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python
java
c++
html
php
Kavya
Kavya Etukuri

https://www.engrip.com/kavya-etukuri

Career Objective

To work in a field that challenges my technical and analytical abilities.I would like to enhance my skills and holistic knowledge while working and contributing towards the goals of organization i am working with.

Education

B.tech
Vignan's lara institute of technology and science
Computer Science and Engineering
76.6
2015 to 2019

General Information

Languages Known
Englis,telugu
  • Read
  • Write
  • Speak
Current Location
Tenali,india
Hobbies
Reading books,playing games

Overview

door unlocking using face recognition
team member
vignan's lara
Nov 2018 to Mar 2019
This is the idea of secure locking automation utilizing IOT for door unlocking system to provide essential security to our homes, bank lockers and related control operations and security. It uses an image capturing technique in an embedded system based on raspberry pi server system. RPI controls the video camera for catching it for turning on a relay for door unlocking. The module contains a secured face recognizer for automatic door unlocking. The camera catches the facial picture and compares it with the image which is stored in the database. If the picture is found in the database then the door lock opens otherwise it will produce a SMS that an unknown person is trying to gain access. In these modern times, home security is the need of the hour for the development of society as a whole which in turn will help make our cities smart, so the concept of facial recognition to gain access of the house is an idea which is used to make our place of living more secure. A facial recognition system is a system which captures facial images and verifies the identity of a person using a digital camera. The human face assumes an essential part in our social association, passing on individuals character. Utilizing the human face as a key to security, biometric confront acknowledgment innovation has gotten tremendous consideration in the previous quite a while because of its potential for a wide assortment of utilizations. A facial acknowledgment framework is a framework which gets facial pictures and confirms the character of a man using a propelled camera. It is an application fit for distinguishing or checking a man from a computerized picture. One approach to do this is by looking at chose facial components from the picture and a face database. As stood out from other diverse biometrics frameworks utilizing unique mark/palm print and iris, confront acknowledgment has unmistakable favorable circumstances due to its non-contact handle. Face pictures can be caught from a separation without touching the individual being recognized, and the ID does not require participating with the individual. It is normally utilized as a part of security frameworks and can be contrasted with different biometrics. It has additionally turned out to be main stream as a commercial recognizable proof and advertising instrument.
Hangman Game Using Python
team member
Vignan's Lara Institute Of Technology And Science
Jul 2018 to Sep 2018
Hangman is a popular word game in which one player chooses a secret word and another play attempts to guess the word one letter at a time. If a guessed letter appears in the word, all instances of it are revealed. If not, the guesser loses a chance. If the guesser figures out the secret word before he or she runs out of chances, he or she wins. If not, the player who chose the word wins.