Emomate AI: Emotion-Aware Conversational System


Authors : Somnath Bapu Raut; Ranveer Ranjeet Deshmukh; Atharv Sanjay Kakade; Shantanu Mangesh Shinde; Sanket Manoj Jadhav

Volume/Issue : Volume 10 - 2025, Issue 10 - October


Google Scholar : https://tinyurl.com/mryhcnyu

Scribd : https://tinyurl.com/56cw8ckm

DOI : https://doi.org/10.38124/ijisrt/25oct1544

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.


Abstract : Emomate AI is an emotion-aware conversational system designed to make human-AI interactions more natural and empathetic. Using Natural Language Processing (NLP) and emotion recognition algorithms, the system detects the user's emotional tone and generates contextually appropriate responses. The goal is to create a chatbot that not only understands text but also understands human feelings, improving user engagement in areas such as education, therapy, and entertainment.

References :

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  2. Devlin, J., et al. (2019). BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.
  3. Hochreiter, S., & Schmidhuber, J. (1997). Long Short-Term Memory. Neural Computation, 9(8), 1735–1780.
  4. Hazarika, D., et al. (2018). ICON: Interactive Conversational Memory Network for Multimodal Emotion Recognition.
  5. Ekman, P. (1992). An argument for basic emotions. Cognition & Emotion, 6(3-4), 169–200.
  6. Sahu, S. K., & Anand, A. (2020). Emotion-Aware Dialogue Generation Using Reinforcement Learning.
  7. Zhang, S., et al. (2020). Chatbots with Empathy: Combining Emotion and Context in Conversational AI.

Emomate AI is an emotion-aware conversational system designed to make human-AI interactions more natural and empathetic. Using Natural Language Processing (NLP) and emotion recognition algorithms, the system detects the user's emotional tone and generates contextually appropriate responses. The goal is to create a chatbot that not only understands text but also understands human feelings, improving user engagement in areas such as education, therapy, and entertainment.

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