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International Journal of Science, Strategic Management and Technology

An International, Peer-Reviewed, Open Access Scholarly Journal Indexed in recognized academic databases · DOI via Crossref The journal adheres to established scholarly publishing, peer-review, and research ethics guidelines set by the UGC

ISSN: 3108-1762 (Online)
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NEURAL-CORE: AN AI PERSONAL ASSISTANT FOR HYBRID DESKTOP AUTOMATION USING GOOGLE GEMINI 1.5 FLASH

AUTHORS:
Sunilkumar M
Kadhiravan K
Mentor
MS Selin Chandra
Affiliation
Department of Computer Science and Information Technology
CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract

The AI Personal Assistant (Neural-Core) is an autonomous desktop application designed to streamline human-computer interaction through advanced natural language processing. The system is built using a Client-Agent-Service architecture, where a Python-based backend serves as a master logic router between the user and cloud-based services. The assistant leverages the Google Gemini 1.5 Flash API for high-speed intent classification, distinguishing between conversational queries, local system commands, and diagnostic requests with minimal latency. User interaction is enabled through a CustomTkinter terminal interface and a voice interception module powered by the SpeechRecognition library. Functional capabilities include autonomous application launching via Python subprocesses, real-time hardware telemetry via psutil, and synthesized audio responses via pyttsx3. Experimental results confirm that integration of the Flash model significantly reduces response times, providing a seamless experience for desktop automation and real-time system monitoring.

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M, S. & K, K. (2026). Neural-Core: An AI Personal Assistant for Hybrid Desktop Automation using Google Gemini 1.5 Flash. International Journal of Science, Strategic Management and Technology, 02(05). https://doi.org/10.55041/ijsmt.v2i5.018

M, Sunilkumar, and Kadhiravan K. "Neural-Core: An AI Personal Assistant for Hybrid Desktop Automation using Google Gemini 1.5 Flash." International Journal of Science, Strategic Management and Technology, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i5.018.

M, Sunilkumar, and Kadhiravan K. "Neural-Core: An AI Personal Assistant for Hybrid Desktop Automation using Google Gemini 1.5 Flash." International Journal of Science, Strategic Management and Technology 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i5.018.

References
[1] S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach, 4th ed. Pearson, 2020.

[2] E. Matthes, Python Crash Course: A Hands-On, Project-Based Introduction to Programming. No Starch Press, 2019.

[3] I. Sommerville, Software Engineering, 10th ed. Pearson, 2015.

[4] Google AI for Developers, "Gemini API and GenAISDKGuide,"[Online].Available: https://ai.google.dev/

[5] Python Documentation, "The Python Standard Library,"[Online].Available: https://docs.python.org/3/

[6] CustomTkinter Documentation, "Modern UI LibraryforPython,"[Online].Available: https://customtkinter.tomschimansky.com/

[7] SpeechRecognition Documentation, "Library for performing speech recognition," [Online]. Available: https://pypi.org/project/SpeechRecognition/

[8] pyttsx3 Documentation, "Text-to-Speech library forPython,"[Online].Available: https://pyttsx3.readthedocs.io/
Ethics and Compliance
✓ All ethical standards met
This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
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