Bavithra, K and Yashwanth Daran, D and Manasha, K G (2026) Personalized Voice Assistant with Emotional Intelligence Using NLP and GCP. In: Emotional Intelligence‐Driven Engineering. Wiley, pp. 325-340. ISBN 9781394389896
Full text not available from this repository.Abstract
Technology has evolved greatly over the last two decades. The vast advancement in automation and AI has now allowed robots to follow and interact to human commands. The use of big data and the development of deep learning models plays a major role in making this progress possible. Because of the continuous made by the developers and researchers, machines can do more and understand better. The main reason for this change is due to the presence of high-performance processors such as NVIDIA's RTX and A-series GPUs. Complicated AI programs can now be built easily and effectively, as because of these advanced chips saves our time and costs of building AI.
Despite the advantage of AI in storing and retrieving large amount of data is still a major challenge, in spite of all its advancement. The requirement of fast storage options keeps growing as AI models become larger and tends to store more data. To get the full benefit of AI over the next years, then the problem needs be solved. Cloud services with the power and ability to use AI technologies on a large scale such as Google's Vertex AI, can make it easier. This project presents a smart digital assistant that detects emotions and respond accordingly by understanding the feelings. It does more than just following the instructions. Using deep learning and natural language processing via Vertex AI, protects the communications safe and secure by using block chain technology as it understands not only the instructions but also the tone and feelings, it keeps updating its knowledge from each interaction by making the conversations more engaging and thoughtful. What makes this assistant better is its emotional intelligence. Like other assistants are dealing with providing quick and smart answers, but this assistant seeks to connect to a higher level by understanding our emotions. It quickly understands our tone and feelings and modifies the response and produces a more engaging interaction. As AI become part of our lives, it's important that using it feels more human. This research gets us closer to that by understanding the emotions, ability of knowing what's happening around and protecting our conversations, it is not about intelligence assistant but more human relationship within ourselves and the technology we interact with daily.
| Item Type: | Book Section |
|---|---|
| Subjects: | Artificial Intelligence and Data Science > Text and Speech Analysis |
| Divisions: | Computer Science and Engineering |
| Depositing User: | Dr Krishnamurthy V |
| Date Deposited: | 12 Aug 2026 08:50 |
| Last Modified: | 12 Aug 2026 08:50 |
| URI: | https://ir.psgitech.ac.in/id/eprint/1905 |
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