Back-End Web Developer (Laravel) | AI-Assisted Systems | Full-Stack Oriented

I build scalable web systems using Laravel, with practical experience integrating AI-based analysis into real-world applications, particularly in damage assessment and humanitarian use cases.

• 🎓 Computer Science student (Final Year) – Sudan University of Science & Technology
• 🔭 Back-End focused with Laravel
• 🌱 Learning Vue.js and React
• 🤖 Experience with AI-based image analysis
• 🧠 Strong background in system design & data-driven decision systems

• PHP (OOP)
• Laravel (MVC, Authentication, Middleware, REST APIs)
• Composer

• MySQL
• Database Design & Optimization
• Complex SQL Queries
• Business & Financial Logic

• HTML5, CSS3, JavaScript
• Bootstrap, jQuery
• Vue.js (learning)
• React.js (learning)

• Image-based Damage Assessment
• Dataset Analysis & Preprocessing
• Handling Class Imbalance & Noise
• Practical Model Evaluation (Major / Minor / No Damage)

• Git & GitHub
• Visual Studio Code
• Linux (Alpine)
• WordPress (Dynamic & Multilingual Sites)

Objective:
Detect and classify damaged and destroyed buildings from satellite images using Artificial Intelligence to support humanitarian aid prioritization.

Key Features:

• Classification of buildings into damage levels:
  • No Damage
  • Minor Damage
  • Major / Destroyed
• Analysis of pre-disaster vs post-disaster imagery
• Focus on real-world challenges:
  • Noisy satellite images
  • Class imbalance in disaster datasets
• Output designed to assist decision-makers and relief organizations

Project Focus:

• Practical humanitarian impact
• Data-driven prioritization
• AI as a support tool, not a black box

• Clean & Maintainable Code
• Backend-First Architecture
• Business-Oriented Systems
• AI-Assisted Decision Support Systems
• Scalable Laravel Applications

• GitHub: @Noor600
• Open to collaboration on:
  • Laravel Systems
  • AI-assisted Web Applications
  • Graduation & Research Projects

⭐ Building systems that matter — technically and humanely.