IoT with Blockchain Enabled Machine Learning Models for Financial Management and Budgeting

This article proposes a novel Blockchain-Enabled Machine Learning (ML) Model for improving financial management, prediction, cost optimization, and budgeting. The integration of Blockchain technology with Machine Learning offers a highly secure and transparent framework that enhances financial decision-making. Through the use of real-time data from IoT devices, secure transaction management via Blockchain, and predictive analytics through ML models, the proposed system offers a comprehensive solution to optimize spending, forecast financial trends, and automate budgeting tasks. The potential benefits of this approach are significant, ranging from enhanced security and accuracy in financial predictions to cost reduction and improved budgeting practices. This paper discusses the methodology behind this model, its components, and its expected impact on the finance sector.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-27
DOI
https://doi.org/10.5281/zenodo.14801453
Primary Topic
Arsenic contamination and mitigation
Type
article
Field-Weighted Citation Impact
0.00
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article

IoT with Blockchain Enabled Machine Learning Models for Financial Management and Budgeting

Zenodo (CERN European Organization for Nuclear Research)
Arsenic contamination and mitigation
article

IoT with Blockchain Enabled Machine Learning Models for Financial Management and Budgeting

article en

Abstract

This article proposes a novel Blockchain-Enabled Machine Learning (ML) Model for improving financial management, prediction, cost optimization, and budgeting. The integration of Blockchain technology with Machine Learning offers a highly secure and transparent framework that enhances financial decision-making. Through the use of real-time data from IoT devices, secure transaction management via Blockchain, and predictive analytics through ML models, the proposed system offers a comprehensive solution to optimize spending, forecast financial trends, and automate budgeting tasks. The potential benefits of this approach are significant, ranging from enhanced security and accuracy in financial predictions to cost reduction and improved budgeting practices. This paper discusses the methodology behind this model, its components, and its expected impact on the finance sector.

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Openalex Percentile: Top 62%
Arsenic contamination and mitigation
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