RAG Chatbot for Health Centers & NGOs

SeafaringIT

StageSur site4 à 6 moisDate limite : 23 févr. 2026
NLP/LLMsÉclairageAI/ML ReadinessBackend (.NET)Vector Databases (FAISS, Chroma)Social Security LawFull-stack (Laravel/React)

Postuler

Description

  • Goals:
  • Build a reliable conversational AI assistant for health staff and social workers
  • Provide accurate, sourced answers about procedures, rights, and referrals
  • Ensure traceability, access control, and audit logging
  • Student roles: Backend engineers (Python), AI/ML engineers, full-stack developers, security engineers
  • Expected outcomes: RAG-powered chatbot with vector indexing, RBAC, audit logging, quality evaluation, and a simple web UI
  • Key features:
  • Document ingestion/prep (chunking, cleaning, preprocessing)
  • Vector indexing with semantic search (embeddings)
  • Sourced responses with citations and references
  • RBAC with audit logging
  • Quality evaluation (test questions, hallucination detection)
  • Simple web interface + admin dashboard
  • Conversation history and audit trails
  • Technologies: Python, RAG frameworks, embeddings (OpenAI, Hugging Face), Qdrant/FAISS, FastAPI, RBAC, audit logging, React/Vue, vector databases