Personalized Mental Health Monitoring Using AI and Mobile Data

About Internship

Professor, Department of Computer Science and Applications, from School of Advanced Studies, S-VYASA (Deemed to be University), Bengaluru,, is accepting interns interested in the field of Computer Science, in the research area of Artificial intelligence and Machine learning.

Mental health issues such as anxiety, depression, and stress are increasingly prevalent and often go undetected until they escalate. Continuous and passive monitoring through AI-powered systems using mobile data presents a non-intrusive, cost-effective solution to identify early symptoms and provide timely interventions. This research aims to develop a personalized AI model that monitors an individual's mental well-being using multimodal mobile data—such as usage patterns, GPS, voice tone, text messages, and sleep/activity patterns—while ensuring privacy and personalization. Roles and Responsibilities of Interns: 1. Conduct Literature Review – Study existing AI models in mental health and identify research gaps. 2. Collect and Preprocess Data – Gather mobile and survey data ethically and prepare it for model training. 3. Develop AI Models – Build and train machine learning models for mood prediction and personalization. 4. Implement and Test Prototype – Integrate models into a mobile-based system and evaluate performance. 5. Ensure Privacy and Ethics – Follow data privacy norms and ethical research practices. 6. Document and Present – Maintain records, write reports, and present findings during reviews or seminars. 7. Collaborate Effectively – Work, communicate progress, and incorporate feedback from guides.