Creating a Real-Life JARVIS

  • Unique Paper ID: 189869
  • Volume: 12
  • Issue: 8
  • PageNo: 1989-1994
  • Abstract:
  • This project aims to develop a real-life JARVIS, an intelligent personal assistant that interacts with users through voice and other natural interfaces. The system uses facial recognition for secure user authentication, speech recognition to understand voice commands, and a rule-based chatbot to generate appropriate responses. It also includes call management and chat history features to enhance user interaction. The assistant is developed using Python, machine learning libraries, a Flask-based backend, and a web interface. By combining computer vision, natural language processing, and automation, the system can perform tasks such as opening applications, answering questions, making calls, and storing conversations. This project demonstrates the practical use of artificial intelligence to simplify daily tasks and provides a foundation for future improvements.

Copyright & License

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.

BibTeX

@article{189869,
        author = {Sinchana S and Saniya S J and Keerthana C and Ghanashree G H and Shreyan Jain},
        title = {Creating a Real-Life JARVIS},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {8},
        pages = {1989-1994},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=189869},
        abstract = {This project aims to develop a real-life JARVIS, an intelligent personal assistant that interacts with users through voice and other natural interfaces. The system uses facial recognition for secure user authentication, speech recognition to understand voice commands, and a rule-based chatbot to generate appropriate responses. It also includes call management and chat history features to enhance user interaction.
The assistant is developed using Python, machine learning libraries, a Flask-based backend, and a web interface. By combining computer vision, natural language processing, and automation, the system can perform tasks such as opening applications, answering questions, making calls, and storing conversations. This project demonstrates the practical use of artificial intelligence to simplify daily tasks and provides a foundation for future improvements.},
        keywords = {},
        month = {January},
        }

Cite This Article

S, S., & J, S. S., & C, K., & H, G. G., & Jain, S. (2026). Creating a Real-Life JARVIS. International Journal of Innovative Research in Technology (IJIRT), 12(8), 1989–1994.

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