Skip to content
View mo-attalla's full-sized avatar
1 follower · 3 following

Block or report mo-attalla

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
mo-attalla/README.md

👋 About Me

I'm a Frontend Developer and Electronics & Communication Engineering student at Zagazig University (Class of 2028), based in Egypt.

I build responsive, performant, and visually polished web applications — combining a solid technical foundation with a background in graphic design that lets me turn UI/UX concepts into production-ready code.

  • 🎓 Studying ECE @ Zagazig University
  • 🌱 Currently leveling up in UI/UX Design via the Digital Egypt Pioneers Initiative (DEPI)
  • ⚡ Hackathon participant — shipped a medical web app in 72 hours
  • 🤖 Active user of AI-assisted development tools to ship faster and smarter
  • 📫 Reach me: 265moabdou@gmail.com

🛠️ Tech Stack

HTML5 CSS3 JavaScript React Bootstrap GSAP Figma Git GitHub VS Code

🚀 Featured Projects

Project Description Tech
Personal Portfolio Responsive portfolio with GSAP animations, pixel-perfect UI-to-code translation React.js, GSAP, CSS3
VenoSense Medical web app built during a 3-day hackathon — clean, accessible UI for a health solution HTML5, CSS3, JS

📊 GitHub Stats

🤝 Let's Connect

LinkedIn Gmail Portfolio

Popular repositories Loading

  1. Catch_The_LED Catch_The_LED Public

    Forked from Abaza44/Catch_The_LED

  2. Cornea-Detection Cornea-Detection Public

    A MATLAB-based system was developed to detect the cornea in eye images using a custom algorithm based on color and shape analysis. A GUI was also created for easy image loading, processing, and res…

    MATLAB

  3. Face-detection Face-detection Public

    A MATLAB-based system was developed to detect human faces in digital images using a custom algorithm based on skin tone, symmetry, and geometry. The system avoids high-level built-ins and includes …

    MATLAB

  4. project_one_js project_one_js Public

    HTML

  5. protofolio protofolio Public

    HTML

  6. attalla attalla Public

    HTML