Research Article | Open Access | Download Full Text
Volume 3 | Issue 4 | Year 2024 | Article Id: DST-V3I4P106 DOI: https://doi.org/10.59232/DST-V3I4P106
Personal Desktop Assistant: A Python-Based Productivity Automation System
Devi Dharshini, Geethanjali, Saran
| Received | Revised | Accepted | Published |
|---|---|---|---|
| 08 Oct 2024 | 07 Nov 2024 | 01 Dec 2024 | 24 Dec 2024 |
Citation
Devi Dharshini, Geethanjali, Saran. “Personal Desktop Assistant: A Python-Based Productivity Automation System.” DS Journal of Digital Science and Technology, vol. 3, no. 4, pp. 49-57, 2024.
Abstract
The rapid advancements in personal computing have fostered an increasing demand for intelligent desktop assistants to streamline daily tasks and enhance user productivity. This project introduces a Personal Desktop Assistant developed using Python, equipped with capabilities like voice recognition, Natural Language Processing (NLP), and real-time task automation. The assistant is designed to perform diverse functions, including web searches, sending emails, accessing real-time updates through APIs, and executing system commands—all through a voice-activated interface. Key technologies include Python libraries such as Speech Recognition for processing voice input, pyttsx3 for text-to-speech conversion, and various third-party APIs for extending functionality. The system delivers an interactive, user-friendly experience, significantly reducing manual effort while enhancing accessibility and convenience. This project exemplifies the integration of modern technologies to create a versatile, efficient, and engaging personal assistant tailored to user needs.
Keywords
Virtual Assistant, Voice Recognition, NLP, Task Automation, API Integration, Productivity Enhancement.
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