Crime Management System: Powered by Blockchain and Machine Learning for Enhanced Judicial Transparency and Decision Support

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

Country: India

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Abstract: This project creates a secure and intelligent digital judicial system that streamlines the management of legal cases using blockchain and machine learning. The system is designed to support multiple users including judges, police stations, stenographers, and lawyers, each with specific features tailored to their role. Judges can view case information, provide access to stenographers, and use a machine learning module for second opinions based on historical case data to assist in decision-making. Police stations can create cases, add evidence, and ensure that all case data is securely stored on a blockchain, providing transparency and immutability. Stenographers, after receiving case allocations from judges, can access all relevant case information, update case details, and add new evidence, with all changes recorded on the blockchain. The system also automatically notifies the involved parties via email about case updates, hearing dates, and timings. Lawyers can track the number of cases they are handling, view case results, check upcoming court dates, and manage their daily schedule, showing pending and completed cases efficiently. Additionally, the system provides multi-language support, making it accessible to a wider audience and ensuring ease of use for all participants. This integrated approach aims to make the judicial process faster, more transparent, and more efficient.

Keywords: Blockchain, Machine Learning, Judicial System, Case Management

Paper Id: 232930

Published On: 2026-02-05

Published In: Volume 14, Issue 1, January-February 2026

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