Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{146391,
        author = {Parag Chaudhari and Yash Patil and Srikar Nakka and Omkar Pawaskar},
        title = {AI Based Assistant with Speech Recognition},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {4},
        number = {12},
        pages = {479-485},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=146391},
        abstract = {Autonomous robotic systems and intelligent artificial agent’s capability have advanced dramatically. Voice-based digital Assistants such as Apple’s Siri and Google’s Now are currently booming.  Artificial Intelligence is being used in management fields like assistance and monitoring, since a machine has become capable of learning simple activities of humans. PDAs are built to help the user get things done (e.g., setting up an alarm/reminder/meeting, taking notes, creating lists) and provide easy access to personal/external structured data, web services, and applications. In this paper we use AI and its computing capabilities to build a personal assistant application to help user in accomplishing its task and make him productive in his routine .Speech recognition as the man machine interface plays an important role in the field of AI, since it’s a hand free option to give instructions to a machine. In this paper we use Hidden Markov Model to illustrate how speech recognition actually happens. We also explain use of neural network which is used to give learning capability to our assistant.   We intend to build a personal assistant agent capable to discover the user’s habits, abilities, preferences, and goals, even more accurately anticipating the user’s intentions},
        keywords = {Artificial Intelligence, Personal Assistant, Neural Network, Speech Recognition, Hidden Markov Model},
        month = {},
        }