Added Plant_Disease notebook

[Pranaykarvi]

Plant Disease

Overview
This project is a machine learning web application utilizing a Convolutional Neural Network (CNN) to make predictions based on user input data. The project includes a Jupyter notebook for training and evaluating the CNN model

Project Structure

Plant_Disease.ipynb: A Jupyter notebook focused on:

• Data preprocessing and exploration
• Model training using a CNN for effective feature extraction and classification
• Evaluation of the model's performance
• Saving the trained CNN model for use in the web app

Model Training

The CNN model is trained on a prepared dataset in Train_Dataset.ipynb, which includes:

• Training and validation phases to assess accuracy and loss

[Pranaykarvi]

Plant Disease

Overview This project is a machine learning web application utilizing a Convolutional Neural Network (CNN) to make predictions based on user input data. The project includes a Jupyter notebook for training and evaluating the CNN model

Project Structure

Plant_Disease.ipynb: A Jupyter notebook focused on:

• Data preprocessing and exploration
• Model training using a CNN for effective feature extraction and classification
• Evaluation of the model's performance
• Saving the trained CNN model for use in the web app

Model Training

The CNN model is trained on a prepared dataset in Train_Dataset.ipynb, which includes:

• Training and validation phases to assess accuracy and loss

This notebook is based on the dataset called as "New Plant Diseases Dataset"
View the Dataset