Engineering Teacher

OMRAVAN P M MONIKA

*-*** *** ******, *******, Nagari,

Chittoor(D), Andhra Pradesh - 517590

******.*****@*****.***, +91-900*******

CAREER OBJECTIVE:

To work for an organization which provides me the opportunity to improve my skills and job satisfaction along with the organization objectives.

ACADEMIC QUALIFICATION:

Course

Institution

Board/

University

Year of Completion

Percentage

B. Tech

(CSE)

Sri Venkatesa Perumal College of Engineering and Technology, Puttur

JNTU Ananthapur

2019

70.00

Higher Secondary

Sri Surya Junior College,

Nagari

Board of Intermediate Education

2015

72.30

Secondary School

ZP High School Pudupet, Nagari

State Board

2013

92.00

TECHNICAL SKILLS:

• Programming Languages : C and Java

• Database : SQL

• Web technologies : HTML

AREA OF SPECIALIZATION:

• Database Management System (DBMS).

WORKSHOPS ATTENDED:

• Attended a workshop on “Cloud computing” in svpcet.

• Attended a workshop on “Python programming” in svpcet.

• Attended a workshop on “Structured Query Language" in svpcet.

STRENGTHS:

• Confidence

• Punctuality

• Self motivator

• Hardwork

EXTRA CURRICULUMS ACTIVITY :

• Sewing

• Dancing

• Gardening

PROJECT DETAILS:

PROJECT TITLE: Deep Learning Based Automatic Attendance System

ABSTRACT:

The conventional method of taking attendance is done manually by the teacher or the administrator which requires considerable amount of time and efforts also involving errors and proxy attendance. As the number of students are increasing day by day, it is a challenging task for universities or colleges to monitor and maintain the record of the students. Automated systems involving use of biometrics like fingerprints and iris recognition are well developed in the recent years however, it is intrusive and cost required for development on large scale gets increased substantially. To overcome these issues, we introduce facial recognition, this can be used which involves the phases such as image acquisition, face detection, feature extraction, face classification, face recognition and eventually marking the attendance. The problem of redundancy in manual records and keeping attendance is solved by this system.

PERSONAL DETAILS:

• Father's Name : P P Mahadevan

• Date of Birth : 13-02-1998

• Languages Known : English, Tamil and Telugu

• Hobbies : Exercise, Dancing, Listening songs, Sewing

DECLARATION :

I, hereby confirm that the information given above is true to the best of my knowledge.

Date :

Place : (PM MONIKA)

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