OptiMediaAI :Transforming Customer Support with AI-Driven Video Innovation

Divya Prakash

doi:10.55938/ijgasr.v3i4.155

Authors

Divya Prakash Indian Institute of Technology Delhi

DOI:

https://doi.org/10.55938/ijgasr.v3i4.155

Keywords:

Customer Satisfaction, Ai-Powered Video Solution, Problem Solving, Client Happiness, Modern Environment, AI, Machine Learning, Video Communication

Abstract

In a customer-first era, effective care is paramount in driving satisfaction and loyalty. OptiMediaAI, an AI-powered video care platform, revolutionizes customer experiences with state-of-the-art technology including AI, machine learning, video communications, and emotion analysis. Personalized, empathetic, and effective contact through NLP, emotion analysis, and gesture analysis enables deeper relationships and reduced attrition of customers. The solution integrates face recognition, speech-to-text, and LSTM-powered chatbots for inclusivity, correct communications, and real-time responsiveness. Meeting both apparent and unobvious customer needs, OptiMediaAI maximizes fulfillment and enables operational perfection. As a 24x7 AI service agent, it transforms customer care into a real-time and efficient experience, driving business and supporting economic growth. OptiMediaAI is an AI-powered customer care breakthrough innovation.

Downloads

Download data is not yet available.

References

Sercan O Arik, Mike Chrzanowski, Adam Coates, Gregory Diamos, Andrew Gibiansky, Yongguo Kang, Xian Li, John Miller, Andrew Ng, Jonathan Raiman, et al. Deep voice: Real-time neural text-to-speech. arXiv preprint arXiv:1702.07825, 2017.

Ndukwe, I. G., Daniel, B. K., & Amadi, C. E. (2019). A Machine Learning Grading System Using Chatbots. International Conference on Artificial Intelligence in Education (AIED 2019): Artificial Intelligence in Education, 365-368. https://link.springer.com/chapter/10.1007/978-3-030-23207-8_67 DOI: https://doi.org/10.1007/978-3-030-23207-8_67

Zhang, H., Lee, I., Ali, S., DiPaola, D., Cheng, Y., & Breazeal, C. (2022). Integrating Ethics and Career Futures with Technical Learning to Promote AI Literacy for Middle School Students: An Exploratory Study. In International Journal of Artificial Intelligence in Education (Vol. 33, Issue 2, pp. 290–324). Springer Science and Business Media LLC. https://doi.org/10.1007/s40593-022-00293-3 DOI: https://doi.org/10.1007/s40593-022-00293-3

William Chan, Navdeep Jaitly, Quoc Le, and Oriol Vinyals. Listen, attend and spell: A neural network for large vocabulary conversational speech recognition. In Acoustics, Speech and Signal Processing (ICASSP), 2016 IEEE International Conference on, pages 4960–4964. IEEE, 2016 DOI: https://doi.org/10.1109/ICASSP.2016.7472621

Anjum, K., Sameer, M., & Kumar, S. (2023). AI Enabled NLP based Text to Text Medical Chatbot. In 2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM) (pp. 1–5). 2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM). IEEE. https://doi.org/10.1109/iciptm57143.2023.10117966 DOI: https://doi.org/10.1109/ICIPTM57143.2023.10117966

Nithyanandam, S. D., Kasinathan, S., Radhakrishnan, D., & Jebapandian, J. (2021). NLP for Chatbot Application. In Advances in Computational Intelligence and Robotics (pp. 142–168). IGI Global. https://doi.org/10.4018/978-1-7998-7728-8.ch008 DOI: https://doi.org/10.4018/978-1-7998-7728-8.ch008

Kurihara, K., Seiyama, N., Kumano, T., Fukaya, T., Saito, K., & Suzuki, S. (2021). “AI News Anchor” With Deep Learning-Based Speech Synthesis. In SMPTE Motion Imaging Journal (Vol. 130, Issue 3, pp. 19–27). Society of Motion Picture and Television Engineers (SMPTE). https://doi.org/10.5594/jmi.2021.3057703 DOI: https://doi.org/10.5594/JMI.2021.3057703

Andrew J Hunt and Alan W Black. Unit selection in a concatenative speech synthesis system using a large speech database. In 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings, volume 1, pages 373–376. IEEE, 1996. DOI: https://doi.org/10.1109/ICASSP.1996.541110

Modern Chatbot Systems: A Technical Review Proceedings of the Future Technologies Conference (FTC) 2018, 2019, Volume 881 ISBN: 978-3-030-02682-0

Yang, X., & Esquivel, J. A. (2024). Time-Aware LSTM Neural Networks for Dynamic Personalized Recommendation on Business Intelligence. In Tsinghua Science and Technology (Vol. 29, Issue 1, pp. 185–196). Tsinghua University Press. https://doi.org/10.26599/tst.2023.9010025 DOI: https://doi.org/10.26599/TST.2023.9010025

Samta Jain Goyal, Arving Kumar Upadhyay,Rajesh Singh Jadon,A brief Review of Deep Learning Based Approaches for Facial Expression and Gesture Recognition Based on Visual Information, https://doi.org/10.1016/j.matpr.2020.07.300. DOI: https://doi.org/10.1016/j.matpr.2020.07.300

Kamath, U., Liu, J., & Whitaker, J. (2019). Deep Learning for NLP and Speech Recognition. Springer International Publishing. https://doi.org/10.1007/978-3-030-14596-5 DOI: https://doi.org/10.1007/978-3-030-14596-5

Maan, J. (2022). Deep Learning-driven Explainable AI using Generative Adversarial Network (GAN). In 2022 IEEE 19th India Council International Conference (INDICON) (pp. 1–5). 2022 IEEE 19th India Council International Conference (INDICON). IEEE. https://doi.org/10.1109/indicon56171.2022.10039793 DOI: https://doi.org/10.1109/INDICON56171.2022.10039793

Tu, X., Zou, Y., Zhao, J., Ai, W., Dong, J., Yao, Y., Wang, Z., Guo, G., Li, Z., Liu, W., & Feng, J. (2022). Image-to-Video Generation via 3D Facial Dynamics. In IEEE Transactions on Circuits and Systems for Video Technology (Vol. 32, Issue 4, pp. 1805–1819). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/tcsvt.2021.3083257 DOI: https://doi.org/10.1109/TCSVT.2021.3083257