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eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in March 2026 (Volume 29, Issue 3) Submit manuscript

AI desktop assistant using python and Tkinter: Bujji

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  • AI desktop assistant using python and Tkinter: Bujji

Nagur Vali Shaik, Venkatesham Tunge, Nithin Kumar Kanagala *, Harsha Vardhan Bhumandla and Shruti Kana

Department of CSE (Data Science), ACE Engineering college, Telangana, Hyderabad, India.

Research Article

World Journal of Advanced Research and Reviews, 2025, 25(02), 465-473

Article DOI: 10.30574/wjarr.2025.25.2.0383

DOI url: https://doi.org/10.30574/wjarr.2025.25.2.0383

Received on 25 December 2024; revised on 01 February 2025; accepted on 03 February 2025

This project focuses on creating a versatile AI desktop assistant using Python and Tkinter, designed to simplify routine tasks through intuitive voice commands. By combining speech recognition, text-to speech technologies, and a graphical user interface, the assistant delivers a seamless user experience for task automation. The project serves as an excellent starting point for those interested in artificial intelligence, human-computer interaction, and Python programming. The assistant's core functionality includes recognizing and executing voice commands, providing real-time weather updates for a specified city, announcing the current time, and automating web browsing for popular websites. A minimalistic yet effective GUI ensures accessibility for users of all skill levels. With its modular architecture, this project also demonstrates how Python's extensive library ecosystem can be leveraged to integrate diverse functionalities efficiently. This project creates a simple AI desktop assistant using Python and Tkinter. The assistant helps automate common tasks through voice commands, using speech recognition and text-to-speech technologies.

Voice Commands; Weather Updates; Time Check; Web Browsing; User Interface

https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2025-0383.pdf

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Nagur Vali Shaik, Venkatesham Tunge, Nithin Kumar Kanagala, Harsha Vardhan Bhumandla and Shruti Kana. AI desktop assistant using python and Tkinter: Bujji. World Journal of Advanced Research and Reviews, 2025, 25(2), 465-473. Article DOI: https://doi.org/10.30574/wjarr.2025.25.2.0383

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