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Non-Invasive Glucometer for Diabetes Prediction

Status: New

Lab/Organization
Name & address of the Laboratory/Organization Indian Institute of Technology (IIT), Mandi
Website address www.iitmandi.ac.in
Affiliated to which Department/Ministry Indian Institute of Technology (IIT)
CSR Registration Number CSR00057737
Registration under 12A AAALI0149JF20221
Registration under 80G Exemption under notification vide no. CCIT(E)/order u/s 80G(2)(a)(iiif)/2016-17/1480
Name of the CSR Nodal Prof. Varun Dutt
Contact information of CSR Nodal +91 1905 27945, dora@iitmandi.ac.in
Principal Investigator Prof. Varun Dutt, varun@iitmandi.ac.in
Dr. Varun Dutt, IIT Mandi
Co- Principal Investigator (Co-PI) Prof. Arnav Bhavsar, arnav@iitmandi.ac.in
Project Detail
Objective on the basis of need

To develop a cost-effective, non-invasive solution for diabetes prediction using advanced sensors.

Executive summary of the proposed project (In 250 words)

The project focuses on creating a non-invasive glucometer that leverages comparative analysis of ECG and PPG sensors for accurate diabetes prediction. Validated on 552 participants, the device aims to provide affordable and accessible diabetes screening.

Technology Readiness Level (If not a new project but an advancement of existing know how) TRL 5 - Technology validated in a relevant environment.
Outomes or Deliverables

Accurate and non-invasive diabetes prediction. Reduced barriers to early diabetes detection.

Project aligned with which most relevant UN SDGs Goal 3 - Good Health & Well-Being
Goal 9 - Industry, Innovation & Infrastructure
Duration (In years) 1 year
Expected Impact

Broader access to diabetes screening in resource-limited settings.

Implementation model (self- implemented/ outsourced partnership) Collaboration with healthcare providers for pilot deployment.
Total Budget (Recurring +Non-Recurring Expenses) INR 15 lakhs