Mobile : 968-***-****
OBJECTIVE: To work with maximum potential in a challenging and dynamic environment, with an opportunity of working with diverse group of people and enhancing my professional skills with learning and experience for career growth
COURSE SPECIALIZATION INSTITUTE/COLLEGE BOARD/UNIVERSITY MARKS YEAR X General Manasarowara Pushkarini
CBSE 10 CGPA 2012
XII Science Mother Teresa Pre-University
college with Deeksha Integrated
Karnataka Pre-University Board 88.33 % 2014
Vidyavardhaka College of
Traffic light system using Arduino
Illustration of working model of traffic light system using Arduino UNO R3, LEDs,breadboard,resistors and a pushbutton switch . Motion sensing alarm using Arduino
Development of a motion sensing alarm using Arduino UNO R3 and Passive Infrared (PIR) sensor . The sensor detects infrared energy emitted by a person and outputs 5V signal to Arduino. Once Arduino detects an intruder, an alarm sound is triggered through a piezoelectric buzzer.
Participated in a technical workshop on “ PCB design and testing” at “ Vidyavardhaka College of Engineering “, Mysore .
Attended the workshop on “Matlab and its applications” conducted by “The Institute of Electronics and Telecommunication Engineers” Mysore centre .
Attended technical training in “Telecom Technology “ at RTTC,Mysore
Participated in the robotics competition “Eyantra-2016” organized by IIT-Bombay .
Participated in “India Innovation Challenge Design Contest –2016“ organized by Texas Instruments Inc. in collaboration with Department of Science and Technology (DST), anchored by Indian Institute of Management (IIM) Bangalore . ACHIEVEMENTS
Secured All India Rank (AIR) 95 in the Indian Engineering Olympiad (IEO) exam held in February 2018
Secured first prize in technical paper presentation on the topic “Diagnosis of Visible Diseases using Artificial Intelligence”, organized by Vidyavardhaka College of Engineering, Mysore.
Secured third prize in Avishkar at SRISHTI-2018,State Level Project Exhibition and Competition on the topic “Diagnosis of Visible Diseases using Artificial Intelligence”, organized by Dayananda Sagar College of Engineering, Bangalore PROJECT WORK
Title : Diagnosis of Visible Diseases using Artificial Intelligence Duration : 4 months
Team size : 4
Project Guide : Prof. Sandeep R, Prof. Chethan K
Description : In our project we have implemented Convolutional Neural Network (CNN) based solution for the skin lesion classification of the following eight diseases – Acne, Chickenpox, Herpes, Lupus, Melanoma, Ringworm, Psoriasis and Vitiligo.The Classification of disease is done by training the neural network using two softwares – MobileNet and Inception_V3 . Our solution can detect these diseases with accuracy upto 99% PERSONAL DETAILS
Permanent address : “Maralika”,#25,2nd block, SBM Colony,Srirampura 2nd stage,Mysore-23 Languages known : Kannada, Hindi,English
Date of birth : 11 May,1996