" This project explores deep learning–based image classification by training a TensorFlow model to analyze medical image slices for tumor detection experiments. The focus is on building a clean, reproducible machine-learning workflow—including dataset organization, preprocessing, model training, and evaluation—rather than clinical deployment. The project serves as a personal research and portfolio piece demonstrating practical experience with Python, TensorFlow/Keras, and image-based ML pipelines. "

• TensorFlow-based image classification pipeline
• Structured dataset handling and preprocessing workflow
• Modular training and evaluation setup for rapid experimentation
• Clear separation of data, model, and configuration logic
• Reproducible experiments with consistent results tracking
• Designed as a research and learning project, not a clinical tool