Healthcare in remote and tribal areas faces significant challenges, especially when it comes to screening Anaemic & CBC count in point-of-care (remote location) settings. Traditional microscopes require skilled pathologists to manually focus and anal
Objective is to design Mobile App for visually impaired tribal for their basic survival. This application aims to tackle the significant mobility and navigation challenges faced by the visually impaired tribal, who struggle with independent indoor an
This project aims to develop a portable electrochemical sensor for detecting biomarkers like the S100B protein for acute brain injury. Using porous silicon-based skin patch electrodes, it analyzes sweat, saliva, or blood samples. The device integrate
This project aims to improve sustainable agriculture in Gujarat's tribal regions by developing bio-based emulsions with natural clay particles. The emulsions enhance agrochemical delivery, reduce chemical dependency, and boost crop yields. By promoti
Developing and commercialising a high-efficiency motor drive system. The system utilises a modular half-bridge inverter topology specifically designed to drive motors.de veloping a versatile motor driver board compatible with BLDC, PMSM, and similar
The novel control methodology for the IPMSM drive train in the solar environment by eliminating the DC-DC charge pump. In addition, the double integral control methodology proposed in the speed regulation ensures the smooth operation (vibration free
This project enhances structural monitoring by integrating laser scanning with adaptive UAV-based trajectory planning for hostile terrains. It combines satellite/airborne point cloud data with vision-based images, overcoming blind spots and occlusion
The Automatic Visual Inspection System (AVIS) leverages edge computing and AI technology to provide real-time defect detection across multiple industries. AVIS represents a significant advancement over existing solutions by offering greater accuracy,
Hydrogen-based autonomous vehicles (H2AV) are emerging technology gaining momentum in India’s push for green mobility. Growing investors’ interest for sustainable energy sources in transportation domain attracts significant attention towards H2AV
Deployment of Machine Learning Model and Real Time predictions. The developed model was deployed on the cloud for real-time prediction. They choose Microsoft Azure as their cloud infrastructure for model deployment. Deployment involves wrapping the m
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