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@article{186956,
        author = {AMUTHAPRIYAN A M and ANDREW JEBISH V and THUDHIN N S and SRINIVASAN S},
        title = {Emotion sensitive Grievance bot with sentiment prioritization},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {3627-3631},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=186956},
        abstract = {This project presents an Emotion-Sensitive Grievance Bot with Sentiment Prioritization, designed to detect, analyze, and respond to human emotions in real time. The system employs OpenCV for live facial image acquisition and preprocessing, ensuring accurate and efficient face detection under various lighting and background conditions. A customized EmptyCNN (Emotion-Prioritized Convolutional Neural Network) model is implemented to classify facial expressions into emotional categories such as happy, neutral, sad, and stressed. The EmptyCNN architecture is optimized with minimal layers and parameters to achieve faster training and real-time inference while maintaining high accuracy, making it suitable for lightweight applications. Once an emotion is recognized, it is displayed on a Graphical User Interface (GUI) for user interaction. In cases of negative emotions such as sadness or stress, the system automatically provides supportive feedback and coping suggestions—including motivational prompts, relaxation tips, and short activity recommendations. By integrating OpenCV-based image processing, deep learning classification through EmptyCNN, and interactive GUI feedback, the bot offers an intelligent, adaptive, and emotionally responsive experience.},
        keywords = {IoT; Affective Computing, Emotion Recognition, Sentiment Prioritization, Grievance Bot, OpenCV, EmptyCNN, Deep Learning, Real-Time Processing, Facial Expression Analysis, Human–Computer Interaction, Mental Wellness Monitoring, Counseling Support.Introduction},
        month = {November},
        }