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M-Affan01/README.md

Hi , I'm Muhammad Affan

  • Full-Stack MERN Developer, experienced in building scalable and high-performance web applications.
  • Skilled in designing RESTful APIs, backend systems, and responsive UIs.
  • Passionate about clean, efficient, and maintainable code.
  • Exploring AI & Machine Learning for smart applications.
  • Strong grip on JavaScript, React.js, Node.js, and databases.
  • Continuously learning new tools and technologies.

About Me

From the moment I wrote my first line of code, I knew software engineering was my true passion. I am currently studying Software Engineering and strengthening my skills through academic coursework and real-world software development projects. At present, I am focused on full-stack web development using the MERN stack (MongoDB, Express.js, React.js, Node.js) and exploring Artificial Intelligence (AI) concepts, as I enjoy building scalable, intelligent, and user-centric applications that create real impact.

Alongside my technical journey, I have 1 year of teaching experience in Mathematics at Times Collegiate and The Matrediates, which enhanced my communication skills, analytical thinking, problem-solving ability, and leadership qualities. I actively develop modern web applications, implement RESTful APIs, and continuously learn AI and machine learning fundamentals to make my projects smarter, faster, and more efficient.

I am highly motivated to grow in the software development industry, learn emerging technologies, and contribute to innovative, real-world solutions. My goal is to become a confident full-stack software engineer who builds high-quality, performance-driven, and meaningful digital products.

Tech Stack

Core Technologies:
React.js, JavaScript (ES6+), Node.js, Express.js, MongoDB, Python, Java, HTML5, CSS3, Tailwind CSS, Bootstrap

AI & Data Science:
TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, Matplotlib

Tools & DevOps:
Git, GitHub, Postman, Netlify, Render

Additional Tools & Libraries:
Three.js, Chart.js, Power BI

Connect with me

GitHub Stats

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  1. Farmers-Weather-Forecasting-System Farmers-Weather-Forecasting-System Public

    Machine learning system analyzing Pakistan weather data to predict earthquake likelihood (academic project, 74.1% XGBoost accuracy).

    Jupyter Notebook

  2. Main-Sorter-Strategy-Pattern Main-Sorter-Strategy-Pattern Public

    Main Sorter: A modular Strategy Pattern file management suite in Python, featuring advanced sorting algorithms for audio, video, images, and documents, integrated with a premium Streamlit GUI.

    Python

  3. Tic-Tac-Toe-AI Tic-Tac-Toe-AI Public

    An unbeatable Tic-Tac-Toe AI powered by Minimax algorithm with a modern neon Streamlit interface.

    Python

  4. CyberShield CyberShield Public

    CyberShield - DFA + OS Security Integration is a visually stunning cybersecurity dashboard that simulates a real-time threat detection and prevention system. It combines Deterministic Finite Automa…

    JavaScript

  5. Dynamic-DFA-Password-Validator Dynamic-DFA-Password-Validator Public

    Interactive password strength validator using Deterministic Finite Automaton (DFA) with real-time state visualization, password generator, strength meter, and PDF report export.

    JavaScript

  6. TheNIC-Nordic-Islamic-Center-Website-Functional TheNIC-Nordic-Islamic-Center-Website-Functional Public

    Modern, responsive practice website for Norrbottens Islamiska Center (NIC) built with HTML, CSS, and JavaScript.

    CSS 1