About the award

Shortlisted Nominations

Name Innovation
Dr. Sayali Muley (PT) & Akshat Kotpalliwar Stroke Sarathi is a 90-day hospital-to-home care programme for caregivers of stroke survivors. It combines four live physiotherapist-led video sessions on safe caregiving, mobility, complication prevention and mental well-being with a multilingual WhatsApp AI companion offering continuous guidance, answering questions and escalating warning signs to physiotherapists.
Dr. Satyam Srivastava & Suraj Kumar Mukhiya An indigenous AI-integrated 4K Laparoscopy Suite for minimally invasive surgery, combining high-resolution imaging, illumination, fluid management, CO₂ insufflation and smoke evacuation. Clinically validated and regulatory-compliant, the technology was transferred to Healthium Medtech for ₹1.18 crore, marking CSIR-CEERI Pilani’s highest technology-transfer fee and demonstrating successful commercialization of indigenous medical innovation.
Vidhya Rajendra Parshuramkar & Mahesh Londhe Nutri Dabba, developed by Agrozee Organics, tackles iron deficiency anemia through iron-rich, millet-based foods. Its patented Hydro-NIR technology extends pearl millet flour’s shelf life to six months without preservatives. Combining AI-enabled farming support, women-led production and community nutrition programmes, it has reached over 163,000 children and women, promoting sustainable nutrition and rural livelihoods.
Satheesh S & Raveesh Grewal Nava Chakra is an in-house chemotherapy management platform at Nava Cancer Institute, Kozhikode, digitizing treatment scheduling, chair and bed allocation, patient tracking and pharmacy coordination at zero licensing cost. Integrated with the hospital HIS, it provides WhatsApp reminders, flags missed cycles and streamlines daily operations. Currently in active use, the platform is also testing drug-demand forecasting.
Om Agrawal & Kruti Kukreja DripGuard is a low-cost, clip-on IV monitoring sensor that uses infrared technology to track drip rates and predict when fluid will run out. It alerts nurses to abnormal flow, stoppages and near-empty bags through bedside alarms and a Wi-Fi-enabled dashboard that works without internet. Designed to improve patient safety and nursing efficiency, it targets ±10% accuracy, pending validation.

Jury

Prof. S. Venkataramanaiah – Professor, Operations and Supply Chain Management, IIM Lucknow
Dr. Saurabh Gupta – Professor (Assistant), NIT Raipur
Mr. Munish Bhatia – Co-Founder, India Accelerator

Procedure