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Image Upload and Prediction Application

This is a Flask web application that allows users to upload images and uses a trained model to make predictions.

Features

  • Image upload functionality
  • Image prediction using a trained TensorFlow/Keras model

Dependencies

  • Flask
  • Flask-Uploads
  • TensorFlow
  • Keras
  • OpenCV
  • numpy

Usage

  1. Navigate to the root URL of the web application.
  2. Use the upload form to upload an image.
  3. The application will save the image and use a trained model to make a prediction.

Model

The application uses a trained model stored in a file named model.h5. Make sure this file is in the same directory as app.py.

Image Storage

Uploaded images are stored in the static/img directory. Make sure this directory exists and the application has write permissions to it.

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