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mimihime0/README.md

Hi there 👋, I'm Fay Almajed

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A Computer Science student at King Saud University with a passion for Machine Learning, AI, and Algorithm Design. I enjoy building intelligent systems and tackling complex problems using optimization and AI techniques. I'm a fast learner who thrives in collaborative, team-based environments.

🚀 About Me

  • 🎓 Studying Computer Science at King Saud University (Expected Graduation: June 2025)
  • 💡 Interested in: Machine Learning, Artificial Intelligence, Optimization Algorithms, Problem Solving.
  • 🌱 Currently learning more about advanced ML techniques and deployment.
  • 👯 I’m looking to collaborate on innovative AI or optimization projects.
  • 📫 How to reach me: [email protected]
  • 📍 Location: Riyadh, Saudi Arabia

🛠️ Skills

Programming Languages: Java Python C++ HTML5 CSS3 JavaScript PHP

Libraries & Frameworks: TensorFlow Keras Pandas NumPy OpenCV PyTorch Matplotlib

Tools & Platforms: GitHub Microsoft Office

Soft Skills: Leadership, Fast Learner, Critical Thinking, Problem Solving, Adaptability, Teamwork & Collaboration.

🏆 Achievements & Projects

  • 🥇 1st Place Winner: KSU Hackathon Expo 2030 Track (May 2024)
    • Contributed to designing and implementing an innovative solution integrating AI and optimization techniques.
  • 🏅 Finalist: KSU Transformation Hackathon (Apr 2025)
    • Developed an AI-driven solution using OpenAI API.
  • 🏅 Finalist: SCAI AI League (Apr 2025)
    • Developed an AI solution using ML and camera vision.
  • 🏅 Finalist: Volunteer Hackathon (Dec 2024)
    • Created an IoT-based monitoring system, focusing on sensor data integration.

Featured Projects:

  • Team Formation Optimization (Graduation Project): Designed a hybrid optimization algorithm for cost-minimal team formation with full skill coverage (NP-Hard problem).
  • Fashion-MNIST CNN Classifier (ML Project): Built and optimized a CNN to classify clothing items.
  • Tenner Grid AI Solver (AI Project): Implemented an AI solver using constraint satisfaction, logical inference, and backtracking.
  • ArenaFlow (SCAI Hackathon Project): Developed a real-time person detection and counting prototype using Python, OpenCV, and YOLOv8. The system analyzes live camera feeds to monitor crowd density and issue warnings, demonstrating AI potential for enhancing public safety.

📊 GitHub Stats

Top Langs

📫 Connect with me:

fayalmajed07@gmail.com your-linkedin-username

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  1. ArenaFlow ArenaFlow Public

    Prototype for real-time crowd monitoring. Detects and counts people via camera using YOLOv8n and OpenCV, with configurable crowd warning threshold and error handling.

    Python

  2. CNN-Fashion-MNIST-Classifier CNN-Fashion-MNIST-Classifier Public

    A convolutional neural network (CNN) for classifying the Fashion-MNIST dataset. Includes experiments with regularization techniques, data augmentation, and hyperparameter tuning to optimize model p…

    Jupyter Notebook

  3. Optimal-Assets-Allocation Optimal-Assets-Allocation Public

    an assets allocations application that employs brute-force methodologies to allocate assets that meet the desired return amount while maintaining the risk level threshold

    Java

  4. Tenner-Grid-Solver Tenner-Grid-Solver Public

    A Java project for solving Tenner Grid puzzles using constraint satisfaction problem (CSP) algorithms. Features include detailed analyses, and comparisons of solving algorithms.

    Java