NELLORE LAKSHMI SAILESH REDDY
Sathavahana Nagar, Kurmannapalem, Visakhapatnam- 530046.
To obtain a challenging position in a high quality engineering environment where my resourceful academic skills will add value to organizational operations and to gain experience in the field.
NAME OF THE
Bharath Institute of Higher Education and Research
(Electronics and Instrumentation Engineering)
Narayana Junior College
Ravindra Bharathi School
Undergone Industrial internship training in Visakhapatnam Steel plant in
“AIR SEPARATION PLANT” from 23.12.2019 to 04.01.2020.
Attended the two day workshop on “Industrial IOT for Remote Monitoring & Management” Organized by Department of EIE on 21-22 of March 2019 at “BSA Crescent Institute of Science & Technology Chennai.
Productivity Tools & Software’s
: MS Word, MS Power point, MS Excel
In the project we come across to recognize the person based on palm print from images. To Perform Feature Based Classification effectively with good accuracy rate.
Biometrics is the most secure and reliable tool for the identification and recognition of human, because it can’t be stolen, but it can be borrowed.
Biometrics is based on the uniqueness of human features. All other recognition methods such as Iris, Face, and Finger can be manipulated compared to palm.
In our project we have used RNN to identify and classify the biometrics.
Achieved “NCC” certificates B & C with GRADE ‘A’ and
Rank “Cadet Senior under Officer” in Indian Army Wing.
Attended Army attachment camp which was held at “2nd Lancers (GH) from 1st November 2018 to 10th November 2018.
Awarded 2nd place in “7th National Open Karate Championship-2012”.
Awarded 2nd place in “State Level Karate Championship-2012”.
Awarded 2nd place in “District Invitational Karate Championship-2013”.
Ability to multitask.
Very creative and innovative by nature with presence of mind.
Can adapt to new techniques and concepts quickly.
Possess leadership qualities and skills
Date of Birth
Travelling, Sports and Volunteer Work
Telugu, English & Hindi
I hereby declare that the information furnished above is true to the best of my knowledge and belief.
ACADEMIC PROJECT: Biometric Palm Print Identification and Classification using Recurrent Neural Networks