Bridging the Healthcare Gap with Gemini 2.5 Flash & Neo4j Knowledge Graphs
We believe that health is a daily journey, not just a response to illness. Most people managing health needs aren't "patients"—they are proactive individuals looking for clarity.
- Breaking the Information Barrier: We believe professional medical insights should be a public right, not a specialized privilege.
- Simplification for Equity: By making medical reports easy to understand, we empower everyone—regardless of their educational background—to make informed decisions about their own bodies.
- Human-Centric Tech: We combine the "logic" of Graph Databases with the "empathy" of LLMs to create a tool that speaks your language.
- Phase 1: Core Drug-Drug Interaction (DDI) engine with Neo4j.
- Phase 2: Real-time medication scanning UI.
- Phase 3: Medical Report Translation (Jargon-to-Human) — Leveraging Gemini 2.5 Flash to simplify complex medical terminology into actionable daily insights.
Leveraging the structured logic of Neo4j, MediGuard maps complex relationships between various medications. It identifies potential risks not just by name, but by analyzing active ingredients and metabolic pathways, ensuring that daily health management is backed by rigorous data.
Aiming to bridge the information gap where medical reports are filled with intimidating terminology. This upcoming feature will use Gemini 2.5 Flash to "translate" professional reports into clear, empathetic, and human-readable language.
- Understandable: No more confusing acronyms or Latin terms.
- Actionable: Clear insights that help you make informed daily health decisions.
MediGuard-AI-Assistant/
├── frontend/ # UI Components (HTML5, Tailwind CSS, JS)
├── backend/ # API Engine (Flask, Gemini 2.5, Py2neo)
├── database/ # Knowledge Graph Data (CSV files)
├── requirements.txt # Python Dependencies
└── README.md # Project Documentation