Multi-Language Conversational Agent for Tech Support: Design and Implementation
Communicating in multiple languages can be challenging, especially in areas such as customer service, international trade, and online services. Misunderstandings and poor interactions due to language barriers can affect customer satisfaction and company performance. To solve these problems, this study presents a multilingual chatbot designed to bridge the gap between multilingual speakers. Chatbots can answer user questions as well as translate their responses into different languages, enabling seamless interactive communication. The chatbot recognizes the user's language, then interprets the question and responds with both the original and translated text. We have added a feature like customers can receive accurate and clear information regardless of the language. These chatbots can be multilingual, versatile, and adaptable to various sectors and use cases. This is done using open translation tools. The system's high accuracy and fast translation feature make it especially useful for companies and organizations that want to satisfy a wide range of customers worldwide. Chatbots can be used effectively in many situations and can be integrated into translation efforts to provide an overall improvement in user experience. The ability to eliminate language barriers helps businesses build relationships with partners and customers worldwide by promoting better and more effective communication. This innovative solution is important for organizations in today's global business world because it facilitates effective communication in a multilingual world.
Authors
- G. M. Reddy (ORCID: https://orcid.org/0000-0003-0138-853X)
- Rajesh Kumar M (ORCID: https://orcid.org/0000-0002-8954-8077)
- J. Benita
- E Elambharati.
- Nithish Raj. K
Institutions
- Kalasalingam Academy of Research and Education (IN)
Publication Details
- Published
- 2024-12-20
- DOI
- https://doi.org/10.1109/icaiqsa64000.2024.10882255
- Primary Topic
- AI in Service Interactions
- Type
- article
- Field-Weighted Citation Impact
- 0.00