Brain Tumor Classifier App

The Brain Tumor Classifier App is a machine learning-powered web application that classifies MRI brain images as either containing a tumor or not. Built using PyTorch and Flask, this tool provides a simple interface for healthcare practitioners or researchers to analyze brain MRI scans using pre-trained deep learning models.

Key Highlights:

• High Accuracy: The model achieves approximately 99.7% accuracy in classifying brain tumors.
• Model Explainability: Incorporates explainability features to help users understand the model's predictions.
• Deep Learning Integration: Leverages a convolutional neural network (CNN) trained on MRI image data.
• Flask Web App: User-friendly interface to upload an MRI image and receive a prediction in real time.
• Image Preprocessing: Includes custom preprocessing steps such as resizing, normalization, and conversion to tensors.
• Pre-trained Weights: Uses saved PyTorch weights (brain_model.pt) for fast and accurate predictions.
• OpenCV & Torch: Integrates essential libraries for image handling and neural network inference.