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Personal Desktop AI Assistant Using Python

Sonawane

International Journal for Research in Applied Science and Engineering Technology28 Apr 2026Open access

NobleIDark:/48914/w1/20261004/E2DF7533DOI10.22214/ijraset.2026.79523

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Abstract

This paper presents the design and implementation of AURA, a Personal Desktop AI Assistant developed using Python. The system integrates Speech Recognition, Natural Lan- guage Processing (NLP), and Text-to-Speech (TTS) technologies toautomatedesktoptasks.AURAexecutesoperationssuchas launching applications, performing web searches, retrieving system information, sending emails, and managing reminders. Unlike commercial assistants such as Siri and Google Assistant, the proposed system focuses on desktop automation, privacy,and customization. Experimental evaluation shows an average response time of 2.3 seconds and approximately 90productivity and reduced manual interaction

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