Abstract:

This paper presents an AI-driven tool for personalized document and presentation generation, leveraging machine learning to automate content creation while preserving a user's unique writing style, tone, and formatting preferences. By analyzing previous documents and presentations, the system builds a dynamic user profile that guides the generation of new content consistent with the user’s established style. The research investigates multiple machine learning algorithms to improve content accuracy, minimize errors, and provide intelligent, style- aware suggestions. The tool’s performance is evaluated through comprehensive testing, demonstrating its potential for application across diverse academic and professional settings.

Description:

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