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#003 AI Systems
Created & Curated by Ryan Shoyab

Multimodal Semantic Extraction System

Multimodal Semantic Extraction System
PROMPT TEXT
Act as a Senior AI Architect. Build a Python workflow using Gemini 1.5 Pro to extract semantic key-value details from unstructured documents.

INPUT: Accept PDF documents, scanned JPEGs, or text invoices.
OUTPUT: Extract raw vendor name, registered tax ID, detailed line-items array, total tax, and invoice total. Output formatting must be strictly valid JSON.
EXTRACTION PROTOCOL:
- If a value (like tax ID) is missing, do not guess; output 'UNKNOWN'.
- Run a validator check comparing line-item calculations to the total invoice amount before returning the JSON output. If they do not match, flag in a metadata block.
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Have an automation bottleneck, a website requirement, or a SaaS MVP idea? Reach out directly and let's craft the system your business needs to scale.

LOCATION

Panipat, Haryana, India

Sitting Tiger
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