BLOCKCHAIN APPLICATIONS IN BANGLADESH: INTEGRATING AI AND ML FOR ENHANCED SECURITY AND EFFICIENCY

Abstract

Blockchain technology promises to transform data integrity and transparency across industries. This paper examines how blockchain can be applied in four major sectors of Bangladesh – healthcare, finance, electronic voting, and pensions – to address longstanding challenges. We rewrite and enhance prior analyses with real-world data from Bangladesh and South Asia, and propose technical architectures tailored to each sector. We also explore how AI/ML techniques (for fraud detection, trust scoring, anomaly detection, etc.) can integrate with blockchain networks to further bolster security and trust. Each sector’s section presents a system architecture diagram and discusses implementation considerations. We include performance metrics (e.g. consensus throughput) and adoption trends using actual data, presented via graphs and tables for clarity. The paper provides a comprehensive and up-to-date blueprint for adopting blockchain in Bangladesh’s public and private sectors.