Recent advancements in large language models have enabled the use of chatbots in many sectors. Voice assistants and chatbots are particularly useful for obtaining information across various industries. Chatbots are extremely beneficial in the tourism sector to provide general and timely information about tourism-related activities. This helps a large number of tourists to rely on the bot instead of getting fragmented information and can better plan their trip to a new city. This research explores the use of a multilingual and multimodal chatbot in tourism and how this multimodal approach opens new avenues for engaging users and enhancing technology utilization and adoption. An LSTM model is employed to build the chatbot for this multimodal platform. The paper also discusses the limitations of this work and future opportunities in this area.