Hello!
I'm Shilpi Mukherjee,
Computer Science and Engineering undergrad.
On my journey of being a tech wizard.
Let's get in touch at shilpim.cse2018@nsec.ac.in
Hello!
I'm Shilpi Mukherjee,
Computer Science and Engineering undergrad.
On my journey of being a tech wizard.
Let's get in touch at shilpim.cse2018@nsec.ac.in
I’m a Computer Science and Engineering junior at Netaji Subhash Engineering College based out of Kolkata. I'm passionate about developing applications that drive meaningful impact in people's lives. Through several hackathons, internships, technical projects with engineering project teams, and CS undergraduate research, I've explored different fields in software development ranging from machine learning, deep learning, image processing and full-stack web applications development.
At my current internship, I am with the Machine Learning Research team, for developing ML and DL models according to the product development need and integrating it with the application.
In this internship I worked as a Machine Learning Researcher, our team developed an ML model and integrated with the user interface of the application.
Aug 2020 - Honor issuer: MHRD Govt. of India.
I mentored a team whose problem statement was "Antimacrobial stewardship platform" given by AWS. They were finalist of SIH Software 2020
Jan 2020
SURAKSHANA : Steroid Detector for meat and milk.
Jan 2020
Jan 2020
BACKBENCHERS : A Multilingual Educational Web & Mobile Application.
Dec 2019 Honor issuer: Govt. of Madhya Pradesh
Was selected among top 1800 teams across India to attend Bhopal Smart City Hackathon Finale and acknowledged as an Innovative data science and flutter developer.
Nov 2019 Honor issuer: Govt. of West Bengal
Wearable Health Device : PoShirt - to correct the posture.
We created a wearable device to make the posture perfect. Me & my team-mate worked on around 2300 samples and fixed a model using Tensorflow, which was directly integrated with our hardware device.
Oct 2019 Honor issuer: KPIT
SCR (Selective Catalytic Reduction) Monitoring System
We have developed a LSTM + Tensorflow to minimise the NOx (Nitrogen Oxides) emission in environment and using this model we can identify the SCR efficiency of engine in real time.
Oct 2019 Honor issuer: NASA Space App Challenge Foundation
Surface -To-Air (Quality) Mission
Me along with my team, integrated LSTM - Tensorflow + Flutter to create a model based app of air quality surface that displayed the most accurate data for a location and time along with creating an algorithms that select or weight the best data from several sources for a specific time and location, and display that information.
Oct 2019 Honor issuer: NASA Space App Challenge Foundation
Within 24 hrs, Me along with my team created an Accident Prevention Prototype with Live Vehicle tracking that helps to report accident in a real time. The system runs of KNN-Random_Forest-SVM-Tensorflow-Flutter
Sep 2019 Honor issuer: NASA Space App Challenge Foundation
Jul 2019 Honor issuer: MHRD Govt. of India.
"Water From Thin Air"
My team developed the device to produce water from air. My part was to develop an optimised solution using Machine Learning Algorithm to control the air pressure and maximise water production in different climatic conditions.