Medicine Assistant
AI-powered diabetes care
concise clinician reports and clear patient summaries
Fast
Accurate
Friendly
How It Works
A simple 3-step flow for clinicians: load patient data, review current state, generate recommendations.
1. Ingest
Data & RAG
Retrieve patient history and medical guidance using RAG against curated standards.
2. Analyze
AI-Powered Review
LLM pipelines summarize labs, vitals and medications to surface risks and options.
3. Report
Dual Reports
Clinician-facing recommendations and a simplified patient summary for shared decision making.
Built for Clinical Workflows
Designed to integrate into real world consultations — minimal clicks, clear outputs, and reproducible notes.
- Fast patient search and toggleable list/grid views.
- Focused consultation UI with targeted inputs and automated suggestions.
- Exportable reports and streamlined edit workflows for records.
Real-time
Instant analysis
Evidence
Guideline-linked
Secure
Local data support
Extensible
Plug LLM providers
Technology Stack
Gemini
ChromaDB
OpenAI Embeddings
Flask
Tailwind CSS
LangChain