Human-Computer text conversation through NLP in Tamil using Intent Recognition

Chatbots which are also known as conversational interfaces, present a new way for individuals to interact with computer systems. A Chabot allows a user to ask questions in the same manner that they would address a human. Chatbots are currently being adopted in almost all fields. Our Chatbot aims at bridging the gap between parents and educational Institutions. Proportions of parent contribution ordinarily incorporate the quality and recurrence of correspondence with educators just as investment in organization capacities and exercises. Studies show that Parent's involvement and knowledge in their ward's performance, mainly in colleges is scanty. The main reason could be a communication i.e. either communication gap between teachers and parents, or even communication with their child could be an issue. Most parents are unaware of the happenings at college. This paper focuses on developing a Chatbot that leverages NLP by using the Dialog Flow API to answers parent's queries in the native language (Tamil) thus assisting parents in keeping track of their students' performance at college. The significant components of our Chabot incorporate intent detection, routines for conversation management, dialogue design and slot fulfilment. It also uses Flask micro framework and Pusher Channels.