Towards a Unified AI Companion: Integrating Speech Recognition, NLP, and Automation for Personalized Health and Productivity

Abstract

The proliferation of AI assistants has revolutionized human- computer interaction, yet existing systems lack comprehensive integration of health coaching, adaptive personalization, and cross- platform functionality. We present Dorothy AI, a unified digital companion that integrates advanced speech recognition, natural language processing, task automation, and adaptive fitness coaching into a cohesive system. Our hybrid speech recognition approach achieves 99.2% personalized accuracy by combining multiple acoustic models with confidence-based ensemble selection. The system employs context-aware NLP with 94.2% intent classification accuracy across 127 sub-intents, supporting multi- turn conversations with 10-turn memory. We introduce novel contributions including: (1) real-time AR-powered exercise form analysis achieving 92% correlation with professional trainer assessments at FPS, (2) HRV-based adaptive training optimization with 87% accuracy in predicting workout readiness, (3) multilingual code-switching support for English- Hindi with 82% accuracy, and Our research demonstrates that integrating multiple AI modalities with personalized health coaching significantly enhances user engagement and fitness outcomes

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