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International Journal of Science, Strategic Management and Technology

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ARTIFICIAL INTELLIGENCE IN MOBILE APPLICATION DEVELOPMENT A REVIEW PAPER

AUTHORS:
SUNIL NAIK
Mentor
Affiliation
Master of Computer Applications from VTU Belgaum, Karnataka, India
DOI: 10.55041/ijsmt.v2i5.255
CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Abstract

Artificial Intelligence (AI) has become one of the most important technologies in modern mobile application development. AI enables mobile applications to perform intelligent tasks such as speech recognition, image processing, recommendation systems, predictive analysis, and personalized user experiences. The integration of AI with mobile applications has transformed industries including healthcare, education,

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Article Information
PUBLICATION DETAILS
Review Type:
Double-Blind Peer Review
License:
CC BY-NC 4.0
Volume/Issue:
Volume 02, Issue 05
Review Rounds:
2
Article Type:
Research Article
Publication Date:
May 15 2026
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NAIK, S. (2026). Artificial Intelligence in Mobile Application Development a Review Paper. International Journal of Science, Strategic Management and Technology, 02(05). https://doi.org/10.55041/ijsmt.v2i5.255

NAIK, SUNIL. "Artificial Intelligence in Mobile Application Development a Review Paper." International Journal of Science, Strategic Management and Technology, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i5.255.

NAIK, SUNIL. "Artificial Intelligence in Mobile Application Development a Review Paper." International Journal of Science, Strategic Management and Technology 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i5.255.

References
1.Russell, S., and Norvig, P., Artificial Intelligence: A Modern Approach.

2.TensorFlow Lite Documentation.

3.Android Developers Documentation.

4.Goodfellow, I., Deep Learning.

5.IEEE Research Papers on AI Mobile Applications.

6.ACM Digital Library Articles on Mobile AI Systems.

7.Google Firebase ML Kit Documentation.

8.OpenCV Documentation.

9.Research articles on AI in healthcare and agriculture applications.

10.Journal of Mobile Computing and Artificial Intelligence.
Ethics and Compliance
✓ All ethical standards met
This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
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