Skin Diseases App | Skin Disease Prediction Application with Streamlit (Decision Tree Algorithm)

📙 Description

This application aims to predict skin diseases based on the symptoms input by the user. By using the Decision Tree Classifier model, the application can provide predictions regarding skin diseases that may be experienced based on the selected symptoms.

📖 Features

Interesting features of Skin Diseases App:

1. Prediction of Skin Diseases Based on Symptoms: This application allows users to predict the type of skin disease based on the symptoms entered. By using a machine learning model, the application provides accurate prediction results as an initial guide to understanding the user's skin condition.

2. Interactive Display: This application is designed with an interactive and user-friendly interface using Streamlit. Users can easily enter data, see prediction results visually, and interact with other features in the application.

🛠️ Project Installation Guide

Following are the steps to run a Streamlit application:

Prerequisites

Make sure you have Python installed on your system before starting.

Steps

1. Clone your Streamlit project repository into a local directory:

git clone https://github.com/ramadhanabelio/skin-diseases-app.git

2. Go to the project directory:

cd skin-diseases-app

3. Install dependencies using pip:

pip install -r requirements.txt

4. Run the Streamlit application:

streamlit run app.py

After following the steps above, your Streamlit project is now ready to use and can be accessed via the browser at http://localhost:8501.