ILMIX AI: A Context-Aware Voice Assistant for Personalized Task Automation

Author(s)	Imran, Gopal K, Deepan S U, Akash M, Kabirdosar S
Country	India
Abstract	Modern voice assistants are often command driven, cloud dependent, and weakly personalized, which limits privacy and offline task automation. This paper presents ILMIX AI, a context-aware voice assistant for personalized desktop automation. A modular Python prototype was developed with dynamic context weighting, confidence-gated execution, behavioral anomaly monitoring, multi-user profile separation, and local-first storage. Evaluation on desktop tasks showed 0.93 intent accuracy, 0.91 command success, 1.6 s offline response time, and fewer execution errors through clarification.
Keywords	Context-Aware Voice Assistant, Personalized Automation, Offline AI, Continual Learning, Behavioral Security
Field	Computer Applications
Published In	Volume 7, Issue 2, March-April 2026
Published On	2026-04-12

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