❤️ Heart Disease Prediction System

An AI-powered web application that predicts the risk of heart disease using Machine Learning and an interactive Streamlit dashboard.

🌐 Live Demo

https://heart-disease-diagnosis-using.streamlit.app/

📌 Features

• ❤️ Heart Disease Risk Prediction
• 🤖 Machine Learning Model (Random Forest Classifier)
• 📊 Interactive Risk Analysis Dashboard
• 🩺 Patient Information Input Panel
• 📈 Risk Score Visualization
• 📋 Patient Summary Report
• 📄 Downloadable Report
• 🎨 Modern Streamlit User Interface
• ☁️ Cloud Deployment using Streamlit Cloud

🛠️ Technologies Used

• Python
• Streamlit
• Pandas
• NumPy
• Scikit-Learn
• Plotly

📂 Dataset

The project uses the Heart Disease dataset:

• heart_statlog_cleveland_hungary_final.csv

🚀 Installation

Clone the repository:

git clone https://github.com/coderkarishma/Heart-Disease-Diagnosis-using-Machine-Learning-and-Data-Mining-main.git

Navigate to the project folder:

cd Heart-Disease-Diagnosis-using-Machine-Learning-and-Data-Mining-main

Install dependencies:

pip install -r requirements.txt

Run the application:

streamlit run app.py

🧠 Machine Learning Model

The application uses:

• Random Forest Classifier
• StandardScaler for feature scaling
• Train-Test Split for model training

📸 Application Preview

Dashboard

• Patient Information Panel
• Risk Prediction System
• Risk Score Analysis
• Health Recommendations

🎯 Project Objective

The objective of this project is to assist in the early detection of heart disease risk using machine learning techniques and provide an easy-to-use healthcare dashboard.

👩‍💻 Developer

Karishma Sain

GitHub: https://github.com/coderkarishma

🌟 Live Application

https://heart-disease-diagnosis-using.streamlit.app/