Deebhan Sivakumar 🎓

Deebhan Sivakumar

(he/him)

B.Tech IT Student | Full Stack & AI/ML Developer

Professional Summary

Hi! I’m an Information Technology student with a strong interest in Software Development, Artificial Intelligence, Machine Learning, and Full-Stack Development. I enjoy building practical solutions, exploring new technologies, and continuously improving my technical skills.

I’ve gained hands-on experience with Python, Java, React.js, Node.js, MongoDB, HTML, CSS, JavaScript, and SQL through academic projects and practical learning. I enjoy solving problems, collaborating with others, and taking on new challenges that help me grow.

I’m always open to learning, connecting with like-minded professionals, and exploring opportunities where I can contribute and continue developing my skills. Outside of tech, I enjoy playing cricket and listening to music.

Education

B.Tech in Information Technology

2023-06-01
present

M.A.M College of Engineering and Technology, Tiruchirappalli

12th Grade — Computer Science

2022-06-01
2023-05-31

S.B.V Matriculation & Higher Secondary School, Thuraiyur

Interests

Artificial Intelligence Machine Learning Computer Vision Full-Stack Development (MERN)
👋 Welcome

I’m an Information Technology student passionate about full-stack development, machine learning, and building practical, real-world solutions.

I love picking up new technologies, working on projects that solve real problems, and collaborating with others who are curious about tech.

Feel free to check out my projects below, or reach out — I’m always open to connecting! 😃

Featured Projects
AI-Based Internship Recommendation System featured image

AI-Based Internship Recommendation System

A full-stack web application built with React.js, Node.js, Flask, and MongoDB that recommends internships to users based on their skills and interests.

Road Safety App

A mobile application built with Kotlin in Android Studio to promote road safety — providing traffic rules, emergency contacts, accident reporting, and safety awareness features.

EMG-Based Smart Wheelchair featured image

EMG-Based Smart Wheelchair

A smart wheelchair prototype that uses EMG sensors, Arduino, and ESP32 to control wheelchair movement through muscle signals, trained using machine learning — aimed at improving …

AR Simple Game featured image

AR Simple Game

A simple augmented reality game exploring AR interaction and game mechanics.