Data Validation Tool

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Problem: Digitizing handwritten or non-machine-readable documents using optical character recognition (OCR) often introduces transcription errors, which can compromise data quality and usability. These inaccuracies make it difficult to rely on the extracted information for analysis or integration into standardized systems. Objective for AI: Leverage large language models to detect and correct OCR-induced errors by applying intelligent validation rules. The goal is to propose accurate corrections and normalize the extracted data into a consistent, stan...