• 🎓 B.Tech in Computer Science (Data Science)
• 💡 Passionate about AI/ML, Deep Learning & Real-World Problem Solving
• 🚀 Currently preparing for AI/ML roles (Internship + Full-Time)

🧠 Alzheimer’s Disease Detection using Deep Learning & GNN

• 📄 Published Research Paper
• 🧠 Combines Graph Neural Networks + Swin Transformer
• 📊 Achieved 92.1% accuracy, 91.0% F1-score, 0.947 ROC-AUC
• ⚙️ Advanced preprocessing using FastSurferCNN

📌 This project reflects my strong interest in AI for Healthcare & research-driven development

Python, TensorFlow, Keras, GNN, Swin Transformer, nnU-Net

• Hybrid GNN + Swin Transformer architecture for detecting Alzheimer's from 3D MRI scans
• Built complete ML pipeline: preprocessing, feature engineering, hyperparameter tuning & evaluation
• Research-backed implementation
• 📄 Paper

Python, FastAPI, React.js, Docker, Hugging Face, Vercel, Render

• AI-powered web app that reads & rates Terms & Conditions from A to E — so you know what you're agreeing to before you click accept
• Full-stack architecture: React frontend · FastAPI backend · ML inference on Hugging Face Spaces
• Deployed end-to-end with Docker containerization
• 🌐 Website · GitHub

✔️ Published research at IEEE CICT 2025 — AI-based healthcare solution ✔️ Built high-accuracy ML models (92.1% accuracy) on medical datasets ✔️ Hands-on experience with advanced preprocessing pipelines ✔️ Top 12 teams (internal round) — Smart India Hackathon (SIH) 2024

💬 I’m open to:

• AI/ML Projects
• Research Collaborations
• Internships & Job Opportunities

🚀 Let’s build impactful AI solutions together!

⭐️ From Aishee Dutta