I'm a Computer Science student in my 7th semester, passionate about Machine Learning, Deep Learning, and Computer Vision. I specialize in AI-powered solutions for image classification, object detection, and medical image segmentation.
- 🖥️ Computer Vision & Image Processing (2D & 3D)
- 🏥 Medical Image Segmentation & Classification
- 🧠 Deep Learning Model Training & Optimization
- 📊 Data Science & AI Research
- 🏗 Building & Deploying AI Models with Flask
- 🏫 Teaching Python & AI with Real-World Applications
- Python, Java, C++
- TensorFlow, Keras, PyTorch
- OpenCV, MONAI (Medical Imaging), Scikit-Learn
- Numpy, Pandas, Matplotlib, Seaborn
- Flask, Tkinter (GUI Development)
- Jupyter Notebook, Google Colab, GitHub, VS Code
- 🔬 Advanced Deep Learning Architectures (CNNs, RNNs, GANs, Transformer Models)
- 🏥 3D Image Segmentation & Processing (NIfTI, DICOM datasets)
- 🎯 Object Detection & Instance Segmentation (YOLO, Mask R-CNN, Faster R-CNN)
- ☁ Deploying AI models in cloud & edge environments
🔹 Medical AI Research: Classification models for retinal vessel images
🔹 Deep Learning for Image Segmentation: Implemented UNet, 3D UNet, and MONAI-based models
🔹 Object Detection & Classification: Worked with YOLO, Faster R-CNN, and SSD
🔹 AI Model Deployment: Built Flask APIs to serve trained models for real-time image analysis
🚀 Enhancing my final-year project with advanced deep learning techniques
📢 Developing engaging Python projects for AI & ML learners
📚 Mastering 3D medical image segmentation & analysis
💡 Completing a 100-day AI/DL fellowship with Bytewise
📧 Email: [email protected]
🔗 GitHub: github.com/zaryabahmadkhan
🔗 LinkedIn: linkedin.com/in/zaryabahmadkhan
⭐ If you find my projects useful, feel free to star this repository!