ONLINE CRIME JUDGEMENT SYSTEM
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ONLINE CRIME JUDGEMENT SYSTEM
Dr.V.Shanmugapriya
Asst.prof., Department of Computer Science, Sri Krishna Arts and Science College, Coimbatore.
Email-shanmugapriyav@skasc.ac.in
Santhoshan.M.M
Student, Department of Computer Science, Sri Krishna Arts and Science College, Coimbatore.
Email-mmsanthoshan67@gmail.com
ABSTRACT
The rise of digital crimes has necessitated the development of online crime judgmental systems to ensure efficient, transparent, and timely justice. Traditional legal systems often struggle with delays, resource limitations, and complexities in handling cybercrimes, leading to a demand for technology-driven judicial solutions. Online crime judgmental systems integrate artificial intelligence (AI), blockchain, cloud computing, and digital forensics to streamline case proceedings, enhance evidence validation, and improve accessibility to justice.
This paper explores the role of AI in legal decision-making, virtual courtrooms, automated case management, and cybersecurity in digital trials. It analyze the benefits of reducing judicial backlogs, accelerating verdicts, and enabling cross-border legal cooperation in handling cybercrimes. However, the study also highlights critical challenges, including data privacy concerns, algorithmic bias, ethical dilemmas, and the need for regulatory frameworks to maintain judicial integrity.
The findings emphasize that while online crime judgmental systems offer significant advancements in criminal justice administration, their implementation requires a balanced approach that combines technology with human oversight. This research contributes to understanding how digital transformation can shape the future of law enforcement, crime investigation, and online dispute resolution, ensuring a more accessible and efficient justice system.
KEYWORDS:
Online Crime Judgment System , Cybercrime Justice ,Digital Legal System , AI in Criminal Justice , Virtual Court Proceedings Automated Crime Investigation, Blockchain for Legal Security Cyber Law and Digital Evidence, E-Judiciary and Online Courts, Artificial Intelligence in Law, Machine Learning in Legal Decision-Making, Online Dispute Resolution (ODR), Digital Forensics in Crime Judgment, Cloud-Based Crime Case Management, Cybersecurity in Online Crime Trials, Legal Tech for Criminal Justice, Judicial Automation and AI Ethics, Cross-Border Cybercrime Adjudication, Data Protection in Online Courts, Predictive Analytics in Criminal Law.
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