Developed an intelligent application that improves typing efficiency by extracting text from images and automatically converting it into editable digital text. The project integrates Optical Character Recognition (OCR) techniques to reduce manual typing effort, improve accuracy, and save time. It is designed to help users quickly process text-based images and documents through automation.ðŸ§
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Built an RPA-based automation solution that automatically organizes files and folders based on predefined rules and file types. The system improves efficiency, reduces manual work, and ensures better file management and organization. 🚀
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Developed an AI-powered legal document analysis platform that performs document summarization, clause detection, risk assessment, and multilingual translation. Built using Python, NLP, and Machine Learning to help users understand legal documents more efficiently.
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