Machine Learning-Driven Blockchain for Enhanced Transparency in Government Public Records

With more things done online, citizens have never wanted government data to be more available and dependable. This paper proposes a solution using blockchain and powerful algorithms. The recommended approach uses blockchain's immutability and safety, machine learning to discover outliers, and NLP to organize data. This coordinated strategy automates and opens government records to increase data quality, accessibility, and speed. Several tests and performance assessments compared the recommended solution to the traditional record-keeping method. Finding anomalies is faster using machine learning anomaly detection and natural language processing record sorting. This ensures data accuracy and clarity in real time. Spreading blockchain keeps documents secure and unchangeable. This makes changing difficult for those who shouldn't. The study found that the proposed strategy might improve public record management. It improves transparency, a crucial trait for responsible leadership, in a powerful, safe, and automated way using blockchain technology and cutting-edge algorithms.