MediGuard AI – An Interactive Drug Interaction and Side Effect Predictor using LLMs with RAG-based Chat Assistance

🚀 Features

• Drug Interaction Prediction: Uses LLaMA models to analyze potential interactions between drugs.
• Side Effect Analysis: Identifies possible adverse effects based on drug combinations.
• Intuitive UI: Built using Streamlit for a seamless user experience.
• Visualization Tools: Uses Matplotlib and Plotly for interactive data representation.

📌 Prerequisites

Before installing MediGuard AI, ensure your system meets the following requirements:

• Python 3.7 or higher
• An active internet connection (for package installations)
• Git installed (for cloning the repository)

🛠️ Installation Guide

Follow these steps to set up MediGuard AI on your local machine.

1️⃣ Clone the Repository

 git clone https://github.com/MediGuardAI/App_MediGuardAI.git
 cd App_MediGuardAI

2️⃣ Set Up a Virtual Environment

To avoid conflicts with system-wide dependencies, it’s recommended to use a virtual environment.

python -m venv venv

Activate the Virtual Environment

• Windows:

  venv\Scripts\activate

• MacOS/Linux:

  source venv/bin/activate

3️⃣ Upgrade Pip

Ensure you have the latest version of pip before proceeding.

python -m pip install --upgrade pip

4️⃣ Install Required Dependencies

Install the necessary Python libraries using the following command:

pip install -r requirements.txt

If requirements.txt is not available, install manually:

pip install streamlit pandas plotly reportlab torch torchvision torchaudio transformers matplotlib

5️⃣ Run the Application

After successful installation, start MediGuard AI using:

streamlit run main.py

This will launch the app in your default web browser.

🏆 Contribution Guidelines

We welcome contributions from the community! If you'd like to contribute:

1. Fork the repository
2. Create a new branch (feature-branch)
3. Make your changes
4. Submit a pull request

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