DISEASE-DETECTION

Here’s a more concise version of the README file:

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AI Disease Prediction Model

Overview

This AI model uses MobileNetV2 for disease detection through image analysis. It predicts whether a disease is present based on an uploaded image and provides the result via a simple graphical user interface (GUI).

Features

• Pre-trained MobileNetV2 Model: Used for binary classification (Disease vs. No Disease).
• GUI Integration: Built with tkinter to upload images and display results.
• Image Preprocessing: Resizes and normalizes images for model input.

Requirements

• Python 3.x
• TensorFlow
• Pillow
• tkinter
• Numpy

Install dependencies:

pip install tensorflow pillow numpy

How to Use

1. Run the script:

   python face_recognition_attendance_system.py

2. Click "UPLOAD FILE" to select an image.
3. View the result (Disease Detected or No Disease).

License

MIT License.

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This version keeps it brief while covering the essential details.