Emotional wellness plays a crucial role in overall health, yet many people still struggle to access tailored and timely support. TheraBot tackles this issue by functioning as a hybrid AI powered emotional companion. It combines conversational AI, sentiment analysis, and physical hardware to help users dealing with feelings of loneliness, anxiety, and stress. Compared to other solutions that may have limited emotional insight or offer limited ways to interact, TheraBot uses deep learning to recognize emotions in real time through text, and facial expressions. It also incorporates explainable AI to ensure that its decision making process is clear and transparent. Furthermore, TheraBot offers interactive self care activities, supports voice based journaling, and features a 3D printed robot interface to improve the user experience. Recent research from Waseda University (2025) suggests that 75% of users turn to AI systems for emotional guidance, although there are still concerns about privacy and the risk of becoming too dependent. To handle these concerns, TheraBot includes an offline mode to protect user privacy and delivers personalized assistance through cloud based learning. This study reviews existing AI wellness tools, highlights their shortcomings, and introduces TheraBot’s hybrid design as a scalable solution. Preliminary results show that TheraBot is effective in monitoring mood, engaging users in therapy, and maintaining long term user involvement, making it a promising advancement in mental health support for people of all ages.