Real-time Arabic spell checker web app using Flask, pyspellchecker, and camel-tools. Highlights misspelled words and suggests corrections.
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Jul 27, 2025 - HTML
Real-time Arabic spell checker web app using Flask, pyspellchecker, and camel-tools. Highlights misspelled words and suggests corrections.
This project focuses on applying data analysis and machine learning techniques through a hands-on application.
Benchmark: Arabic PDF/OCR contamination causes +253% tokenizer blowup and −73% retrieval recall. Reproduced in one command.
Project for my thesis where i utilise the HARD arabic dataset do pre processing on it then compare autoML tuned hyperparameters vs a default non-tuned option
Detect and repair visually-baked Arabic text from PDFs, OCR, and legacy sources. Fixes what NFKC can't.
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