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Sec School Photo

Location:
India
Salary:
18000
Posted:
April 17, 2023

Contact this candidate

Resume:

RESUME

JESILINE.J

***/ *,*.* ******,

Ariyur (PO),

Lalgudi (TK), Mobile No: 822*******

Tiruchirappalli – 621702 E-mail : ************@*****.***

Career Objective :

Seeking a challenging position in an esteemed organization, utilizing educational background that will impact development of my organization and to enrich

my professional skills.

Educational Qualifications:

Qualification

Institution

University/ Board

Year of Passing

Percentage

SSLC

Govt.Hr.Sec School Anbil

State Board

2012

72%

HSC

Govt.Hr.Sec School Anbil

State Board

2014

70%

BE.CSE

Oxford Engg College,Trichy

Anna University

2018

70%

Technical Skills:

Operating System : Windows Family

Languages : C, C++, Java Basic

Others : MS - Office

Training Attended:

Undergone an Im-plant Training On Bharat Sanchar Nigam Limited Trichy.

Workshop Attended:

Participated in two days workshop on Programmed “ KGISL “ in Coimbatore.

Project:

Project Title : My Decision and my privacy control of photo sharing

on online social networks

Description : Photo sharing is an attractive feature which popularizes Online Social Networks (OSNs). Unfortunately, it may leak users’ privacy if they are allowed to post, comment, and tag a photo freely. In this paper, we attempt to address this issue and study the scenario when a user shares a photo containing individuals other than himself/herself (termed cophoto for short). To prevent possible privacy leakage of a photo, we design a mechanism to enable each individual in a photo be aware of the posting activity and participate in the decision making on the photo posting. For this purpose, we need an efficient facial recognition (FR) system that can recognize everyone in the photo. However, more demanding privacy setting may limit the number of the photos publicly available to train the FR system[1]. To deal with this dilemma, our mechanism attempts to utilize users’ private photos to design a personalized FR system specifically trained to differentiate possible photo co-owners without leaking their privacy. We also develop a distributed consensus based method to reduce the computational complexity and protect the private training set. We show that our system is superior to other possible approaches in terms of privacy using encryption algorithm and open source. Our mechanism is implemented as a proof of concept Android application on Face book’s platform.

Advantages:

Secret sharing photo unknown person cannot access .The Photos and any Data its Access permission only.

Work Experience:

I am worked for 3 months production company Flextronics in Chennai .

Worked in Hospital Management Dr.G.Viswanathan Hospital,Mambalasalai,

Trichy.(2 years)

Strength:

Strong willed Person

Hardworking Person

Personal Details:

Father : M.Johnpeter

Mother : J.Mariyapushpam

Gender : Female

Nationality : Indian

Religion : Christian

Languages : Tamil, English

Hobby : Hearing songs, Playing Music and Reading bible

Declaration:

I hereby, Solemnly declare that all the information’s provided above are

true and correct to the best of my knowledge and belief.

Place:

Date:

(J.JESILINE)



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