• Hemish PrakashChandra Kapadia

The development of natural language processing (NLP) and artificial intelligence (AI) has also brought about considerable change in the banking sector by making it possible to include voice and conversational interfaces into web applications. These technologies improve user contact by offering a simpler and more efficient means of communication. Customers can ask questions about services, execute banking transactions, and receive individualized financial advice using natural language directions. Sentiment analysis, machine learning, and ASR are used by voice-based and chatbots to provide real-time, context-aware responses. However, despite its benefits, the use of voice and conversational interfaces in banking mobile applications has a number of drawbacks, such as security flaws, problems with authentication, regulatory compliance, and user privacy concerns. Another technological challenge is maintaining high accuracy in speech recognition across many dialects, languages, and accents. The fundamental architecture, AI models, and deployment tactics of voice-based banking systems are examined in this article. While talking about the promise of conversational AI in financial services going forward, it also identifies important obstacles and solutions.

Natural Language Processing (NLP), Chatbots, virtual Assistant, conversational artificial intelligence (AI), voice banking, automatic speech recognition (ASR), financial technology, user experience, Sentiment analysis, digital banking, AI-powered customer service, security, compliance, and fraud detection

"Voice and Conversational Interfaces in Banking Web Apps", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 6, page no.g817-g823, June-2021, Available :http://www.jetir.org/papers/JETIR2106928.pdf

"Voice and Conversational Interfaces in Banking Web Apps", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 6, page no. ppg817-g823, June-2021, Available at : http://www.jetir.org/papers/JETIR2106928.pdf