RESUME

PRUTHVI K S

Mobile No: 948-***-****

Email Id: aditqx@r.postjobfree.com

CAREER OBJECTIVE

Secure a responsible career opportunity to fully utilize my training and skills, while making a significant contribution to the success of the company. ACADEMIC PROFILE

Examination Institution

Board/

University

Year Of

Passing

Aggregate

B.E

Ghousia

College of

Engineering

V.T.U

2016-2020

7.41(CGPA)

12th

N.M.K.R.V PU

College for

Women

State Board

2016

70.66%

10th King’s High

School

K.S.E.E.B

Board

2014 83.68%

TECHNICAL SKILLS:

Basic knowledge of programming languages like C, C++.

Microsoft Office, Microsoft Excel.

Good knowledge of operating systems like Windows 2007, 2008, 2010.

Basic knowledge on labview.

INTERNSHIP DETAILS:

Company: TESCOM, Bangalore

Duration: One Month (9-07-19 to 9-08-19)

Worked on Topics: TESTING, INSPECTION of PCB BOARDS like MC-MR Board, ECG board, consealed device etc…

RESUME

ACADEMIC PROJECT UNDERTAKEN:

Title: Development of agribot for disease detection in plants and automated agriculture Environment: MATLAB, Ghousia college of engineering, Ramanagar Tools: Atmega328P(8 bits, 16MHZ), Lm317 voltage regulator, Relays, moisture sensor, temperature sensor, Dc motor, Liquid crystal display LCD, water pump and pesticides pump

Description: The main objective of this project is to build a robot that carries out the agricultural activities which are as mentioned above and also to detect the disease in the leaf which may further damage the plant. Zigbee is used for the communication purpose and power supply for the manual working of the robot. This robot is moves forward, backward, left and right during the activity. This robot is basically built for the small area purpose. In this project, image pattern classification is used to identify the leaf disease depending on texture and color feature extraction. Initially the robot captures a digital image of the diseased leaf of a plant and these images are read in PYTHON and processed and classified based on Support Vector Machine and the results are indicated. The results of this project are to identify the leaf diseases of the plants depending on appropriate features. At first, normal and diseased images of the leaf are collected and pre-processed. Next, from these pre-processed images features like of color, shape and texture are extracted. Then, these images are classified as diseased leaf and healthy leaf by using SVM classifier. Depending on the type of input image, the disease is indicated using SVM classifier. Based on the type of disease, a suitable pesticide is also indicated.

In this project, we demonstrated only few types of diseases which are commonly found in citrus plants and it can be extended for more diseases in future. AREA OF INTEREST:

VLSI and Embedded

Networking

IOT

ACHIEVEMENTS:

Completed 2 Days Learnathon on Iot Application Development conducted by CISCO RVCE Center of Excellence for Internet of Things.

Completed one month internship on LABVIEW conducted by VI Solutions, Bangalore. RESUME

PERSONAL DETAILS

Languages: Kannada, English, Hindi

Address: D/O Sundaresh.K.M

#A402, RVCE Quarters,

RVCE, Mysore road,

Bangalore-560059

Declaration:

I, hereby declare that all the information provided is true to the best of my knowledge and belief. Name: Pruthvi K S

Place: Bangalore

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