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Chenna Nagesh

Software Developer

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ABOUT ME

I’m a Computer Science and Engineering student and aspiring Software Developer with hands-on experience in web development and programming, focused on building responsive and user-friendly applications using HTML, CSS, JavaScript, Bootstrap, and React-Bootstrap. I work with languages such as Java, Python, C, and C++, and have a solid foundation in databases, operating systems, and computer networks. I enjoy learning through real-world projects and competitive coding on platforms like CodeChef, HackerRank, and LeetCode. I’m driven to improve my technical skills, write clean, maintainable code, and contribute to reliable, high-performance software projects.

SKILLS

HTML

CSS

JavaScript

Bootstrap

C

C++

Java

Python

XML

SQL

Git

GitHub

Spring

React

Postman

Figma

VS Code

PyCharm

Bolt

Lovable

Cursor

PROJECTS

Featured Project

Gesture-Detection

The AI-Based Hand Gesture Recognition System is a real-time computer vision application that detects and classifies user hand gestures using a pretrained deep learning model trained with Google Teachable Machine. The system captures live video through a webcam, detects hand landmarks using MediaPipe, and predicts gestures from the extracted hand region. This approach enables accurate, efficient, and touch-free interaction and can be applied in areas such as human–computer interaction, sign language recognition, and gesture-based control systems.

Python

OpenCV

MediaPipe

TensorFlow / Keras

Google Teachable Machine

Featured Project

AI Text Summarizer

AI Text Summarizer is a browser-based extension designed to help users quickly understand long or complex text. It analyzes selected content on any webpage in real time and generates clear, concise summaries, helping users save time, improve readability, and grasp key ideas without leaving the page.

HTML

CSS

JavaScript

Node.js

Express.js

Featured Project

Washore

Washore is an AI-based beach monitoring system designed to detect littering activities along coastal areas. Using computer vision, the system identifies litter-related actions on beaches and automatically alerts marine authorities to enable timely intervention and cleanup.

Python

YOLO Object Detection

Computer Vision

Send me a message!

Say hello, dear Nagesh!