NEURAL-CORE: AN AI PERSONAL ASSISTANT FOR HYBRID DESKTOP AUTOMATION USING GOOGLE GEMINI 1.5 FLASH
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.
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.
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