Develop Institutional Chatbot Using Deep Neural Networks and NLTK


  • N. Sowjanya Kumari Assistant Professor, Department of Computer Science & Engineering, Andhra University, Visakhapatnam, Andhra Pradesh, India
  • P.V.S.L. Jagadamba Professor, Department of Computer Science & Engineering, Gayatri Vidya Parishad College of Engineering for Women, Visakhapatnam, Andhra Pradesh, India


Deep Neural Networks, Natural Language, human-computer interaction, Artificial intelligence, Chatbots, Stochastic gradient descent (SGD), Natural Language Toolkit (NLTK)


Chatbots are intelligent software that can communicate and perform actions like those of a customer service representative. Chatbots are widely used for customer interaction and marketing on social networking and e-commerce sites. AI-based chatbots have the core ability to learn from any question based on initial training on a predefined dataset. A web-based platform provides a broad intelligent foundation for simulating human problem solving. The technology used here is based on deep neural networks and uses NLP for text processing and FLASK functionality for internal connectivity. Evolution has improved accuracy and performance rates on higher slopes. This recommended chatbot identifies the user context that triggers the specific intent of the response. Based on dynamic responses, it instantly generates the desired response for the user. The proposed system uses deep learning algorithms to train chatbots by experiencing different user responses and requests.


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Review Article