Contact
Education
Phone
adzu6h@r.postjobfree.com
seeyambadi, ranipet-
632518.
Address
NISHA R
J u n i o r W e b D e v e l o p e r
Keenly interested in innovative, result-oriented projects and seeking challenging opportunities and positions, to utilize my technical knowledge to accomplish the goal of the industry.
PROJECTS
The chat bot identifies the user’s sentiment by chat conversation with the user. Based on the input provided by the user, current emotion or mood is analysed by the chat bot it will suggest song to the user .
Chat bot Song Recommender System
Personal Details
HSC from S.S.Hr.Sec.School, Arni, with
68%.
B.E., in Computer Science and
Engineering from University College
Of Engineering Arni, Thatchur with
CGPA of 8.2
2019-2023
2018-2019
ReactJS
CSS
Python
MySQL
HTML
Techinical Skills
Language
2016-2017
SSLC from S.S.Hr.Sec.School, Arni with
85%.
TAMIL
ENGLISH
Inventory Management System For Retailers
DOMAIN - CLOUD
Retail inventory management is the process of ensuring you have enough inventory to meet customer demand so that you don’t end up with too little or too much merchandise. It’s essential if you’d like to avoid situations where you run out of popular items or end up with excess items that nobody is buying
Classification and Enhancement of SAR Images
DOMAIN - Machine Learning
Image Classification nowadays is used to narrow the gap between the computer vision and human vision so that the images can be recognized by machines in the same way as we humans do. For the precise image classification, a novel neural network based convolution method is proposed. A new spiking neural network (SNN) algorithm is also applied to increase the contrast and quality of the input image resulting in an enhanced output image.
Name : NISHA R
Date of Birth : 07-11-2002
Gender : Female
Nationality : Indian
Martial status : Single
Certification
TCS iON Career Edge - Young Professional course from 11th January to 25th January 2022.
Inventory Management System For Retailers from IBM on 28th February 2023.
Introduction to cloud from IBM on 14th April 2023.