Related Issues or bug

• Fruit classification using CNN

Fixes: #429

Proposed Changes

• This project implements a fruit image classification model using deep learning techniques. The goal is to classify images of various fruits into their respective categories. The project leverages machine learning and computer vision libraries to preprocess the images and train a model for accurate classification.

Additional Info

• Image preprocessing using OpenCV and PIL libraries.
• Data augmentation to improve model robustness.
• Deep learning model implementation using TensorFlow or Keras.
• Model evaluation using accuracy, precision, recall, and F1-score.
• Visualizations of training progress (loss and accuracy over epochs).