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Smart systems for Universities powered by Artificial Intelligence have beenmassively developed to help humans in various tasks. The chatbot concept is notsomething new in today society which is developing with recent technology.College students or candidates of college students often need actualinformation like asking for something to customer service, especially duringthis pandemic, when it is difficult to have an immediate face-to-face meeting.Chatbots are functionally helping in several things such as curriculuminformation, admission for new students, schedule info for any lecture courses,students grade information, and some adding features for Muslim worshipsschedule, also weather forecast information. This Chatbot is developed by DeepLearning models, which was adopted by an artificial intelligence model thatreplicates human intelligence with some specific training schemes. This kind ofDeep Learning is based on RNN which has some specific memory savings scheme forthe Deep Learning Model, specifically this chatbot using LSTM which alreadyintegrates by RASA framework. LSTM is also known as Long Short Term Memorywhich efficiently saves some required memory but will remove some memory thatis not needed. This Chatbot uses the FB platform because of the FB users havealready reached up to 60.8% of its entire population in Indonesia. Here's thechatbot only focuses on case studies at campus of the Magister Informatics FTIUniversity of Islamic Indonesia. This research is a first stage developmentwithin fairly sufficient simulate data.

Developing FB Chatbot Based on Deep Learning Using RASA Framework for University Enquiries