🌟 Health Prophecy Model 🌟

Transforming Healthcare Access

In a world where many impoverished individuals struggle to access health facilities due to overcrowding, our Health Prophecy Model comes as a beacon of hope. By leveraging the digital landscape, we provide an everyday health monitoring solution tailored for those in need.

🚀 Key Features

• Intuitive User Experience: Navigate effortlessly through our web application designed for all users.
• Accurate Predictions: Harness the power of machine learning with our reliable Random Forest classifier.
• Data Integrity Guaranteed: We ensure data quality by encoding categorical variables and addressing missing values.
• Revolutionizing Healthcare: Move from traditional methods to cutting-edge smart health monitoring.
• 

💻 Installation Instructions

Prerequisites

Before diving in, ensure you have:
- Python 3.x
- pip (Python package installer)

Quick Setup

1. Clone the Repository
   ```bash
   git clone https://github.com/sumankr001/Health_prophecy_using_ML.git
   cd Health_prophecy_using_ML
   Install Dependencies:

pip install -r requirements.txt

Prepare Your Dataset:
Ensure Testing.csv is in your project directory—this is essential for accurate predictions!

Launch the App:
streamlit run app.py

Explore the Application
Head to http://localhost:8501 and start your health journey!

🏥 How to Use
Select Symptoms: Choose from the sidebar checkboxes.
Click "Check Now": Get instant predictions on potential health issues.
Review Predictions: See the predicted disease and the classification report to understand model performance.
🌈 Join Us in Revolutionizing Healthcare!

The Health Prophecy Model is more than just an application—it's a movement towards accessible healthcare for all. Together, let's make health monitoring a reality for everyone!

For more details, visit our GitHub repository @https://github.com/sumankr001/Health_prophecy_using_ML