---
title: Cotton Plant Disease Classifier
sdk: streamlit
emoji: 🏃
colorFrom: green
colorTo: yellow
pinned: false
short_description: This Streamlit app utilizes a deep learning model to classif
license: apache-2.0
---

This Streamlit app utilizes a deep learning model to classify images of cotton leaves into various disease categories or as healthy. The model, built with TensorFlow, has been trained on a dataset of cotton plant leaves under different conditions, aiming to assist farmers and agronomists in early disease detection and management.

## Features
- **Image Upload**: Users can upload images of cotton leaves to get instant predictions.
- **Disease Classification**: The app classifies the leaf as healthy or identifies the specific disease affecting it.
- **Model Insights**: Provides insights into the confidence levels of the predictions.

## How to Use
1. **Upload Image**: Click on the 'Upload Image' button to upload a photo of a cotton leaf.
2. **View Prediction**: After the image is processed, view the prediction displayed on the screen.

## Technology Stack
- **TensorFlow & Keras**: For building and training the deep learning model.
- **Streamlit**: For creating the web application interface.
- **Python**: The backend logic and model training scripts.

## Configuration Reference
For more details on configuring and deploying Streamlit apps on Hugging Face Spaces, check out the [configuration reference](https://huggingface.co/docs/hub/spaces-config-reference).

## About
Developed by Sharjeel Ahmad khan, this tool aims to leverage machine learning for agricultural advancements, making it easier to detect and manage plant diseases early on.