Cloud-based voice assistant systems using Apple SiriKit seek to improve user experience by streamlining interactions. SiriKit's cloud connectivity enables scalable applications that employ natural language processing and machine learning to interpret and reply to user questions. Accessibility, task automation, and cross-platform communication are the goals. The objective is to create a secure, private system that responds to user preferences. The system may be tailored to give personalized experiences using Apple's SiriKit, making task management, smart device control, and information access easy. This technique increases user engagement via voice-driven interaction and provides an easy interface for all demographics and settings. VoiceCommand_SuccessRate dataset uses 5 Apple devices with 5 parameters. Total Commands is 1813–3640, Successful Commands is 919–4588, Failed Commands is 109–186, and Success Rate (%) is 85.41–92.25. Five command categories with five parameters were utilized from Intent_Recognition dataset. Total Commands is 1564–2930, Correct Recognitions is 989–2619, Incorrect Recognitions is 81–197, and Accuracy (%) is 92.21–96.9. Five command categories with five arguments were utilized from Context_Utilization dataset. Total Commands is 1564–2930, Correct Recognitions is 989 2619, Incorrect Recognitions is 81–197, and Accuracy (%) is 92.21–96.9.