Automated facial expression recognition is a growing field used in various applications like emotion-based photo labeling and video surveillance. Ekman proposed six distinct emotions covered by most datasets and cutting-edge techniques: anger, disgust, fear, happiness, sorrow, and surprise. These emotions are universal, shared by all people regardless of culture. Ekman later added more emotions like excitement and embarrassment. Researchers also study micro-expressions lasting less than half a second. Mirrors help individuals regulate feelings and communicate with themselves and others, benefiting those with social anxiety. Smart mirrors with added AI and face recognition can offer personalized features. [1]The proposed project adapts existing smart mirror technology to help stoics monitor their emotions. IoT and smart environments are increasingly incorporating automatic human emotion identification, enhancing interactions with virtual assistants like Siri and Google Assistant. Relatives and specialists can monitor a stoic's mental health through the project, aided by Google Assistant's capabilities to provide support and information. Google Assistant, with its natural language processing and machine learning algorithms, can assist stoics when they need someone to talk to, making it a valuable addition to the project. Many studies explore integrating Google Assistant with smart mirrors for enhanced functionality and support[2].

Smart Emotional disorder Facial Expression Virtual Assistant Smart Monitoring Emotion Journal Stoics Tracking Analysis.