Abstract: This project aims to develop an innovative approach for predicting user mental health by combining facial expression analysis and traditional questionnaires. Leveraging advancements in facial recognition technology and machine learning algorithms, the system interprets facial expressions to identify emotional states, while users concurrently complete standardized mental health questionnaires. The multimodal dataset, consisting of facial expression data and self-reported questionnaire responses, will be subjected to deep learning techniques to extract meaningful patterns and correlations. A panel for suggestions and improvement is also proposed.
Keywords: Automated, CV2, Face Detection, Recognition, Machine Learning, Mental Health
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DOI:
10.17148/IJARCCE.2024.13517
