SafeMeds is a real-time, AI-powered clinical decision support tool that evaluates drug-to-drug interactions using natural language queries.
It helps healthcare professionals reduce medication risks and make faster, safer decisions.
Frontend: React.js (Vercel)
Backend: Flask (Python, AWS EC2, Render)
AI Model: LLaMA3-8B via Groq API
Deployment: AWS, Vercel (Frontend), Custom Domain Setup
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🔎 Natural Language Drug Queries
Example: "Can I take ibuprofen with metformin?" → AI responds with safety analysis. -
⚙️ Groq + LLaMA3 AI Integration
State-of-the-art LLMs for clinical drug interaction interpretation. -
🖥️ Clean & Responsive UI
Optimized for clarity and accessibility for healthcare professionals. -
🌐 Full Stack Deployment
Scalable cloud infrastructure with integrated frontend & backend.
| Name | Role |
|---|---|
| Marka S Charan 🔗 GitHub • 🔗 LinkedIn | Full Stack Developer, Integration |
| Dhrumin Upadhyay 🔗 GitHub • 🔗 LinkedIn | Machine learning |
| Nidhi Thakore 🔗 GitHub • 🔗 LinkedIn | AWS Deployment, Domain Setup |
| Ayushi Majumdar 🔗 GitHub • 🔗 LinkedIn | UI/UX & Frontend Designer |
# Clone the repository
git clone https://github.com/your-username/SafeMeds-Frontend.git
cd SafeMeds-Frontend
# Install dependencies
npm install
# Start development server
npm run dev