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Hi, I am
Sharmistha Mandal
Fullstack De|

About Me

I am Sharmistha Mandal,currently pursuing B.tech in Information Technology department at Jalpaiguri Govt. Engineering College,Jalpaiguri.

I love learning about new technologies, what problems are they solving and How can I use them to build better and scalable products.

PROJECTS

React ToDo App
React ToDo App
PROJECT DETAILS
Description: This is a Todo App created with React that keeps a track of your Todos
Features:
  • Keeps track of your Todos
  • Powered by React and Material UI
  • Respoisive Design
Tech used:
  • HTML 5 HTML5
  • CSS 3 CSS3
  • React React
LIVESOURCE CODE
COVARATE
covarate
PROJECT DETAILS
Description: Covarate is a Django Covid-19 web app with ML. This website can provide live update of covid-19 situation in all over the world and It can predict covid-19 infection probability of any person by some common symptoms like body temperature,breathing difficulty level etc...people have to fill up the contact form and they can easily see the infection probability in a percentage value.
Features:
  • Know the present scenario of Covid-19 in all over world.
  • Easily know your infection probability.
  • Pedictiction method used.
Tech used:
  • HTML HTML
  • CSS CSS
  • Bootstrap Bootstrap
  • Django Django
  • CHART Chart.js
LIVESOURCE CODE
MAYO MOMO
covarate
PROJECT DETAILS
Description: This is an Online Momo Store which is a React-Django web application with Braintree Payment Gateway.
Features:
  • Can place a order online.
  • Fullstack Web application.
Tech used:
  • REACT REACT
  • DJANGO DJANGO
  • Bootstrap Bootstrap
LIVESOURCE CODE
EDC JGEC
covarate
PROJECT DETAILS
Description: This is the Website of the Entrepreneurship Development Cell of JGEC.
Features:
  • My College's Entrepreneurship Development Cell Website.
  • Frontend Web application where all the informations related to EDC are present.
Tech used:
  • HTML HTML
  • CSS CSS
  • JS JavaScript
  • Bootstrap Bootstrap
LIVESOURCE CODE

EXPERIENCE

NIT Rourkela

Research Intern
Technology: Deep Learning, Python
Duration: April 2020 - September 2020
Description

  • explored the topic "Neighborhood based Collaborative Filtering in Recommender System" and various deep learning models in the light of recommender systems.
  • Worked & contributed towards drafting a research article which is now under review.
  • Contributed on Proposed Methodology Part.

RJ Infocom Pvt. Ltd.

Software Engineer Intern
Technology: HTML, CSS, JS, PHP, MySql
Duration: November 2020 - January 2020
Description

  • working on fullstack Ecommerce stores with Payment Gateway.
  • Performed CRUD operations on multiple databases to load/ remove data according to the business requirements.

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© Sharmistha Mandal   2025