, coupled with drift issues. In contrast, force sensors in shoe soles allow direct sensor-based gait-event detection to quantify gait. Multiple sensors increase hardware complexity and too few sensors miss sensing gait abnormalities, making these practically infeasible.

This project aims to bridge this gap by proposing to extend our current insoles to come up with WeGaMo, a wearable, cost-effective gait quantifier which uses (a)optimal combination of sensors to sense pressure profile from cardinal points below foot,

Societal Scale CPS

Agri Robotics