PhysioPlay: Enhancing Clinical Skills through AI Simulation

PhysioPlay is an innovative AI-powered solution designed to help budding physiotherapists practice their diagnostic skills and logical reasoning with patient persona simulations. The application combines gamified learning, real-time feedback, and case-based scenarios to build confidence and provide hands-on exposure without real-world risks.

Key Features

• Interactive AI-Driven Simulations: Real-world patient scenarios with guided diagnostic interactions.
• Gamified Reward System: Build motivation through performance-based rewards.
• Affordable and Accessible: Bridging the gap between theoretical knowledge and clinical application for students and professionals alike.
• Multiple Physiotherapy Domains: Including orthopedics, neurology, pediatrics, and more.

Steps to Set Up and Run PhysioPlay

Prerequisites

1. Install Python (3.8 or higher).
2. Install Streamlit and additional dependencies.

Clone the Repository

$ git clone https://github.com/your-repo-link/PhysioPlay.git
$ cd PhysioPlay

Setting Up the Environment

1. Install Required Libraries:

   $ pip install -r requirements.txt

2. Prepare Case Studies:

   • Place your PDF case studies in the data/ directory.
   • Ensure the files are properly named and relevant.

Running the Application

1. Backend Server

• Location: Refer to the BASIC_LANGCHAIN.py file.
• Command:

  $ python BASIC_LANGCHAIN.py

2. Streamlit Interface

• Location: Refer to the 6.py file.
• Command:

  $ streamlit run 6.py

Accessing the Application

1. Open your browser.
2. Visit the URL displayed in the terminal (usually http://localhost:8501).

Contribution

We welcome contributions to enhance PhysioPlay further. For major changes, please open an issue first to discuss your ideas.