Jollity Chatbot- A contextual AI Assistant

Chatbot is a software application that can stimulate a conversation via text, instead of direct contact with a live human through messaging applications, websites and mobile applications. Chatbot applications help to make interactions between people and services by enhancing the customer experience. Chatbot is widely used in the areas of food ordering, ecommerce and transportation, etc. Practically it is not possible to find a permanent companion to make us happy all the time. Hence, this paper has planned to design a jollity chatbot to talk with the human users and make sure that it entertains and give suggestion and motivation in tough times. The jollity chatbot is implemented in Rasa, an open -source conversational AI framework and it is easy to customize. The proposed method has added 12 intents with each more than 8 text examples constituting a total of 100 input samples in nlu.md and their response in domain.yml. The flow of interactions is given in stories.md. The jollity chatbot is deployed in Telegram using ngrok and the server URL details and the access token are given in the credentials.yml. The system is experimented with various evaluation measures like accuracy of the intents, accuracy of the stories and the confusion matrix to shows that the proposed jollity chatbot system is more robust and can identify the user intents appropriately.