Paper ID: 2401.13722

Proactive Emotion Tracker: AI-Driven Continuous Mood and Emotion Monitoring

Mohammad Asif, Sudhakar Mishra, Ankush Sonker, Sanidhya Gupta, Somesh Kumar Maurya, Uma Shanker Tiwary

This research project aims to tackle the growing mental health challenges in today's digital age. It employs a modified pre-trained BERT model to detect depressive text within social media and users' web browsing data, achieving an impressive 93% test accuracy. Simultaneously, the project aims to incorporate physiological signals from wearable devices, such as smartwatches and EEG sensors, to provide long-term tracking and prognosis of mood disorders and emotional states. This comprehensive approach holds promise for enhancing early detection of depression and advancing overall mental health outcomes.

Submitted: Jan 24, 2024