In the contemporary world of constant hustle and bustle, mental issues like stress, anxiety, and emotional imbalance are rising rapidly. Stress, if continuously exposed to it, can adversely impact physical as well as psychological well-being, hampering productivity and causing various diseases. Thus, detecting and monitoring mood and other emotions becomes a necessity. Conventional approaches like using questionnaires and self-reporting methods may give unreliable results due to subjectivity and personal bias. To address these problems, the idea of creating an AI-Based Mood Monitoring and Voice Companion system is suggested in a given project. The system will use Artificial Intelligence and Machine Learning algorithms to determine user's emotion based on their vocal inputs and messages they type in a chat. Identifying patterns in these interactions and comparing them with pre-established ones, the program categorizes the current mood into various states: happy, sad, stressed, neutral, etc. Accordingly, based on the determined state of emotions, the voice companion offers real-time response and gives appropriate suggestions to the user.