<![CDATA[Student mental health has become an important concern, as academic, financial, social, and emotional pressures may be associated with symptoms of depression, anxiety, and stress. This study aims to develop and evaluate a Virtual Personal Assistance Guide (VPAG) based on Artificial Intelligence as a supporting tool for initial screening and self-reflection among students at Universitas Negeri Surabaya. The study employed a Research and Development approach using the ADDIE model, comprising Analysis, Design, Development, Implementation, and Evaluation. The system provides 11 features, including DASS-21, voice input, indicative interpretation, action recommendations, professional referrals, and progress charts. The evaluation involved Black Box Testing, validation by two experts, and assessments from 68 students across seven study programs. Functional testing demonstrated that all 11 features operated according to the predefined test scenarios. Expert validation yielded a mean score of 4.50 out of 5, while student evaluations achieved a mean score of 4.27 out of 5 based on the evaluation questionnaire. Expert feedback emphasized the need for empathetic language, non-diagnostic explanations of results, and clearer professional referral mechanisms. These findings indicate that VPAG has potential as a supporting tool for initial screening, mental health education, and student self-reflection. However, the evaluation does not establish clinical effectiveness or the accuracy of AI-generated interpretations; therefore, VPAG cannot replace professional diagnosis or mental health services.]]>
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