🏥 Patient Management System

A full-stack Patient Management System built with FastAPI and Streamlit.

Built as a learning project to explore Python backend and frontend development.

This project allows users to create, view, update, delete, and sort patient records through an interactive web interface.

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Features

Backend (FastAPI)

• Create new patient records
• Retrieve patient details using Patient ID
• Update existing patient information
• Delete patient records
• Sort patients by Height, Weight, or BMI
• Automatic BMI calculation
• BMI health verdict generation
• Request validation using Pydantic
• Interactive API documentation

Frontend (Streamlit)

• Patient search with ID format guidance
• Create patient form
• Update patient records
• Delete patient records
• Sort and analyze patient data
• Backend status monitoring
• Responsive and user-friendly layout

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🛠️ Tech Stack

• Python
• FastAPI
• Pydantic
• Uvicorn
• Streamlit
• Pandas

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⚙️ Installation

1. Clone the Repository

git clone https://github.com/PIYUSH-NEXTGEN/Patient-API.git
cd Patient-API

2. Create a Virtual Environment

python -m venv myenv

3. Activate the Virtual Environment

Windows:

myenv\Scripts\activate

4. Install Dependencies

pip install -r requirements.txt

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▶️ Running the Backend

Start the FastAPI server:

uvicorn main:app --reload

Backend URL:

http://127.0.0.1:8000

Swagger Documentation:

http://127.0.0.1:8000/docs

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🎨 Running the Frontend

In a new terminal:

streamlit run frontend.py

Frontend URL:

Make sure the FastAPI backend is running before launching the frontend.

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📌 API Endpoints

Method	Endpoint	Description
GET	/	Welcome message
GET	/about	API information
GET	/patients/{patient_id}	View patient details
GET	/sort	Sort patient records
POST	/create	Create patient
PUT	/edit/{patient_id}	Update patient
DELETE	/delete/{patient_id}	Delete patient

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🧮 Patient Data

Each patient record contains:

• Patient ID
• Name
• City
• Age
• Gender
• Height
• Weight
• BMI
• Health Verdict

BMI and health verdicts are automatically calculated using patient height and weight.

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