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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM56261

Cloud AI-Powered Predictive Analysis of Economy

Stream/Area:

-

Subject:

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Paper ID:

IJSREM56261

Volume:

10 |

1 |

Jan 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

PRS

Pranali Rupesh Shinde

PAD

Prof. Ankush Dhamal

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Abstract

Artificial Intelligence (AI) and cloud computing together are transforming economic analysis by enabling large-scale, real-time, and adaptive prediction models. Traditional economic forecasting methods often fail to capture complex, nonlinear relationships and rapidly changing market conditions. This research proposes an AI- powered predictive economics framework deployed on cloud infrastructure to analyse massive economic datasets and generate accurate forecasts for policy and business decision-making. The study highlights model design, cloud integration, ethical considerations, and future potential. The proposed framework demonstrates how scalable cloud platforms combined with machine learning techniques can improve forecasting accuracy, responsiveness, and inclusivity while emphasizing responsible and transparent AI usage.

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Cite This Article

Pranali Rupesh Shinde, Prof. Ankush Dhamal, "Cloud AI-Powered Predictive Analysis of Economy," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 1, Jan 2026.

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Publication Date

1/30/2026

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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