SUDIPTA SARKAR

MSc in Computer Science [2023 - 25]

SGPA :- 10.00 out of 10.00 (upto Semester 2)

SGPA :- 9.73 out of 10.00 (Semester 1)

Ramakrishna Mission Residential College (Autonomous), Narendrapur

BSc in Computer Science [2020 - 23]

CGPA :- 9.72 out of 10.00

Ramakrishna Mission Vivekananda Centenary College, Rahara

IT Sub-Committee Member Of Vidyarthi Sabha 2023-24.

Ramakrishna Mission Residential College

Co-Organizer of Neuroverse Coding Competition 2023

Ramkrishna Mission Vivekananda Centenary College

Neuroverse is a coding competition organised by our College(RKMVCC).

Image Steganography And Steganalysis

A more effective messages hiding technique by using Steganography hence, applying Steganalysis. Here our objective is to use some randomization in image hiding and apply some Optimizers (like PSO) to maximize the PSNR and NCC value, then Apply Steganalysis using CNN .

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Project is ongoing

Nuclei Segmentation using UNet

Cell nuclei segmentation is a fundamental task in microscopy image analysis, based on which multiple biological related analysis can be performed. Although deep learning (DL) based techniques have achieved state-of-the-art performances in image segmentation tasks, these methods are usually complex and require support of powerful computing resources. In addition, it is impractical to allocate advanced computing resources to each dark- or bright-field microscopy, which is widely employed in vast clinical institutions, considering the cost of medical exams. Thus, it is essential to develop accurate DL based segmentation algorithms working with resources-constraint computing.

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Potato Disease Classification using CNN

In potato production, there are several diseases that affect potato production and degrade agricultural development. Therefore, disease detection in the early stage can provide a better solution for successful crop cultivation. In this study, our aim is to detect and classify potato leaf diseases using a deep learning algorithm.

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Human Facial Expressions Detection using CNN

The primary idea of our project is to process the input images of human facial emotion to train the model on datasets .In this project we can use a popular deep learning method (convolutional neural networks) to identify the key human emotions like anger, disgust, fear, happiness, sadness, surprise and neutrality.

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Virtual Assistant Using OpenAI

It is a Virtual Assistant like Amazon Alexa or Siri, I use OpenAI API to build this Virtual Assistant. It is written in Python by using openai, pyttsx3, speech_recognition, webbrowser, os modules.

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Number Tracking Game Using Backtracking Algorithms

In this game (CLI Mode Game & Written in C++) two players are there one is the machine and another one is you(the user), user can select the destination number(goal to reach) first then select the maximum number of steps at a time taken by the user or machine to get to the destination number. The winner of this game will be on the basis of, who will reach the destination number first. The game was designed in such a way, if the machine can select its choice first rather than you(the user) then the machine will be the winner, you never beat the machine.

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Data Structure and Algorithm - Open Source

I am writing all the codes of data structures and algorithms which are in the syllabus of UGC(Bsc Computer Science).

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Medical store billing management system Software

It is a CLI (Command Line Interface) based Medical store billing management system software written in C++. When I was in first semester, I design this CLI based software system via using C++ Programming.

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