Implementation on Web-Based Crime Management System Using Blockchain and Machine Learning

Authors: Vaishanvi Dokhe, Chaitanya Jadhav, Kundan Kapadnis, Kruhsna Kapkar, Jyoti Vadje

Country: India

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Abstract: The increasing complexity of judicial processes requires a secure and efficient digital solution for legal case management. This paper presents a web-based Crime Management System that integrates blockchain and machine learning technologies to improve transparency, security, and decision-making. The system enables police officers to manage cases and evidence securely using blockchain, ensuring data integrity and protection from tampering. Judges can access case details and receive AI-based decision support through machine learning analysis of historical data. Lawyers and stenographers can efficiently manage case progress, records, and schedules. The system also provides automated notifications for important updates and hearing dates. Developed with a user-friendly interface, backend processing, and database management, the proposed solution reduces manual workload, improves coordination, and offers a scalable platform for modern judicial management.

Keywords: Crime Management System, Blockchain Technology, Machine Learning, Digital Judicial System, Case Management, Evidence Security, Web-Based Application, Decision Support System, Data Integrity, Judicial Automation.

Paper Id: 233133

Published On: 2026-05-23

Published In: Volume 14, Issue 3, May-June 2026

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