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AHMEDSANA
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Ahmed AHMEDSANA

AI Engineer | Machine Learning Enthusiast | Artificial Neural Network Expert

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AHMEDSANA/README.md

About Me

Name: Ahmed Sana

Role: AI Engineer & Researcher

Focus:
- Artificial Neural Networks

- Computer Vision

- Medical AI Research

- Generative AI

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

Technical Expertise

AI & Deep Learning

Computer Vision & Medical Imaging

Data Science & Analytics

Frameworks & Libraries

Programming Languages

Deployment & DevOps

Technology Stack


Python
C
TensorFlow
PyTorch
Keras

OpenCV
NumPy
Pandas
Matplotlib
Seaborn

Scikit-Learn
Scikit-Image
NiBabel
MATLAB
Streamlit

Git
Linux
VSCode
Jupyter
FastAPI

Hugging Face

GitHub Analytics


Featured Projects

Binary Brain Tumor Segmentation

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

Multi-Class Brain Tumor Segmentation

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

Stable Diffusion Implementation

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

GitHub Contribution Snake


Let's Connect & Collaborate

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

Open to exciting opportunities in:



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

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 17 3

  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 6

  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 6

  4. 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 4

  5. 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

  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