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AHMEDSANA/README.md

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πŸš€ About Me

Coding

Name: Ahmed Sana

Role: AI Engineer & Researcher

Focus: 
  - 🧠 Artificial Neural Networks

  - πŸ‘οΈ Computer Vision

  - πŸ₯ Medical AI Research
 
  - 🎨 Generative AI 

Motto: "Building the future with AI, one neural network at a time"

πŸ’» Technical Expertise

🧠 AI & Deep Learning

πŸ‘οΈ Computer Vision & Medical Imaging

πŸ“Š Data Science & Analytics

πŸ› οΈ Frameworks & Libraries

πŸ’» Programming Languages

πŸš€ Deployment & DevOps

πŸ› οΈ Technology Stack

Python
Python
C
C
TensorFlow
TensorFlow
PyTorch
PyTorch
Keras
Keras
OpenCV
OpenCV
NumPy
NumPy
Pandas
Pandas
Matplotlib
Matplotlib
Seaborn
Seaborn
Scikit-Learn
Scikit-Learn
Scikit-Image
Scikit-Image
NiBabel
NiBabel
MATLAB
MATLAB
Streamlit
Streamlit
Git
Git
Linux
Linux
VSCode
VSCode
Jupyter
Jupyter
FastAPI
FastAPI
Hugging Face
Hugging Face

πŸ“Š GitHub Analytics

Ahmed Sana github stats Ahmed Sana's streak

🌟 Featured Projects

🧠 Binary Brain Tumor Segmentation

πŸ”¬ Advanced deep learning model for precise brain tumor detection from MRI scans using U-Net architecture*

πŸ”¬ Multi-Class Brain Tumor Segmentation

🎯 Sophisticated multi-class segmentation model for precise tumor boundary identification and classification*

🎨 Stable Diffusion Implementation

πŸš€ State-of-the-art generative AI model implementation for high-quality image synthesis from text prompts*

🐍 GitHub Contribution Snake

github contribution grid snake animation

🀝 Let's Connect & Collaborate

"The future of tech thrives on collaboration. Drop a hello, and let's code the world's next breakthrough!"
β€” Linus Torvalds

🌟 Open to exciting opportunities in:



"Building the future with AI, one neural network at a time" πŸš€

Popular repositories Loading

  1. Binary-Class-Brain-Tumor-Segmentation-Using-UNET Binary-Class-Brain-Tumor-Segmentation-Using-UNET Public

    We segmented the Brain tumor using Brats dataset and as we know it is in 3D format we used the slicing method in which we slice the images in 2D form according to its 3 axis and then giving the mod…

    Jupyter Notebook 16 2

  2. Four-class-Brain-tumor-segmentation Four-class-Brain-tumor-segmentation Public

    We segmented the Brain tumor using Brats dataset and as we know it is in 3D format we used the slicing method in which we slice the images in 2D form according to its 3 axis and then giving the mod…

    Python 5

  3. Drowsiness-Detection Drowsiness-Detection Public

    In this project we will train our model on open and close eyes dataset then use that with face recognition library to check if the driver is sleeping or not.

    Jupyter Notebook 4

  4. Stable-Diffusion Stable-Diffusion Public

    In this project we will train stable diffusion model on CIFAR10 dataset and then try to generate images form ten different classes.

    Jupyter Notebook 4

  5. Twitter-Sentiment-Analysis-using-RNN-LSTM Twitter-Sentiment-Analysis-using-RNN-LSTM Public

    In this Project we will train our RNN model by giving it different tweets and then predict the sentiments of the tweets.

    Jupyter Notebook 3

  6. Spam-and-Ham-text-classifier Spam-and-Ham-text-classifier Public

    In this project we are using LSTM to classify texts as spam or ham.

    Jupyter Notebook 3