Linux AI Voice Assistance |
Author(s): |
| Akshaya Janardan Aware , NDMVPSs RSM Polytechnic; Neha Madhav Borhade, NDMVPSs RSM Polytechnic ; Shraddha Ramnath Dusane, NDMVPSs RSM Polytechnic; Saraswati Dattatray Sonar, NDMVPSs RSM Polytechnic; Prof. Snehal Rajole, NDMVPSs RSM Polytechnic |
Keywords: |
| Voice Control, Information Retrieval, Entertainment, Home Automation, Accessibility, Productivity |
Abstract |
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An Artificial Conversation Entity is a computer program designed to simulate human conversation, often referred to as a chatbot. Python is a popular programming language for creating chatbots, as it offers a wide range of libraries and tools for Natural Language Processing (NLP) and Machine Learning (ML). The development of an Artificial Conversation Entity using Python involves several steps, including data collection, preprocessing, model training, and deployment. The data collection process involves gathering a dataset of user inputs and corresponding responses. Preprocessing involves cleaning and preparing the data for use in training the model. The model training phase involves using machine learning algorithms to learn from the dataset and develop a language model that can predict responses to user input. Popular libraries for building chatbots in Python include NLTK, SpaCy, and TensorFlow. |
Other Details |
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Paper ID: IJSRDV12I10077 Published in: Volume : 12, Issue : 1 Publication Date: 01/04/2024 Page(s): 92-94 |
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