Mental Health Monitoring Framework Using AI
Pratibha Singh
Scholar, Department of Computer Science & Engineering, Department of Computer Science & Engineering, Goel Institute of Technology & Management, Lucknow, Uttar Pradesh, India
Anupama Maurya
Scholar, Department of Computer Science & Engineering, Department of Computer Science & Engineering, Goel Institute of Technology & Management, Lucknow, Uttar Pradesh, India
Rahul Bhaskar
Scholar, Department of Computer Science & Engineering, Department of Computer Science & Engineering, Goel Institute of Technology & Management, Lucknow, Uttar Pradesh, India
Sarita Maurya
Assistant Professor, epartment of Computer Science & Engineering, Department of Computer Science Engineering, Goel Institute of Technology & Management, Lucknow, Uttar Pradesh, India
📌 DOI: https://doi.org/10.63920/tjths.52030
🔑 Keywords: Mental Health, Machine Learning, NLP, AI, Stress Prediction, MLOps
📅 Publication Date: 17 April 2026
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This work is licensed under a Creative Commons Attribution 4.0 International License
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Abstract:
Mental health issues such as stress, anxiety, and depression are increasing rapidly due to academic pressure, work stress, and lifestyle changes. Early detection of mental health conditions is important for providing timely support. Traditional mental health assessment methods rely on manual evaluation, which is time-consuming and inconsistent. This research proposes an AI-based mental health monitoring framework using Natural Language Processing (NLP) and machine learning techniques. The system collects user input in text format and predicts mental health condition using trained machine learning models. The system architecture includes React frontend, Flask backend, NLP vectorizer, machine learning model, SQLite database, and Docker deployment. The model processes text input and predicts mental health condition such as stress, anxiety, or normal. The proposed system provides real-time prediction and scalable architecture. Experimental results show improved performance and faster prediction time. This framework can help in early mental health detection and awareness.
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📖 How to Cite
Pratibha S., Anupama M., Rahul B., and Sarita Maurya(2026). Mental Health Monitoring Framework Using AI. TEJAS J. Technol. Humanit. Sci.,, Vol. 05, Issue 02. https://doi.org/10.63920/tjths.52030
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