Smart home management is becoming increasingly important, requiring high-end systems that seamlessly integrate with users' needs and preferences. We introduce SYNERGY, an intelligent system to optimally support home environment management that can integrate smart home devices through context-aware actions and natural language interactions. By integrating NLP, machine learning, and the AI2-THOR virtual environment, SYNERGY detects users' intentions and emotional signals, enabling adaptive responses. Unlike systems limited by superficial empathy, SYNERGY facilitates deeper and more meaningful interactions. To effectively address task allocation, SYNERGY uses a reward-based mechanism that optimizes device usage and minimizes user effort. Our research demonstrates high accuracy in emotion and intent recognition, along with superior performance in task allocation and real-time adaptability. Evaluation confirms its effectiveness in improving user satisfaction by providing contextually relevant responses and seamless device control. Future work aims to incorporate more user-centric features, advancing SYNERGY as a practical and empathetic smart home solution.