🧠 Brain Tumor Detection AI
Link to open source: https://github.com/alinkumar/brain-tumor-detection
Link to Live Project: https://brain-tumor-detection-alin.streamlit.app/
Brain Tumor Detection AI is an end-to-end deep learning application designed to classify brain MRI images into four categories using a transfer-learning-based EfficientNetB0 architecture.
The system combines image classification with Integrated Gradients to provide a visual explanation of the regions that contributed to the model's prediction.
The trained model is integrated into an interactive Streamlit application where users can upload an MRI image, view the predicted class, inspect class probabilities, and explore the model's attribution map.
Project focus: building a practical, explainable and deployable computer-vision workflow rather than presenting the system as a clinical diagnostic tool.
