Abstract: Ash is an intelligent, voice-enabled desktop assistant designed to enhance user productivity and automate complex tasks through natural language processing and machine learning. The system captures user voice commands and text inputs, processes them using advanced NLP techniques, and executes a wide range of desktop automation tasks including opening/closing applications, system controls (lock, sleep, alarm, volume adjustment), web searches, and real-time information retrieval. Additionally, Ash features a local image generation module that creates images based on user prompts, enabling creative content generation directly from voice or text commands without requiring external API calls. The system integrates reinforcement learning for adaptive user behavior prediction, context-aware voice tone adjustment. Unlike commercial assistants, Ash provides transparent, fully-customizable implementation with complete developer control.
Keywords: Virtual Assistant; Desktop Automation; Speech Recognition; Natural Language Processing; Intelligent User Interface; Task-Oriented Dialogue System.
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DOI:
10.17148/IJARCCE.2025.141294
[1] Karanam Seshagiri Rao, Mohammed Amanulla, Syed Shadab, Sayyad Khaja Sadruddin, Military Mohammad Usman-E-Gani, "ASH: A PERSONALIZED AI-DESKTOP ASSISTANT WITH ADVANCED MACHINE LEARNING INTEGRATIONS," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2025.141294