Debabrata mallick

https://www.cse.iitb.ac.in/~debabrata/

Data Scientist

June 13, 2026 – Present

PowerBI-Healthcare-Project

June 24, 2024 – June 24, 2024

PowerBI-Healthcare-Project — GitHub repository

Container-using-Linux-namespaces-and-cgroups

July 20, 2022 – July 20, 2022

In this assignment, you will understand how containers work by building one from scratch yourself. You will also experiment with existing container frameworks. Before you begin, you are expected to have a good understanding of Linux namespaces and cgroups as studied in class. You will also benefit from reading helpful articles online on how to build containers from scratch, like this tutorial. Every container needs a good root filesystem. The easiest way is to download one online, e.g., from this link that is provided in the previous tutorial. If you wish to build a root filesystem yourself, you can find some great resources online like this talk. This talk demonstrates several tools to build a root filesystem, including Buildroot. If you have never used containers before, it is a good idea to install and run one or more popular container frameworks like LXC and Docker, to understand the behavior of containers.

Cloud-management-system-using-the-libvirt-API

July 20, 2022 – July 20, 2022

Introduction Many popular cloud management systems and virtualization tools are built over the libvirt API. The libvirt API lets users deploy and manage the lifecycle of VMs spread over multiple physical servers, and works across a variety of backend hypervisors. The goal of this assignment is to familiarize yourself with the libvirt API by using it to build a simple framework to manage cloud applications. In this assignment, we will build the autoscaling functionality that many cloud management systems provide to the cloud users. Real-life systems and cloud applications today (e.g., web servers, database servers) are built to be scalable, so that system performance can keep up with increasing load. A cloud application deployed on VMs or containers can be scaled either horizontally (by adding more replica VMs) or vertically (by increasing the resources allocated to the existing VMs). We will focus on horizontal scaling in this assignment. The scaling can be triggered in many ways, e.g.

Blood-Cell-Image-Classification-for-Detecting-Malaria-using-CNN

July 20, 2022 – July 20, 2022

Abstract: (1) Malaria is a serious disease that can make humans ill and sometimes it becomes a fatal disease that leads people to die. It is caused by a parasite that commonly infects a definite type of mosquito. Its symptoms are quite similar to normal flu so it is necessary to know accurately whether a person is malaria-infected or not. In our project, we will try to proposed a model that makes an assumption about which people are infected in terms of their symptoms. (2) We will try to illustrate a model with the help of deep learning (Like: Convolutional Neural Networks) or classification algorithms (Like: Supervised Machine Learning) for justifying the dataset. (3) We have collected the dataset from Kaggle but the data is originally from National Library of Medicine (NLM). The dataset includes more than 27,000 images in which half of the images for ‘Uninfected’ and other half for ‘Parasitized’ patients (4) Moreover, our project may takes the initiative to justify non-contagious mal

Shopping_Cart

May 11, 2022 – May 11, 2022

<p align="center"><img src="https://laravel.com/assets/img/components/logo-laravel.svg"></p> <p align="center"> <a href="https://travis-ci.org/laravel/framework"><img src="https://travis-ci.org/laravel/framework.svg" alt="Build Status"></a> <a href="https://packagist.org/packages/laravel/framework"><img src="https://poser.pugx.org/laravel/framework/d/total.svg" alt="Total Downloads"></a> <a href="https://packagist.org/packages/laravel/framework"><img src="https://poser.pugx.org/laravel/framework/v/stable.svg" alt="Latest Stable Version"></a> <a href="https://packagist.org/packages/laravel/framework"><img src="https://poser.pugx.org/laravel/framework/license.svg" alt="License"></a> </p> ## About Laravel Laravel is a web application framework with expressive, elegant syntax. We believe development must be an enjoyable and creative experience to be truly fulfilling. Laravel attempts to take the pain out of development by easing common tasks used in the majority of web projects, such as: -

e_shop

May 11, 2022 – May 11, 2022

<p align="center"><img src="https://laravel.com/assets/img/components/logo-laravel.svg"></p> <p align="center"> <a href="https://travis-ci.org/laravel/framework"><img src="https://travis-ci.org/laravel/framework.svg" alt="Build Status"></a> <a href="https://packagist.org/packages/laravel/framework"><img src="https://poser.pugx.org/laravel/framework/d/total.svg" alt="Total Downloads"></a> <a href="https://packagist.org/packages/laravel/framework"><img src="https://poser.pugx.org/laravel/framework/v/stable.svg" alt="Latest Stable Version"></a> <a href="https://packagist.org/packages/laravel/framework"><img src="https://poser.pugx.org/laravel/framework/license.svg" alt="License"></a> </p> ## About Laravel Laravel is a web application framework with expressive, elegant syntax. We believe development must be an enjoyable and creative experience to be truly fulfilling. Laravel attempts to take the pain out of development by easing common tasks used in the majority of web projects, such as: -

Ahmednagar-Covid-Data-Analysis

May 9, 2022 – May 9, 2022

Coronavirus disease (COVID-19) is an infectious disease caused by the SARS-CoV2 virus. Most people who fall infected with COVID-19 will experience light to medium symptoms and recover without special treatment. Nevertheless, some will become seriously sick or may die, so that people might need medical attention. In this pandemic situation, India faced the second-highest number of covid cases. Among them, the Ahmednagar district in Maharashtra faced a large number of covid causes and death. For analysis of Covid-19 death, we received data from the Department of Health Services, Government of Maharashtra, on 8th July 2021, on Covid cases and deaths. From the given data on Covid cases and deaths file, we analyze every fourteen talukas of Ahmednagar, which will help to improve the delivery of health services in the state of Maharashtra.

ShoppingBuddy

May 7, 2022 – May 7, 2022

Steps to install and run: Flask Server: 1. Create Python virtual environment and activate it: a. python3 -m venv venv b. Activate for windows: venv\Scripts\activate Activate for Linux: . venv/bin/activate 2. Install packages a. pip install flask b. pip install requests c. pip install beautifulsoup4 d. pip install flask-cors e. pip install pandas *. pip install lxml (Optional, check errors section) Or refer requirements.txt 3. cd ShoppingBuddy 4. For PowerShell, run: $env:FLASK_APP="ShoppingBuddyAPI" For Linux, run: export FLASK_APP="ShoppingBuddyAPI" 5. For PowerShell, run: $env:FLASK_ENV="developoment" For Linux, run: export FLASK_ENV="developoment" 6. flask run Frontend: 7. Open following webpage in browser: ShoppingBuddy/ShoppingBuddyUI/index.html For testing API (e.g. in Postman) ============================================= URL: http://127.0.0.1:5000/compare/ Method: POST header: Content-Type='application/json' Body: { "urls":[ "https://www.amazon.in/Bravo-15-A4DDR-023-Enthusiast-

six_stage_pipeline_sim-main

May 7, 2022 – May 7, 2022

Description: Our project is the implementation of six stage pipelined microprocessor. The architecture is modified to increase the speed of operation. The architecture of our microprocessor includes the ALU, Pipelined data-path, Data forwarding unit, Control logic, data and program memories, and Hazard control unit. Hazard detection unit and data forwarding unit have been included for efficient implementation of the pipeline. In our microprocessor, every instruction is divided into several parts and each part is called as a stage. This implemented microprocessor have six-stage pipeline architecture, namely instruction fetch(IF) ,instruction decode(ID), register read(RR), execution(EXEC), Data memory(MEM) and write back(WB). The final branch predictor shows an average prediction accuracy of 96-97%. Instruction Encoding Format to simplify the encoding/decoding process, the format is different from the standard MIPS instruction encoding format. OP=1 bytes, RS=1 bytes, RT=1 bytes, RD=1 byt

GISE-Tool-for-Visualization-of-Census-Data

May 4, 2022 – June 27, 2022

We want to help college teachers to teach their students about visualizing and analyzing census data. This is a tutorial-based website where teachers can teach students about the Maharashtra household amenities District, Taluka, and Village level Map, which are based on 2011 Census data of Maharashtra. Also, this site has combined the original dataset with geospatial vector data format files so that students can do some of their own analyses based on their needs in the near future. Where all the attributes of all this census data will be available and their explanation, with all this Map, also has some Histograms and some Scatter plots of those Census data. To understand all this, this site has a proper explanation for them. We also provide this All Map original dataset with geospatial vector data format so that the student can download it on their local PC and play with them, and there will be instructions so that they can do some of their own analysis. Also, have some pre-given homew