Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{174794,
        author = {Ponnada Hari Sai Krishna and Yajjala Anjali and Sabbavarapu Ganesh and Bandaru Durga Chandrashekhar},
        title = {Mental Health Detection Using Custom CNN through Facial Expressions},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {3631-3635},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=174794},
        abstract = {This project is designed to efficiently and precisely detect faces in images, analyze variations in facial features that correspond to different emotional states, and categorize these emotions. It considers a broad spectrum of emotions, ranging from basic to complex expressions. The system is composed of three essential modules: facial detection, feature extraction, and emotion classification.},
        keywords = {Facial Expression Recognition, Face Detection, Facial Feature Extraction, Expression Classification},
        month = {April},
        }