I have developed similar AI-powered chatbots before, I can show examples.
I specialize in building RAG (Retrieval-Augmented Generation) systems using Langchain, Flowise, and OpenAI APIs, with a strong focus on clinical and decision-support tools. Your vision of a Tumor Board simulator aligns perfectly with my experience in building healthcare-grade AI assistants.
Proposed Workflow:
Input: Surgeon/oncologist enters clinical case or question
RAG Pipeline:
Query parsed via Langchain
Search through structured/unstructured medical sources (PDFs, research papers, guidelines)
Generate a relevant, safe, and explainable response
Response: Context-aware medical recommendation or insight
Backend: Secure API endpoint to manage documents, embeddings, prompts, and chat history
Frontend Integration: Connected seamlessly to your Lovable UI via REST API or webhook
Tools & Experience:
RAG via Langchain + OpenAI or Azure OpenAI
Data ingestion from clinical PDFs, PubMed, NCCN, etc.
Secure backend (FastAPI, Firebase, or Supabase)
Integration with no-code frontends
HIPAA-conscious workflows and prompt safety
Let’s discuss your data sources, access controls, and integration points. I can begin this week.
Best regards,