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ZahraShahlaie/README.md

👋 Hello, I'm Zahra shahlaie!

🚀 About Me

I'm a Python programmer and a specialist in Artificial Intelligence, Deep Learning, and Machine Learning. My journey in the tech world is fueled by a relentless passion for learning and executing diverse projects. I pride myself on being hardworking, diligent, and responsible, always eager to collaborate with leading teams in AI, ML, and DL.

💡 Expertise

  • AI Developer: Crafting intelligent solutions to complex problems.
  • Deep Learning: Specializing in CNN, YOLO, OpenCV, and advanced architectures like LSTM and RNN.
  • Machine Learning: Experienced in training models for high performance and accuracy.
  • Python Developer: Proficient in writing clean, efficient, and scalable code.
  • Machine Vision: Implementing computer vision and image processing techniques for various applications.

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  1. Template_Matching Template_Matching Public

    This project involves creating a dataset for training a YOLOv8 object detection model by generating composite images of various input images overlaid on different background images.

    Jupyter Notebook

  2. Crack-detection Crack-detection Public

    This project aims to develop a deep learning model for detecting cracks in reinforced concrete structures under low light conditions and night simulation. Additionally, images were taken from furth…

    Jupyter Notebook 1

  3. Facial-emotion-recognition-with-yolo Facial-emotion-recognition-with-yolo Public

    Detecting facial emotions using YOLOv8 model and deep learning techniques

    Jupyter Notebook 8

  4. human-image_segmentation-unet human-image_segmentation-unet Public

    Human Image Segmentation with U-Net Architecture: This repository contains code and notebooks for a project focused on segmenting human images using the U-Net architecture. The goal is to accurate…

    Jupyter Notebook

  5. Graph-Spectral-Clustering-and-Partial-Differential-Equations Graph-Spectral-Clustering-and-Partial-Differential-Equations Public

    a clustering method using the heat and wave equations along with eigenvalues and eigenvectors. This approach is capable of clustering graphs into two partitions with a precision similar to spectra…

    Jupyter Notebook

  6. multi_label_text_classification multi_label_text_classification Public

    Forked from farrokhkarimi/multi_label_text_classification

    This project aims to classify input samples of the Ronash dataset into 20 categories based on the title, vendor, and tags. The updated version of the multi-label text classification model, with app…

    Jupyter Notebook