AI-enhanced bilingual banking assistant.

Financial literacy and access to banking services are still major challenges, especially in multilingual regions. Many people who do not speak English fluently face difficulties using traditional banking online systems. To help solve this problem, we developed a bilingual banking assistant that works in English, Hindi, and Hinglish (a mix of Hindi and English). To ensure user privacy without storing client conversations, the proposed assistant processes natural language banking queries and provides help with product details and financial advice. Our solution uses a Mixtral AI model for language understanding, automatic detection of English, Hindi and mixed languages and uses Google Translate to provide real-time translations. It also supports voice input and output, that makes it easier for users to interact using speech. The assistant can handle queries related to account services, fixed deposits, credit cards, fund transfers and many other banking-related topics. We conducted usability tests with 50 participants across 100 conversations to evaluate the effectiveness of the system. The development of this banking assistant shows how conversational interfaces can potentially improve banking accessibility across various language barriers to promote greater financial inclusion as well as customer satisfaction in a privacy-conscious manner.