3D Data Analytics Graphics
KS

Hi, I'm Kunal Singh

About

I'm Kunal Singh, a B.Tech Computer Science (AI/ML) student at RV University, Bengaluru, with a CGPA of 8.58, passionate about building intelligent systems and data-driven solutions.

My core interests lie in Artificial Intelligence, Machine Learning, Data Science, and Software Development. I enjoy working on projects that combine data, algorithms, and practical applications.

When I'm not experimenting with ML models or building software, I'm exploring new technologies, contributing to projects, and engaging with tech and sports communities through clubs like Ethereum Club and MMFC at RVU. I enjoy learning by building and believe that the best solutions emerge from curiosity, collaboration, and continuous improvement.

8.58
CGPA
5+
Projects
RV
University

Skills

Languages

Python Java C/C++ SQL HTML/CSS JS

Frameworks & Libs

Pandas NumPy Matplotlib ReactJS

Tools

Git PowerBI VSCode Google Colab Jupyter

Soft Skills

Time Management Team Player Strong Communication

Projects

Snake Game

Built a classic Snake Game using Java Swing and AWT with real-time rendering and keyboard controls. Implemented collision detection, score tracking, and game loop logic for smooth gameplay. Applied object-oriented programming concepts and event-driven programming in Java.

Student Performance Predictor

Developed an ML model using RandomForestClassifier. Predicted student performance (pass/fail) based on quiz, midterm, and assignment scores. Integrated LLaMA into the project for insights. Achieved accuracy score of 94.5.

RoadLens: Real-Time Traffic Sign Recognition

Developed a computer vision system that detects and classifies traffic signs in real-time using a webcam. Implemented a Convolutional Neural Network (CNN) to recognize multiple traffic sign categories. Processed live video frames to identify traffic signs and display their meanings to assist drivers. Utilized Python, OpenCV, and Deep Learning techniques for image preprocessing and model prediction.

Personal Portfolio Website

Designed and developed a responsive personal portfolio website using HTML and CSS. Implemented a structured section-based design, including an about section, skills showcase, social media links. Currently enhancing the website with JavaScript and responsive design techniques.

Certifications

Data Analysis with Pandas and Python

View Certificate

Java Features

View Certificate

GET IN TOUCH

"I'm always open to internships, collaborations, and interesting project ideas — feel free to connect!"