This project develops intelligent predictive and prescriptive systems for managing traffic and pavement conditions in smart cities. Using advanced analytics, IoT, and AI, it forecasts traffic flow and pavement deterioration, enabling proactive mainte
To develop a smart helmet that can be used for both civilian and military personnels etc. This smart helmet can alert medical professionals and first-aid responders about the probability of any serious internal head injuries before the victim or suff
The project involves developing a seismometer prototype using a geophone sensor, integrating Arduino for data recording and transmission, and setting up a remote server for receiving and processing data. Additionally, it includes ensuring continuous
This project involves creating a subscription-based web platform for asset monitoring and management using open satellite remote sensing data. Users can submit requests based on location, time, and application. The system automates data processing an
Advanced BL Tester: Detection of the presence of drug resistant pathogen. Detect the expression of SBL, MBL, and Efflux pump(EP) from biomedical samples like Urine, Pus, Saliva, Ascitic fluid, Blood, Sputum. Advanced BL Tester will be available as a
Aim is to design and fabricate Ga2O3 HEMT-based biosensor for detection and diagnosis, including device fabrication and functionalizing floating gate surface with appropriate bio-receptors and To develop a smart and portable diagnosis kit based on th
Aim is to design and develop microstrip patch antenna (MPA) with a suitable metasurface (MS) reflector and To develop the Rapid and Real Time Monitoring of the Antimicrobial Susceptibility Testing (RRMAST) system to optimize the sensitivity of the RR
The valet robot revolutionises the traditional approach, providing a unique pick-and-place approach for the parking. Rather than driving the vehicle to its proper parking place, it is picked up by the bot and placed in the correct position. It has an
This project aims to develop a low-cost electrochemical biosensor comprising 3D printed polymeric electrode using Poly-Lactic Acid (PLA), modified with conductive carbon black nanoparticles. Such electrodes can be assembled on a paper-based template
The objective of the proposed project is to detect lung disease (or any lung related abnormalities) from the normal speech and out-of-breath speech. Till date, there are no state-of-the-art methods for detection of lung disease from the speech signal
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