DocuMind AI — Multi-Modal Document Intelligence

DocuMind AI is a multi-modal, multi-agent document intelligence platform built on AMD MI300X GPU infrastructure via Fireworks AI's OpenAI-compatible inference API. The Problem: Professionals spend hours manually extracting insights from complex documents containing both text and visual content (charts, diagrams, figures). Existing tools handle text OR images, not both together. The Solution: DocuMind AI runs a sequential 4-agent CrewAI pipeline on AMD Instinct MI300X GPUs: 1. Vision Agent — uses Kimi K2.5 to analyze every image, chart, and diagram embedded in the document 2. Reader Agent — uses DeepSeek V3.1 to extract text, identify entities, classify document type, and extract key facts 3. Analyst Agent — synthesizes visual AND textual findings into cross-modal insights 4. Reporter Agent — produces a structured intelligence report: Executive Summary, Key Entities, Categorized Insights, and Actionable Recommendations AMD Technology Used: AMD Instinct MI300X GPUs via Fireworks AI with OpenAI-compatible API — zero-friction integration with CrewAI and Python AI ecosystem. Kimi K2.5 vision-language model + DeepSeek V3.1 open-source frontier text model, both running on AMD hardware. Why This Matters: Covers Track 1 (AI Agents) AND Track 3 (Vision/Multimodal). Real business value for researchers, analysts, and professionals. Live demo on Hugging Face Spaces with zero setup required for judges. MIT open-source with full documentation.