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@article{179643,
        author = {Hardik Singh and Pradyuman Yadav},
        title = {Emotional Intelligence in Artificial Intelligence Systems: A Comprehensive Analysis of Emotion Recognition},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {7235-7241},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=179643},
        abstract = {This paper explores how emotional intelligence (EI) is being integrated into artificial intelligence (AI) to make machines more empathetic and responsive to human emotions. It reviews how AI systems recognize emotions through facial expressions, speech, text, and physiological signals using both single and combined methods. The paper compares traditional machine learning with modern deep learning models like CNNs, RNNs, and LSTMs. It also discusses how AI generates emotionally appropriate responses using generative models and natural language processing. Key datasets and evaluation metrics are covered, along with real-world applications in healthcare, education, customer service, and entertainment. The paper concludes by addressing challenges such as limited data, cultural differences, ethical concerns, and suggests future directions for building more reliable and emotionally aware AI systems.},
        keywords = {Artificial Intelligence, Emotional Intelligence, Emotion Recognition, Emotion Response, Deep Learning, Machine Learning, Multimodal Systems, Human-Computer Interaction, Affective Computing},
        month = {May},
        }