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dsminalijaz-droid/README.md

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👩‍💻 About Me

  • 🔭 Focus: Deep learning for medical image analysis, plus AI systems that actually ship.
  • 🧠 AI Interest: Machine Learning, Deep Learning, Generative AI and Agentic AI workflows.
  • 🗄️ Data: SQL, data preprocessing, augmentation and rigorous model evaluation.
  • 🎓 Education: Master of IT (CGPA 3.8 / 4.0) · BS Computer Science

🔬 Research Spotlight

👁️ Diabetic Retinopathy Classification

Master's Capstone · 2026

  • Quantitative experimental framework to grade DR severity from retinal fundus images
  • Preprocessed and augmented an imbalanced medical image dataset
  • Benchmarked InceptionV3 · DenseNet121 · EfficientNetB0 · EfficientNetB5 using validation accuracy, loss curves and confusion matrices

TensorFlow Keras Transfer Learning Computer Vision


🧰 Tech Stack

Also: SQL · Deep Learning · Transfer Learning · Generative AI · Agentic AI · SEO · Web Design · Project Management


🚀 Featured Projects

🧪 Project 📖 What it does 🛠️ Tech
Crack Detection Detects cracks in civil structures from images and scores crack intensity Python OpenCV Django
COVID-19 Portal Awareness portal with vaccination registration, complaints and admin dashboard Django SQLite
Expense Tracker Expense tracking app with a FastAPI backend and Streamlit interface Python FastAPI Streamlit

📜 Certifications

Google IBM


📊 GitHub Analytics

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🤝 Open to research collaborations in medical imaging and deep learning.

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