Ece Controller

Curriculum Vitae

M.Priyanka Email Id: *************@*****.***

Fresher BE ECE Mob: +91-995*******

CAREER OBJECTIVE

To pursue a challenging career and be a part of progressive organization that gives a scope to enhance my knowledge and utilizing my skills towards then growth of the organization. EDUCATIONAL QUALIFICATION

QUALIFICATION INSTITUTION/

SCHOOL

UNIVERSITY/

BOARD

YEAR OF

PASSING

CGPA/

PERCENTAGE

B.E- Electronics and

Communication

Engineering

Scad college of

Engineering and

Technology

Anna University 2019 6.68%

HSC

Fatima girls Higher

Secondary School

State Board 2015 76.25%

SSLC

Fatima girls Higher

Secondary School

State Board 2013 89%

CERTIFIED COURSES

Certified UDEMY online course in Micro Controller and C language on 22th Dec 2017. SOFTWARE PROFICIENCY

Languages: Basics of C, C++.

AREA OF INTEREST

Embedded

Digital Image Processing

CO-CURRICULAR ACTIVITIES

Internship attended in UNIX technologies based on Android Botix using Arduino and Brain Wave Robotics.

In-plant training attended in UNIX technologies based on All India Radio.

Multiple Symposium workshop attended in Mother Theresa College.

Brain Wave Robotics workshop attended in Trichy Anna University College.

Nursery & India Medicine workshop attended in Scad Engineering College.

Technical Skill Development Program workshop attended in Scad Engineering College.

In-plant training attended in ECCI ACADEMY based on JAVA. INTERPERSONAL SKILLS

Quick Learner

Good team player.

Easily adopt to new environment.

Curriculum Vitae

M.Priyanka Email Id: *************@*****.***

Fresher BE ECE Mob: +91-995*******

PROJECT DETAILS

Project Name: An efficient method of tampering detection for image compression. Project Description

The task of verifying the originality and authenticity of images put numerous constrains on tampering detection algorithms. Since most images are acquired on the internet there is a significant probability that they have undergone many transformation. The transformation such as compression, noising, re-sizing and filtering. Therefore, it is essential to improve the robustness of tampered image detection. Deep learning approach-camera model identification, Image transformation, Patches extraction, Conventional neural networks for camera model identification, Tampering image detection. PERSONAL DETAILS

Father’s Name : R. Muthaiah

Date of Birth : 27.05.1998

Languages known : Tamil, English

Gender : Female

Marital status : Married

Nationality : Indian

Passport : U2268231

Present Address : 2/164-A, Indira Gandhi Street

Puthu Nagar, Perumbakkam

Chennai - 600100.

DECLARATION

I here declare that all the information mentioned above is true to my knowledge and I hear the responsibility for the above mentioned particulars.

Place: Chennai

Date: Signature

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