Experienced in fast-paced environments and adaptable to last-minute changes. Thrives under pressure and consistently earns high marks for work quality and speed.
Programming & Scripting Languages: Embedded C, VHDL, R, Verilog and Python
Tools: R Studio,MATLAB, LTSpice, Xilinx Vivado, ModelSim
Software's/Packages: Visual Studio Code, Windows, Ubuntu
Leaf Disease Detection and Remedy Recommendation System, MLRITM - HYD, (07/2022, 11/2022), Aim of this project is to identify the disease present in the leaf and recommend a Remedy for the disease, This project focuses on the discovery of the high accuracy of leaf image diseases using a deep learning approach., The main purpose of this project is to acquire better performance in the identification of leaf diseases.
Car Parking Availability Monitoring Over IoT, MLRITM - HYD, (09/2021, 12/2021), In this project, we present an IoT based cloud integrated smart parking system., Created a web page and an application to monitor and signalise the state of each single parking space.
Smart Helmet for Accident Prevention, MLRITM – HYD, (12/2022, 03/2023), The objective of the smart helmet is to provide a means and apparatus for detecting and reporting accidents., Sensors and cloud computing infrastructures are utilized for building the system.