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Shah Mohammed SeamanSoftware Engineer & AI Researcher
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AI & Computer Vision • 2024Open Source

MedAI-LLM-Chatbot

Domain-adapted conversational language model system for clinical triage assistance

View Source Code on GitHub
Domain
Clinical NLP & Triage
Interface
Conversational REST API
License
Open Source
01 / EXECUTIVE OVERVIEW

Problem Context & System Scope

An applied clinical NLP project focusing on structuring unstructured patient symptoms into standardized medical summaries.

Implements strict hallucination guardrails and disclaimer protocols to maintain ethical AI boundaries in healthcare contexts.

02 / SYSTEMS ARCHITECTURE

Technical Breakdown & Pipeline Engineering

Knowledge Retrieval & Prompt Framing

Grounding responses in verified medical taxonomy.

  • Retrieval-augmented guidance verifying symptom combinations against reference guidelines.
  • Explicit uncertainty scoring when queries fall outside verified training distribution.
03 / KEY CHALLENGES & SOLUTIONS

Engineering Hardships & Resolution

Challenge:
Preventing overconfident or erroneous medical advice.
Engineering Solution:

Implemented hard threshold filters and mandatory clinical disclaimer banners across every generated output.

04 / IMPACT & VALIDATION

Quantitative Results & Impact

  • Released as an open-source demonstration of responsible domain-adapted conversational systems.
05 / APPLIED TOOLCHAIN

Technologies & Frameworks

PythonHuggingFaceFastAPILangChain / RetrievalClinical NLP