nightfxll/Detect_Brain_Tumours_From_MRI_scans_by_Ark_Abhyudaya

%%writefile README.md

Brain Tumor Detection using Xception

This project uses deep learning (Xception architecture) to detect brain tumors from MRI images. Datasets used: Sartaj, Figshare, BraTS.

📁 Dataset

• —Sourced from Kaggle
• —Preprocessed and augmented
• —Binary classification (Tumor / No Tumor)

📊 Model

• —Base Model: Xception
• —Fine-tuned on tumor datasets
• —Evaluation metrics: Accuracy, Precision, Recall

🚀 How to Run

Train the model in Google Colab and save it using:

model.save('xception_brain_tumor.keras')