Smart Data Cleaner

Build an AI-powered data cleaning tool that detects inconsistencies, duplicates, formatting issues, and missing values in tabular data. The AI suggests corrections and lets users approve or reject each change in a review interface.

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Objectives

Detect duplicate rows and near-duplicate records using fuzzy matching
Identify and flag formatting inconsistencies within columns
Use AI to suggest corrections for misspellings and standardization
Build a review interface where users approve or reject each suggested change
Export the cleaned dataset as CSV or JSON

Hints

Use Levenshtein distance or similar for fuzzy duplicate detection
Group similar values and ask the AI which is the canonical form
Process cleaning suggestions in batches to minimize API calls

Resources

platform.openai.com/docs/guides/text-generation

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