Prediction of Future Scope of Startup Using Artificial Intelligence

Authors

  • Pankaj Kumar Srivastava Assistant Professor, Department of Computer Science and Engineering, Ashoka Institute of Technology and Management, Varanasi
  • Arvind Kumar Assistant Professor, Department of Computer Science and Engineering Ashoka Institute of Technology and Management, Varanasi
  • Abhay Kumar Maurya Assistant Professor, Department of Computer Science and Engineering Ashoka Institute of Technology and Management, Varanasi
  • Sandeep Kumar Singh Assistant Professor, Department of Computer Science and Engineering Ashoka Institute of Technology and Management, Varanasi
  • Anjali Yadav Assistant Professor, Department of Computer Science and Engineering Ashoka Institute of Technology and Management, Varanasi

DOI:

https://doi.org/10.69968/ijisem.2025v3si2376-378

Keywords:

Artificial Intelligence, Data Mining, Deep learning, Clustering & Classification

Abstract

This paper explores the role of Artificial Intelligence and its efficiency in startup ecosystem. It includes different artificial intelligence tools and mechanism to reduces the risk and challenges of any startup. through the literature review we study how a startup faces different kind of problems for surviving so for that we mentioned in this paper various kind of methodology which predicts future scope of startup and it also shows the feasibility of startup as well as reduces the cost of startup.

References

[1] The Business of AI Startups by James Bessen, Stephen Michael Impink, Robert Seamans.

[2] Artificial Intelligence and Automation for the Future of Startups by Richmond Anane-Simon, Sulaiman Olusegun Atiku.

[3] Edge AI AND IOT: An Introduction and Implementation by Max Braun.

[4] Machine Learning for Edge Computing by Amitoj Singh, Vinay Kukreja, and Taghi javdani Gandomani.

[5] Edge Computing: A Complete reference guide by George Tsarmpopoulos.

[6] Data Mining Algorithms - 13 Algorithms Used in Data Mining - Data Flair.

[7] Data Mining - Concepts and Techniques (3rd Ed).

[8] Hardesty L (14 April 2017). "Explained: Neural networks". MIT News Office. Archived from the original on 18 March 2024. Retrieved 2 June 2022.

[9] Ferrie, C., Kaiser, S. (2019). Neural Networks for Babies. Sourcebooks. ISBN 978-1-4926-7120-6.

[10] Haykin (2008) Neural Networks and Learning Machines, 3rd edition

Downloads

Published

09-01-2025

Issue

Vol 3 Special Issue 2

Section

Articles

License

Copyright (c) 2025 Pankaj Kumar Srivastava, Arvind Kumar, Abhay Kumar Maurya, Sandeep Kumar Singh, Anjali Yadav

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Re-users must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. This license allows for redistribution, commercial and non-commercial, as long as the original work is properly credited.

How to Cite

[1]
Pankaj Kumar Srivastava et al. 2025. Prediction of Future Scope of Startup Using Artificial Intelligence. International Journal of Innovations in Science, Engineering And Management. 3, 2 (Jan. 2025), 376–378. DOI:https://doi.org/10.69968/ijisem.2025v3si2376-378.
Crossref
Scopus
Google Scholar
Europe PMC