Unlocking the Archives: Turning Unstructured Documents into a Searchable Database for Groundwater Discovery

Databricks and MapAid built an AI pipeline to classify unstructured scanned documents from Sudan's water archives and extract structured well data.

• •Multimodal AI models analyze page images directly instead of using OCR
• •Intelligent sampling reduces processing costs by 70% while maintaining classification quality
• •Extracts structured well/borehole records with locations, depths, and yield measurements
• •Automated quality evaluation rates classifications and flags low-confidence results for manual review
• •Deployed as single command on Databricks, processing 654 documents in under 3 hours

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