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Working from home
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Working from home
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fatimasood/README.md

Hi there, I'm Fatima 👋

🚀 AI Research Student | Explainable AI (XAI) • Quantum AI

Bridging the gap between High-Performance Deep Learning and Clinical Trust.

Currently pursuing my Master’s in Artificial Intelligence, specializing in making medical AI transparent and interpretable. Former Flutter Developer with a "production-first" mindset.

🧠 Research Focus: "Beyond the Black Box"

I develop interpretable frameworks for high-stakes medical diagnostics:

  • Autism Spectrum Disorder (ASD): Utilizing XAI to identify early-stage biomarkers.
  • Chronic Disease (Diabetes): Enhancing predictive trust using feature attribution methods.
  • Mission: Building AI that doctors can understand and trust.

🛠️ Technical Ecosystem

Field Tools & Frameworks
Explainable AI SHAP • LIME • Integrated Gradients • Grad-CAM
Deep Learning PyTorch • TensorFlow • Keras • Scikit-Learn
Data Science Python • Pandas • NumPy • Matplotlib • Seaborn
NLP and Transformers BERT • HuggingFace Transformers • LSTM • Text Classification
Quantum Machine Learning PennyLane • Hybrid Quantum-Classical Models
Mobile Engineering Flutter • Dart • Firebase • Provider/Bloc • REST APIs • Supabase

📊 GitHub Stats



📬 Let's Collaborate

  • 🔭 Currently: Refining XAI models for clinical reliability.
  • 💬 Ask me about: Why your model is a "Black Box" and how we can fix it.
  • 📫 Connect: LinkedIn | Email

🧠 Research Philosophy

"An AI model that cannot explain its reasoning should never make medical decisions."

⭐ If you find my work interesting, feel free to explore the repositories or connect for collaboration.

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  1. XAI-Hybrid-Quantum-Liver-Disease-Detection XAI-Hybrid-Quantum-Liver-Disease-Detection Public

    Explainable Hybrid Quantum–Classical Neural Network for Liver Disease Detection using PennyLane, TensorFlow, and XAI techniques (SHAP, Integrated Gradients).

    HTML

  2. CNN-Based-Early-Autism-Detection-Using-Facial-Image-Analysis CNN-Based-Early-Autism-Detection-Using-Facial-Image-Analysis Public

    A deep learning project for early detection of Autism Spectrum Disorder (ASD) using facial image analysis. Built with CNN architectures (Xception, VGG16) and a clean, reproducible ML pipeline.

    Jupyter Notebook

  3. High-Resolution-Face-Restoration-with-Hybrid-Context-Encoder High-Resolution-Face-Restoration-with-Hybrid-Context-Encoder Public

    Deep learning pipeline for restoring damaged celebrity portraits using U-Net Autoencoder, GAN, and Hybrid Context Encoder. Includes masking pipeline, custom losses, and evaluation metrics.

    Jupyter Notebook

  4. XAI-Diabetes-Prediction XAI-Diabetes-Prediction Public

    Predicting diabetes with transparency: A Stacking Ensemble combined with LIME for explainable insights into patient data

    Jupyter Notebook

  5. Smart_helmet_flutter_mobileapp Smart_helmet_flutter_mobileapp Public

    Revolutionize road safety with our Smart Helmet: instant accident detection and emergency aid for riders, ensuring timely assistance.

    Dart

  6. InfoKlub-App InfoKlub-App Public archive

    InfoKlub is a smart app to manage personal, educational, medical, and career information securely. It features drag-and-drop file uploads, AI-powered CV generation, real-time updates, and data encr…

    Dart 1