Flutter Based Chatbot for Tourism

Abstract

Kanyakumari, a popular tourist destination in India, attracts tourists from around the world with its scenic beauty, cultural heritage, and historical significance. However, tourists often face challenges in finding accurate information, making bookings, and planning their itinerary, leading to a less-than-optimal experience. In this technology intervention, we propose the development of a chatbot using JavaScript to address these challenges and provide a seamless and memorable tourism experience in Kanyakumari. The chatbot will be designed to engage with tourists in a conversational manner, providing information about tourist attractions answering frequently asked questions, assisting with bookings for accommodations and tours, and offering personalized recommendations based on user preferences. The chatbot will leverage JavaScript libraries for natural language processing (NLP) to understand user inputs, integrate with relevant APIs to fetch real-time data about Kanyakumari's tourist offerings, and implement backend functionality for managing user sessions and storing data. We anticipate that the development of a chatbot as a technology intervention will enhance the tourism experience in Kanyakumari making it hassle-free and memorable for tourists. The chatbot will provide accurate information, streamline bookings, and offer personalized recommendations resulting in improved tourist satisfaction and increased engagement with the destinatio