Railway Chatbot Customer Query Resolution and Cheapest Train Recommendations
The Railway Chatbot project involves the development of an intelligent chatbot system for a railway website. The chatbot utilizes web scraping to gather data and offers customer support by providing answers to queries and frequently asked questions (FAQs). It also recommends the most affordable train options for specific destinations. The project aims to enhance the user experience by streamlining customer support services and delivering accurate and up-to-date information.
Natural Language Processing (NLP)
The Railway Chatbot project aims to develop an intelligent chatbot system for a railway website. The chatbot will utilize web scraping to collect data and provide customer support by answering queries and frequently asked questions (FAQs). It will also recommend the cheapest trains for specific destinations. The project aims to enhance the user experience by streamlining customer support services and offering accurate and up-to-date information.
The chatbot will employ natural language processing (NLP) techniques to understand and interpret user queries, providing prompt and accurate responses. It will address a wide range of customer inquiries, including ticket availability, train schedules, fares, and more. By analyzing available train data, the chatbot will recommend the most cost-effective travel options, considering factors such as fare prices, travel durations, and available discounts.
Using web scraping libraries for data collection, NLP frameworks for language processing, and chatbot development frameworks for building the conversational interface, the Railway Chatbot project aims to improve customer satisfaction, reduce response time, and provide personalized assistance to railway passengers. By automating customer support and offering valuable recommendations, the chatbot will contribute to a seamless and efficient railway experience for travelers.
Beautiful soup, Selenium, NLTK