• Monis Khot

Abstract: Pybot can change the way learners try to learn python programming language in a more interactive way. This chatbot will try to solve or provide answer to almost every python related issues or queries that the user is asking for. We are implementing NLP using NLTK module for improving the efficiency of the chatbot. We will include voice feature for more interactivity to the user. Sequence to Sequence model introduced in Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation has since then, become the Go-To model for Dialogue Systems and Machine Translation. It consists of two RNNs (Recurrent Neural Network): An Encoder and a Decoder. The encoder takes a sequence (sentence) as input and processes one symbol (word) at each time step. Its objective is to convert a sequence of symbols into a fixed size feature vector that encodes only the important information in the sequence while losing the unnecessary information. You can visualize data flow in the encoder along the time axis, as the flow of local information from one end of the sequence to another.

Natural Language Processing, Machine Learning, Recurrent Neural Network, Chatterbot

"PyBot- A chatbot for answering python queries ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.452-455, May-2019, Available :http://www.jetir.org/papers/JETIR1905782.pdf

"PyBot- A chatbot for answering python queries ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp452-455, May-2019, Available at : http://www.jetir.org/papers/JETIR1905782.pdf