Dhanush.

Hi, It's Dhanush Kumar

I'm a Frontend Developer

I am a dedicated Frontend Developer skilled in HTML, CSS, JavaScript, React.js, and React Native, with additional knowledge of Python. I build responsive, user-friendly web interfaces with a focus on clean design. Passionate about creating seamless user experiences and solving UI challenges. Eager to learn, grow, and contribute to real-world projects in a team environment.

profile pic

My Education

High School

Nadar Saraswathi Hr Sec School, Theni 2020 - 2021
HSC (83.45%)

University

Mary Matha College of Arts and Science, Theni 2021 - 2024
Bachelor of Computer Science
CGPA (7.18%)

Courses

  • Full Stack Python - Indra Institute of Education.
  • Python Data Structures - Great Learning.
  • Frontend Development - Simplilearn.
  • Internships

  • Python Programming Internship - Elysium Technologies.
  • Frontend Developer Internship - Imaggar Technologies.
  • Skills

    HTML

    CSS

    Javascript

    React

    React Native

    Python

    Projects

    Mini Ecommerce Website

    Developed a mini eCommerce website using HTML, CSS, and JavaScript. Designed responsive, user-friendly layouts for seamless browsing. Implemented interactive product displays and basic form validation. Focused on clean UI/UX and mobile-friendly design principles. Demonstrates strong front-end development and project execution skills.

    Food Recipe Application

    Developed a Food Recipe App using React Native, demonstrating strong coding and UI skills. Implemented advanced navigation with Reanimated animations for a modern experience. Organized recipes into categories with step-by-step instructions. Showcased expertise in mobile development, performance, and usability.

    Todo List

    I developed a responsive Todo List web application using HTML, CSS, and JavaScript. The application allows users to add, edit, delete, and mark tasks as completed. I integrated Local Storage to preserve task data across browser sessions. The design features a clean, modern, and mobile-friendly interface. I focused on user experience.

    Bone Fracture Detection and Classification

    Implemented a deep learning model for bone fracture detection and classification using X-ray images. Used CNNs to extract features and identify fracture patterns with high accuracy. Enhanced diagnostic support by automating fracture detection. Focused on improving speed, precision, and medical imaging reliability.

    Contact Me

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