MENTAL HEALTH PREDICTION USING DIGITAL FOOTPRINT

Registration ID: IJNRD_325263

Published ID: IJNRD2605493

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SIDDESH K T, SPANDANA H G

Mental Health Prediction, Digital Footprint, Machine Learning, Sentiment Analysis Artificial Intelligence.Social Media Analysis, Data Mining, Behavioral Analysis, Depression Detection, PredictiveAnalytics.

The project “Mental Health Prediction Using Digital FootPrint” With rapid digitization, people increasingly express emotions, thoughts, and behaviours through online activities such as social media usage, browsing patterns, communication habits, and smartphone .interactions. These digital footprints provide valuable insights into an individual's mental well-being. Traditional mental health assessment methods rely on self-reporting and clinical interviews, which may be delayed or inaccurate due to stigma or lack of awareness. The project “Mental Health Prediction Using Digital Footprint” aims to. build an intelligent system that analyses online behavioural data using machine learning, natural language processing (NLP), and pattern-recognition techniques to detect early signs of mental health .conditions. The system collects digital footprints such as social media posts, activity logs, communication. frequency, and usage patterns. Machine Learning algorithms will analyse these signals to identify behavioural trends, emotional changes, and risk factors related to stress, anxiety, and depression. This smart ecosystem supports early detection, improves awareness, and helps individuals receive timely assistance. The project promotes mental well-being by combining technology, behavioural science, and data analytics. such as protecting user privacy, ensuring ethical use of data, and making the predictive models interpretable for users and healthcare. providers. The system collects digital footprints such as social media posts, activity logs, communication frequency, and usage patterns. Machine Learning algorithms will analyse these signals to identify. behavioural trends, emotional changes, and risk factors related to stress, anxiety, and depression.

Published Paper   E-Certificate

SIDDESH K T & SPANDANA H G (May-2026). MENTAL HEALTH PREDICTION USING DIGITAL FOOTPRINT. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 11(5), e716-e722. https://ijnrd.org/papers/IJNRD2605493.pdf

Volume 11 Issue 5, May-2026

Pages : e716-e722

Paper Reg. ID: IJNRD_325263

Published Paper Id: IJNRD2605493

Research Area: Other area not in list

Author Type: Indian Author

Country: DAVANAGERE, KARNATAKA, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2605493.pdf

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