1. Overview of Emotional Intelligence in AI: Practical Challenges and Applications 2. Human Intelligence Vs Artificial Emotional Intelligence: Exploring Scope and Limitations 3. Recent Advancements and Techniques in Natural Language Processing and Emotion-Based Decision Making in AI 4. Exploring Emotions and Sentiment Analysis in AI: An Evolutionary Algorithm-Based Perspective 5. Fully Automated Vs Semi-Automated Transportation Systems: A Comparative Study on Collaborative Models 6. Integration of Data Analytics and Machine Learning: An Evolution of Emotional AI 7. Ethical and Legal Standards, Policies and Regulations in Emotional AI: Myths and Realities 8.

Unleashing the Potential of AI with Human Doctors: Role of Patient Diagnosis with Ensemble Models 9. Generative Adversarial Networks (GAN) in AI: A New Paradigm of Exploring Human Space 10. Uncertainty Handling Using AI with Humans for Language Models: Designing Text Models for the Specially Challenged 11. Case Study on Emotional AI in Travel Management: Predictions and Suggestions 12. Case Study on Emotional Intelligence in Online Shopping Based on Reviews and Feedback Mechanisms 13. Case Study on Gesture-Based Emotion AI in Blood Pressure Detection: Revolution in Healthcare Sectors 14. Case Study on Emotional AI in Waste Management in Smart Cities 15. Case Study on Ads Posting in Social Media Based on Emotional AI: An Individual-Centric Perspective.