Developing a mobile application for shrimp disease detection can offer several advantages over existing approaches, potentially revolutionizing how shrimp health is monitored and managed in aquaculture.
To build energy-efficient neuromorphic computing and logic-in-memory (LiM) computing applications for cyber physical systems, a ground-breaking idea known as 2D material-based SOT-MRAM with a Bias-layer has been presented out for the first time.
The project is oriented towards the development of low-cost, highly efficient indoor photovoltaic devices and the implementation of the prototype device towards large-area device applications.
This project aims to design and develop an IoT based engineering device which effectively identifies the Fire Spark during the Gun powder preparation in the Fire Cracker manufacturing industries and to develop customized machine learning based algori
Aim is to develop technology driven agricultural device which allow the farmers to monitor the agricultural yard and its behaviour through Drone Twin (DT) and to design the hybrid drone which combines the features of Digital Twin to enhance the quali
Aim of the project is development of android application to help Alzheimer patients for their safety, enhance learning capability, reminders, social contacts and other features.
Smart and Secure Farming refers to the application of modern technologies and data-driven approaches in agriculture to enhance productivity, optimize resource usage, and ensure the sustainable growth of the agricultural sector. IoT plays a crucial ro
The main objective of this project is to develop a prototype of a modified high gain q-ZSI for single-stage Fuel Cell Hybrid Electric Vehicle which can be smoothly operated even in Hilly terrain.
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