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AssadUllahKhan/README.md

👋 I'm Assad Ullah Khan

Computer Vision Artificial Intelligence Deep Learning Natural Language Processing Research Web Developer

👤 About Me

I'm Assad Ullah Khan, a Research Assistant at the Digital Image Processing (DIP) Lab, Islamia College University Peshawar, supervised by Dr. Muhammad Sajjad. My research focuses on Deep Learning, Computer Vision, and Natural Language Processing (NLP). I completed my Bachelor’s degree in Computer Science (2025) from Islamia College University, Peshawar, with strong interests in Machine Learning, Artificial Intelligence, and Web Development, along with a passion for exploring cutting-edge AI technologies.

🔭👤 My Journey

  • 🎓 Bachelors in Computer Science from Islamia College University, Peshawar
  • 💼 Currently working as Research Assistant at Digital Image Processing Lab, ICP
  • 🔭 Researching Deep Learning Based Mosquito Breeding Site Detection and Segmentation Ssing CNN and YOLO Architectures
  • 🌱 Always learning and staying updated with the latest in AI and computer vision
  • 💻 Passionate about Web Development and building interactive, user-focused websites

💻 Tech Stack

Python C++ TensorFlow PyTorch Keras OpenCV scikit-learn NumPy Pandas Matplotlib Anaconda Ultralytics Jupyter Git GitHub NodeJS React JavaScript Java

🤝 Let's Connect

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📊 GitHub Stats

🔝 Top Contributed Repo

GitHub Contributor Stats

AssadUllahKhan

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  1. Web-Development-Batch-03-Corvit-Systems-Peshawar Web-Development-Batch-03-Corvit-Systems-Peshawar Public

    Repository for Web Development Batch-03 students at Corvit Systems Peshawar containing daily classwork, slides, assignments, and learning materials.

    HTML 1

  2. Mosquito-Breeding-Sites-Detection-And-Segmentation-Using-YOLO-Architectures Mosquito-Breeding-Sites-Detection-And-Segmentation-Using-YOLO-Architectures Public

    Research project leveraging YOLO architectures for accurate detection and segmentation of mosquito breeding sites, contributing to smart vector surveillance and public health applications.

    Jupyter Notebook

  3. Object-Detection-For-Waste-Management-Project Object-Detection-For-Waste-Management-Project Public

    A deep learning project implementing YOLOv8 for multi-class waste detection and classification using the TACO dataset.

    Jupyter Notebook