Development of a Micro Counselling Educational Platform Based on AI and Face Recognition to Prevent Students Anxiety Disorder

The rapid development of Information and Communication Technology (ICT) has brought broad consequences for example in the fields of education, health but mental health is rarely considered especially among Indonesian teenagers. Traditional approaches, such as in-person consultations with mental health professionals, often fall short due to accessibility and affordability issues. This research developed MoodNow, an E-learning system with personalized mental support using face recognition and artificial intelligence for students in grades 10 to 11 of SMK Negeri 10 Malang. Built with Design Thinking, the platform is dedicated to offering real-time mental health checks and customized virtual counseling. The system architecture incorporates user-friendly interfaces, robust backend processing, and AI-driven mood detection via the Gemini API Usability tests were also conducted, which presented a very high detection accuracy on emotions of 90%. This exchange rate gave the platform an excellent usability score, scoring 85.9% thus characterizing the project as highly effective. MoodNow's integration of AI and face recognition technologies demonstrates its potential to transform mental health support by offering real-time, personalized interventions. Despite challenges such as privacy concerns and the need for improved emotion detection accuracy, MoodNow represents a significant advancement in providing accessible and effective mental health care. This research contributes to the Sustainable Development Goals (SDG 3) by promoting mental well-being and fostering a supportive educational environment