Heart Disease Analysis & Prediction App

A full-stack application for predicting the likelihood of heart disease using Machine Learning.

🚀 Features

• Machine Learning: Multiple classifiers (Logistic Regression, SVM, Random Forest, Decision Tree) trained on heart disease data.
• Backend: FastAPI providing prediction endpoints and model management.
• Frontend: React-based dashboard for interactive data entry and batch uploads.
• Data Handling: Handles missing values via KNN Imputation and scaling for optimal performance.

🛠️ Tech Stack

• Backend: Python, FastAPI, Scikit-Learn, Pandas, Joblib.
• Frontend: React, Lucide Icons, Modern CSS.

📂 Project Structure

• backend/: Python API and ML training scripts.
• frontend/: React source code and components.

⚙️ Setup

1. Backend:

   cd backend
   pip install -r requirements.txt
   python train_model.py
   uvicorn main:app --reload

2. Frontend:

   cd frontend
   npm install
   npm run dev

---