BP
Back to selected work
AIRAGPython

Smart Crisis Counselor

Intelligent RAG-based system for crisis counseling. Uses LLMs to provide context-aware response suggestions and knowledge retrieval for sensitive scenarios.

Project spotlight

AI-powered crisis response

Developed a RAG-based system that helps crisis counselors respond effectively with context-aware suggestions and knowledge retrieval.

RAG Architecture
Built-in Safety
Prototype Status

Key decisions

  • Retrieval Augmented Generation for accurate responses
  • Vector database for crisis response knowledge base
  • Context-aware prompt engineering
  • Safety guardrails for sensitive content

Build walkthrough

A closer look at the implementation thinking.

This is the part for engineering managers and technical reviewers who want signal beyond screenshots.

Step 1

Knowledge retrieval

Retrieves relevant crisis response protocols based on the situation context.

Retrieval
Semantic
context = vector_db.similarity_search(query)
response = llm.generate(
    prompt=format_prompt(query, context),
    guardrails=crisis_safety_rules
)

Next case study

Continue with YouTube Companion

Browse the next project to see another slice of my frontend, tooling, and systems work.

Next project