Eclipse

Engineering graduate with skillset in programming languages like c and java.Consistently enthusiastic in upskilling myself in this fast growing technological world.Highly interested in leadership and managerial activities .
Machine Learning
Signal Processing
Networking basics
Eclipse
Matlab
Pspice
NI multism
LabView
SketchUp
Title: “SALIVARY GLUCOSE BIOSENSOR”
Description: Salivary glucose biosensor is a noninvasive method of measuring the glucose level of the saliva.It is a small disposable strip,which when exposed to an individual's saliva instantly provides a glucose measurement.
Title: “DESIGN AND DEVELOPMENT OF ROBOTIC GLOVES”
Description: The basic prototype of robotic gloves has been designed and developed for hemiplegic stroke patients.The healthy hand (the hand with flex sensor is bend) and that signal is sent to the microcontroller resulting in the rotation of servo motors.
Title:“ANALYSIS & CLASSIFICATION OF RESPIRATORY DISORDERS USING COUGH SIGNALS”
Description: The machine learning models for two level classification of respiratory diseases has been developed.The ICBHI dataset(containing cough audios)has been used, from which we preprocessed the signal and extracted the dominant features.The machine learning models has been built from these extracted features.
Title:“AUTOMATED DETECTION OF COVID-19 USING COUGH SOUNDS"
Description: The machine learning models has been trained and developed to detect the COVID-19.The Virufy COVID-19 cough database has been used,from which the pre-processing of audio signal and feature extraction has been performed
Area of exposure: 3D organ printing
Area of exposure: Study of Biomedical Equipments
Product Management
I, DHAKSINYAA S, do hereby confirm that the information given above is true to the best of my knowledge (DHAKSINYAA S)
Product Management