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💊 PHARMA CORE - Drug Interaction Intelligence Platform

📖 About

PHARMA CORE is a next-generation clinical intelligence engine designed to predict, analyze, and explain complex Drug-Drug Interactions (DDI). By bridging the gap between classical Machine Learning (Logistic Regression) and state-of-the-art Generative AI (Google Gemini), it provides healthcare professionals with instant risk assessments and deep biological insights.


🛠️ Technologies

The platform is built using a modern, scalable tech stack:

  • Backend: FastAPI (Python)
  • Frontend: HTML5, Vanilla CSS (Glassmorphism UI), JavaScript (ES6+)
  • GenAI: Google Gemini Pro API
  • Machine Learning: Scikit-Learn (Logistic Regression) & XGBoost
  • Database: SQLite3 / SQLAlchemy
  • Data Processing: Pandas
  • Containerization: Docker & Docker Compose

🚀 Features

  • ⚡ Real-time Predictive Engine: Instant severity prediction (Severe, Moderate, Mild) using a Logistic Regression model with 83.2% accuracy.
  • 🧠 GenAI Clinical Explanations: Powered by Google Gemini, provides streaming, word-by-word clinical justifications for interaction risks.
  • 🛡️ Glassmorphism UI: A premium, futuristic dashboard built for high-performance clinical data visualization.
  • 📜 Interaction History: Persistent tracking of previous diagnostics for rapid clinical review.
  • 📦 Scalable Architecture: Fully containerized using Docker for seamless deployment across any environment.
  • 🔄 Data Integration: Robust pipeline to merge and process clinical interaction datasets.

🏁 The process running the project

Follow these steps to get the platform up and running on your local machine:

1. Clone the repository

git clone https://github.com/Monu034/Drug-Interaction-Intelligence-Platform.git
cd Drug-Interaction-Intelligence-Platform

2. Set up Environment Variables

Create a .env file in the root directory and add your Google Gemini API key:

GOOGLE_API_KEY=your_gemini_api_key_here

3. Option A: Run with Python (Local)

Ensure you have Python 3.9+ installed, then run:

# Install dependencies
pip install -r requirements.txt

# Start the application
python -m app.main

The application will be available at http://localhost:8000.

4. Option B: Run with Docker (Recommended)

If you have Docker and Docker Compose installed:

docker-compose up --build

The application will be accessible at http://localhost:8000.


📊 Preview of small running at the end

Below is a preview of the PHARMA CORE intelligence dashboard in action, showcasing the glassmorphism interface and real-time clinical analysis.

PHARMA CORE Banner

Note: The dashboard provides real-time streaming explanations of drug interactions, helping clinicians understand the underlying biological mechanisms.


Built with ❤️ by Monu Shaik for the Next Generation of Healthcare.

About

PHARMA CORE: A high-performance Drug-Drug Interaction (DDI) intelligence platform combining Scikit-Learn (83.2% accuracy) and Google Gemini AI for real-time clinical risk assessment and streaming clinical explanations.

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