HIA (Health Insights Agent)

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HIA (Health Insights Agent) is an AI tool that analyzes blood reports and provides detailed health insights. It features an agent-based architecture with multi-model AI for report analysis and follow-up Q&A.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is HIA (Health Insights Agent)?

HIA (Health Insights Agent) is an AI-powered tool designed to analyze blood reports and deliver comprehensive health insights. It utilizes an agent-based architecture, featuring an Analysis Agent for in-context learning and a built-in knowledge base, alongside a Chat Agent for RAG-powered follow-up Q&A. The system employs a multi-model cascade via Groq with automatic fallback for robust AI processing. Users can upload PDF reports (up to 20MB, 50 pages) or use a sample report, with daily analysis limits. It includes secure Supabase Auth, session validation, and history management, all presented through a modern, responsive Streamlit UI.

Best used for

Ideal for doctors and researchers who need to quickly analyze blood reports, generate detailed health insights, and engage in follow-up Q&A based on the report data. Especially valuable for those seeking an open-source, customizable solution for medical data interpretation.

Common actions

analyze medical reports

generate health insights

answer health questions

manage patient data

collaborationlow-code/no-codeworkflowsopen-sourcedeepfakeautomated workflowgithub copilotface swapping"AI Agents"

Capabilities

Key features

Blood report analysis
RAG-powered follow-up Q&A
Multi-model AI cascade
PDF upload (up to 20MB)
Secure user authentication
Session history management
Streamlit responsive UI

Target Audience

doctordata scientistprofessor

Integrations

supabasegroqlangchainhuggingface

Pricing & Plans

Open Source

Free

FAQs

What kind of blood reports can HIA analyze?

HIA is designed to analyze blood reports in PDF format, supporting files up to 20MB and 50 pages. It performs content validation to ensure the uploaded document is indeed a medical report before processing.

How does HIA handle follow-up questions about a report?

HIA uses a RAG (Retrieval-Augmented Generation) powered Chat Agent. This agent leverages HuggingFace embeddings and a FAISS vector store to provide contextualized answers to follow-up questions based on the analyzed report.

What AI models does HIA use for analysis?

HIA employs a multi-model cascade via Groq, with automatic fallback. The primary model is meta-llama/llama-4-maverick-17b-128e-instruct, with secondary and tertiary fallbacks including llama-3.3-70b-versatile and llama-3.1-8b-instant.

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Subcategories trending in Wellness & Lifestyle

Health & Fitness Gaming & Entertainment Mental Wellness Self-Improvement Medical & Symptom Checking Home & Real Estate

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Also listed in

This tool also appears in

Research & Education › Academic Research Data & Analytics › Business Intelligence AI Agents & Automation › RAG & Document AI

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