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Chenna Nagesh

I'm a

Specializing in Full-Stack Web & AI/GenAI Solutions

my photo

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.

EDUCATION

Bachelor of Technology

Computer Science and Engineering

KL University

July 2024 to present

Diploma

Computer Engineering

Aditya Polytechnic Colleges

October 2021 to May 2024

X Class

SSC

Sri Sadguru Vidyalayam

June 2020 to May 2021

EXPERIENCE

Full-Stack Trainee

T-Hub

Dec 2023 - May 2024
  • Completed an intensive training program focused on modern full-stack web development practices.
  • Mastered HTML5, CSS3, JavaScript (ES6+), Bootstrap, and React.js, applying them to real-world interface problems.
  • Developed responsive, interactive user interfaces and built modular components for single-page applications.
  • Collaborated with developers to design user-friendly layouts and write clean, maintainable, and standards-compliant code.
HTMLCSSJavaScriptBootstrapReact.js

SKILLS

HTML

CSS

JavaScript

Bootstrap

C

C++

Java

Python

XML

SQL

Git

GitHub

Spring

React

Postman

Figma

VS Code

PyCharm

Bolt

Lovable

Cursor

CERTIFICATIONS

Microsoft Certified: Azure Fundamentals

AZ-900

Issued by MicrosoftCompleted

Demonstrated foundational knowledge of cloud services and how those services are provided with Microsoft Azure. Validated concepts including cloud computing, security, privacy, compliance, and trust, as well as Azure pricing and support.

VERIFY CREDENTIAL

PROJECTS

AI / GENAI

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

AI / GENAI

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

AI / GENAI

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

Featured Project

Focus Breaker

Focus Breaker is a premium, privacy-focused Chrome Extension (Manifest V3) that curbs website addiction. It redirects blocked sites to an interactive cosmic screen with a guided breathing orb, concentric ripples, and 3D cursor-parallax stars to encourage mindful focus. Built with JavaScript, CSS, and Chrome Extension APIs.

Manifest V3

JavaScript

CSS3

HTML5

GITHUB STATS

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Say hello, dear Nagesh!