• Madhava Rao Kunchala

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.

Blockchain Technology, Machine Learning, Financial Management, Cost Optimization, Budgeting, Predictive Analytics, IoT (Internet of Things), Smart Contracts, Data Normalization, Real-time Data Processing

"IoT with Blockchain Enabled Machine Learning Models for Financial Management and Budgeting", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 12, page no.f655-f660, December-2024, Available :http://www.jetir.org/papers/JETIR2412573.pdf

"IoT with Blockchain Enabled Machine Learning Models for Financial Management and Budgeting", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 12, page no. ppf655-f660, December-2024, Available at : http://www.jetir.org/papers/JETIR2412573.pdf