This project aims to develop an AI-based predictive tool to optimize the performance and efficiency of electrical machines. By leveraging machine learning, the tool will model and predict the behavior of soft magnetic materials under various conditio
In this project IOT technology is used for monitoring the moisture requirement of plants. It will be very advantageous since a human can not distinguish fertile and non-fertile soil for plants. This IOT technology can be used to control pH and air te
This project integrates the deep learning models with a mobile application to identify the diseases and gives the suggestions to control the disease, identifies size of pineapple, its type, and maturity level.
"G-LAWN: AI-SMS" combines cutting-edge technology, sustainable charging methods, and user-friendly features to provide efficient lawn maintenance and security. The three configurations - manual, semi-manual, and AI automatic - cater to different user
Aim of the project is to develop a robust deep learning model that can accurately detect various types of traffic signs, such as speed limits, stop signs, yield signs, and more. To improve safety, enabling more accessible transportation, reducing env
This project proposes a smart helmet system equipped with IoT, GSM, and GPS technologies to enhance workplace safety. It integrates temperature and gas sensors to monitor hazardous conditions in real time and alert both the wearer and supervisors dur
Aim of the project is to build a blockchain-enabled AI platform and providing highly accurate and reliable data based on advanced algorithms for the management of EGG data.
The project aims to streamline the parking experience for drivers by providing real-time parking status updates, recommending optimal parking spots, and enabling efficient retrieval of parked vehicles
This project focusses on developing the autonomous mobile robot with robotic arm having 6 DOF of the robotic arm. The AMR will be having dual robotic arm on it for picking and placing the load on the arm with help of the robotic arm. The AMR will be
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