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AdamNgazzou/README.md

👋 Hello, I'm Adam Ngazzou!

🎓 About Me:

  • 💻 Student & Full-Stack / Machine Learning Engineer passionate about web technologies, AI, and problem-solving.
  • ⚡ Athlete with a disciplined and active lifestyle.
  • 🧑‍💻 LeetCode Enthusiast - solved 180+ problems.
  • 🏆 100% College Scholarship for excellence.
  • 🚀 Open to collaborations in AI, web, and full-stack development!

🔧 Tech Stack

📊 GitHub Stats

GitHub Stats GitHub Streak Stats

Most Used Languages

🌐 Social Links

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Email
Portfolio

📢 Let's Collaborate!

💡 Open to AI, web development, full-stack, and microservices projects.
💬 Reach out, and let's build something impactful together!

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  1. SpringBoot-Microservices-EcommerceApp SpringBoot-Microservices-EcommerceApp Public

    A scalable, cloud-native eCommerce backend built with Java and Spring Boot microservices. It features modular services for products, orders, payments, customers, and notifications—using service dis…

    Java

  2. SpringBootAuthentication SpringBootAuthentication Public

    Java 1

  3. Automated-License-Plate-Recognition-YOLOv8 Automated-License-Plate-Recognition-YOLOv8 Public

    End-to-end pipeline for vehicle and license plate detection, tracking, and OCR using YOLOv8, SORT, and EasyOCR. Exports results to CSV and video.

    Python

  4. YOLOv1-from-Scratch YOLOv1-from-Scratch Public

    This project is a from-scratch implementation of YOLOv1 in PyTorch, based directly on the original paper. It provides a clean, modular framework for training, evaluating, and testing object detecti…

    Python

  5. Pytorch-Brain-Tumor-Detection-Model Pytorch-Brain-Tumor-Detection-Model Public

    📌 A deep learning project for brain tumor MRI classification, comparing transfer learning with ResNet18 and a custom CNN trained from scratch. Achieves high accuracy with robust evaluation metrics …

    Jupyter Notebook

  6. Pytorch-Credit-Card-Fraud-Detection Pytorch-Credit-Card-Fraud-Detection Public

    A PyTorch-based neural network for credit card fraud detection, trained on anonymized transaction data. The model achieves 99.94% accuracy with strong performance in precision, recall, and F1-score…

    Jupyter Notebook 1