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shamiul5201/README.md

md shamiul islam

Hi there👋,

I am Shamiul Islam, an Computer Vision and AI Engineer with a Deep Passion for creating innovative solutions that combine technology and real-world impact. My expertise spans Computer Vision, Deep Learning, Image Segmentation, Image Classification, Object Detection, Object Tracking, Machine Learning and Artificial Intelligence, enabling me to develop intelligent systems that address real-world challenges. I’ve worked on diverse projects, including Posture Analysis, Drowsy Driver Detection, Number Plate Detection, Snapchat Filters, Face Recognition, and a Custom Object Detector using YOLO. My portfolio also features work in Text Detection and Recognition, Image Classification and Image Segmentation, showcasing my versatility and problem-solving capabilities in the field. With a strong foundation in deep learning and a commitment to excellence, I am dedicated to delivering impactful and innovative AI solutions.


Shamiul's GitHub stats


Skills

Category Skills
Programming Languages Python
Frameworks OpenCV Mediapipe TensorFlow PyTorch Keras
CV & DL Skills Image Segmentation Object Detection Object Tracking Video Analysis Pose Estimation OCR Face Detection Face Recognition GAN
Machine Learning Scikit-learn XGBoost

Blog Posts

🚀 Check out my blog on Medium where I share my findings on AI, computer vision, and data science!

Date Title
2024-11-05 Exploring the Foundations of Computer Vision and Image Processing
2024-10-23 Project: Virtual Makeup — Eye Liner
2024-10-23 Project: Virtual Makeup — Apply Lipstick
2024-07-08 Learning Artificial Intelligence In Healthcare

My Downtime

When not working on AI projects, I engage with Generative AI, Stable Diffusion, and MidJourney for creative inspiration.

Generative AI Stable Diffusion MidJourney


Languages

Top Languages

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  1. MultiClass-Sports-Classifier MultiClass-Sports-Classifier Public

    A deep learning project for multi-class classification of sports images across 73 categories. Efficient and accurate sports image recognition with Tensorflow and Keras.

    Jupyter Notebook

  2. selfie_app_features_application selfie_app_features_application Public

    OpenCV project to build skills in image processing: features include Cartoonify and Pencil Sketch effects in a Jupyter Notebook, blemish removal in a Python script, and chroma keying for videos. Pe…

    Jupyter Notebook

  3. Semantic-Segmentation-for-FloodNet-Dataset Semantic-Segmentation-for-FloodNet-Dataset Public

    This repository contains a semantic segmentation model trained on the FloodNet dataset. The model is capable of classifying each pixel in an image into one of 10 predefined classes. The project uti…

    Jupyter Notebook

  4. Artistic_Image_Filter Artistic_Image_Filter Public

    Explore various image manipulation techniques with OpenCV in this project. Mimic popular Photoshop or Instagram filters, experiment with a range of artistic effects, and see how different images pr…

    Python