My Portfolio

About Me

Hello I'm Soubhik

AI & ML Enthusiast

I'm a passionate tech enthusiast and a 2nd-year Computer Science Engineering student at SRM University (KTR) with a specialization in Artificial Intelligence and Machine Learning.

I’m always on a quest to explore new technologies, challenge myself with innovative projects, and contribute to the tech community.

When I'm not coding, you can find me Playing Guitar/Drawing].

Let's Talk

Education

My academic journey that shaped my knowledge and skills.

SRM Institute Of Science and Technology (KTR)

B.Tech in Computer Science Engineering

2023 - Present

Specialization in Artificial Intelligence and Machine Learning

S.K.S Public School

Higher Secondary Education

2021 - 2023

Science stream with Computer Science

S.K.S Public School

Primary & Secondary Education (Class 1 - 10)

2011 - 2021

Completed schooling up to Class X with distinction

My Projects

Here are some of the projects I've worked on recently.

SkillSync

Skill Sync is a comprehensive platform that helps developers track and synchronize their coding journey across multiple platforms. Monitor your progress on LeetCode, HackerRank, CodeChef, and more in one unified dashboard.

My Contribution: Developed the app and worked on UI/UX design

Tech Stack: Python, Flask, Machine Learning, MySQL, React.js, Tailwind CSS

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Air-Canvas

Air Canvas is an interactive application that allows users to draw on a virtual canvas using a colored marker or an object with a distinctive color. The app uses OpenCV for real-time color detection, enabling users to create drawings in mid-air. It provides a touchless and intuitive experience, making it ideal for creative expression, education, and accessibility solutions.

Tech Stack: Python, OpenCV, Computer Vision, Machine Learning

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GetSetGreen

GetSetGreen is an eco-friendly initiative that extracts vehicle details, ensures emission compliance, and helps users find the greenest route between cities, promoting sustainable transportation. It leverages OpenCV for real-time license plate recognition, enhancing accuracy and efficiency. Additionally, it utilizes AI-driven data analysis to recommend optimal routes and reduce carbon footprints.

Tech Stack: Python, Flask, OpenCV, Machine Learning, MySQL

View Project

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