Project Python

PREETHI C

E-mail: ***************@*****.***

Mobile: 959-***-****

Address: **,******** ****,

Mettupalayam, Vaniyambadi,

Vellore DT 635751

Objective

Seeking a challenging environment where I can augment my technical knowledge and effectively contribute towards the goals of concerned organization Technical Skills

Language : Python

Server-side Platform : Python

Basic UI Technologies : Html5, CSS3, jQuery,JavaScript, JSON Distributed Technology : RESTful WebServices

Framework : Flask,Django

Databases : SQL Db MySql);NO SQL MONGO DB)

IDE : Idle,Pycharm

Build Tools : pip

CAREER PROFILE

Working as a Python Developer for “Prematix Software Solution Pvt Ltd, Hosur”,from May 2017 to till date(2 years).

Education

Year Course percentage University/school

2013-2017 B.E CSE 80% Government College of engineering,Bargur 2013 XII 95% Adhiyaman matric Higher Sec.School,Uthangarai 2011 X 95% Hindu Higher Sec.school,vaniyambadi

PROJECT SUMMARY

Project#1 : Credit Card-API

Environment : RESTful WebServices,OpenCV,Python,Flask,Tesseract Description :I have created a Credit Card-API is Application programming Interface.Which will get the Image with Credit Card Number as input and return the Card number and valid years.And this API will gives 90% of accuracy for clear image.

Project#2 : Chat Bot-Flight

Environment : HTML5, CSS3, JavaScript, Bootstrap, RESTful WebServices, JSON, jQuery,AJAX,PYTHON,Chatter Bot,nltk,ELIZA Description : I have developed a flight booking chatbot which can be integrated it with web applications.I have used eliza matching patterns for training chatbot and API's for flight booking. Project#3 : Online Secure Voting

Environment : Python,Flask-FrameWork,MySql, HTML5, CSS3, Bootstrap, JavaScript Description :In this project I have handled the user module and voting module.I have used hashing algorithm to protect the user details.To make the polling vote more secure I added the face recognition while trying to poll the vote and to avoid spoofing I also added eye blink detection of users while voting.

Project#4 : Face Recognition

Environment : Python Machine Learning

Description :In This Project I have used machine learning facial recogition packages to pre Train the Known Faces with Names and matching it with the Input faces. It captures the 128 Face points for Recognizing the most appropriate Faces.

Project#6 :Management system for university,school Environment : Python,Flask-FrameWork,Mongo Db

Description :I have done API web services for user modules Declaration:

I hereby declare that the above details furnished by me are true to the best of my knowledge.

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