Depression is a mental illness that affects relationships. Early diagnosis is important for timely intervention and support. This article presents an approach to stress assessment using the power of artificial intelligence AI and multimedia. By integrating audio and video support into AI-based tools, we are revolutionizing the early depression detection process designed to increase user engagement and accessibility. We have introduced the best AI that not only provides appropriate questions but also adapts to user preferences for voice and video chat. This innovation encourages participation in psychological testing by recognizing the diversity of user needs and preferences. Through a rigorous process, we measure the impact of audio and video support on user engagement and overall device performance. Our studies show not only the positive results of multiple participation but also the positive effects of this approach in many aspects. We provide great results, including performance reviews, user recommendations, and in-depth reviews of performance tools. The findings highlight the importance of audio and video support in the early detection of depression, pointing to opportunities to improve user engagement and measurement accuracy. This article contributes to the use of health technology by providing new perspectives on early depression detection and user support. The combination of audio and video support promises to provide a more accessible and engaging approach to psychological assessment, opening new avenues for improving research and practice, mental health, and well-being. This summary, supplemented with audio and video, provides a brief overview of the project's focus, methods, key findings, and contribution to early childhood depression research. Depression is a mental illness that affects relationships.