International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 7, Issue 3 (May-June 2025) Submit your research before last 3 days of June to publish your research paper in the issue of May-June.
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Depression Detection Using Chatbot and Live Video Facial Analysis

Author(s) Ms. Sripada Indira Keerthi, Dr. M Swapna Reddy, Ms. Kalapatapu Kedari Sree Siri Vadana, Mr. Sakru Naik Kodavath
Country India
Abstract Depression significantly affects millions of individuals worldwide, influencing mental, physical, and emotional well-being. Early detection and timely intervention are crucial to improve the quality of life for individuals living with depression. This study introduces an innovative AI-driven system that integrates chatbot technology, facial expression analysis via live video, and machine learning algorithms for detecting depression. The system utilizes a unique combination of real-time facial analysis and chatbot interactions to assess users’ emotional states, capturing subtle patterns indicative of depression. By analyzing facial expressions and engaging users in conversations, the AI-driven system provides an empathetic space for individuals to express their feelings. The underlying machine learning model is trained on a specialized dataset, which includes depression-related tweets extracted from Twitter to analyze text-based sentiments and emotions. Various supervised machine learning algorithms, including support vector machines (SVM) and deep learning neural networks, are employed to predict depressive symptoms accurately. The system’s
performance is evaluated through cross-validation, ensuring optimal accuracy. The results demonstrate that the proposed AI tool enhances mental health diagnostics by offering a real-time, accessible, and non-invasive platform for early depression detection, complementing traditional assessment methods.
Keywords Depression detection, Chatbot technology, Facial expression analysis, Machine learning, Sentiment analysis.
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 7, Issue 3, May-June 2025
Published On 2025-06-17
DOI https://doi.org/10.36948/ijfmr.2025.v07i03.47657
Short DOI https://doi.org/g9qp36
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