A Scalable Architecture for Text Correction and Normalization
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Updated
Dec 21, 2025 - Python
A Scalable Architecture for Text Correction and Normalization
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A professional, web-based application designed specifically for handling and analyzing large CSV and text files that are too massive for conventional spreadsheet software. Built with Python and Flask, it provides a robust, browser-based interface for searching, previewing, and exporting data from files that can exceed several gigabytes in size.
Leadership Coach AI Agent with Youtube knowledge base and Web Search
Efficiently import very large CSV files into a database using Laravel 12 seeders. This project demonstrates memory-safe CSV streaming, chunked inserts, and optimized performance for handling millions of records without timeouts.
A high-performance Change Data Capture (CDC) tool for comparing CSV files and detecting differences. Built with Python and optimized for speed using Polars, NumPy, and xxHash.
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