ADVOMATE -When Justice Meets Technology

ADVOMATE -When Justice Meets Technology | Zenodo Skip to main Communities My dashboard Log in Sign up Zenodo is currently experiencing slowness and intermittent outages due to heavy automated traffic from bots and AI crawlers. We are aware of the problem, and our team is focused on stabilizing the service. Thank you for your patience. COMPUTER DOMAIN Published May 8, 2026 | Version v1 Journal article Open ADVOMATE -When Justice Meets Technology Authors/Creators Joshua Matrix I Kanagadurga D Kanagapriya D Kanchana S Mrs. Priyadharshini R Description Advomate – When Justice Meets Technology is an innovative web-based platform designed to simplify and enhance access to legal information and services through modern technology. The primary goal of this system is to bridge the gap between individuals and legal knowledge by providing a user-friendly interface where users can explore various domains of law such as criminal law, civil law, banking and finance law, family law, cyber law, and more.The application features a secure login system that ensures personalized access for users. Once authenticated, users are directed to a dashboard that serves as a centralized hub for navigating different legal categories. Each section provides structured information, helping users understand legal concepts, rights, and procedures in a simplified manner.Advomate is built using modern web technologies, with a responsive frontend developed using HTML, CSS, and JavaScript, and a robust backend powered by MongoDB for efficient data storage and management. The platform emphasizes accessibility, usability, and scalability, making it suitable for a wide range of users including students, legal professionals, and the general public.By integrating technology with legal awareness, Advomate aims to empower individuals with knowledge, promote legal literacy, and make justice more approachable and transparent in the digital age. Files ADVOMATE -HBRP Publication.pdf Files (331.4 kB) Name Size Download all ADVOMATE -HBRP Publication.pdf md5:01b3dd1c3a68cee8d93617be34a3e7e2 331.4 kB Preview Download Additional details References 1. D. Jurafsky and J. H. Martin, Speech and Language Processing, 2nd ed. Upper Saddle River, NJ, USA: Prentice Hall, 2008. 2. C. D. Manning and H. Schütze, Foundations of Statistical Natural Language Processing. Cambridge, MA, USA: MIT Press, 1999. 3. C. M. Bishop, Pattern Recognition and Machine Learning. New York, NY, USA: Springer, 2006. 4. A. Sharma et al., "Legal Text Classification Using Machine Learning and Deep Learning Techniques," Information Processing & Management, vol. 59, no. 2, 2022. 5. R. Bakker et al., "Semantic Role Extraction in Legal Documents Using Language Models," Artificial Intelligence and Law, Springer, 2025. 6. K. Mishra, H. Pagare, and K. Sharma, "Hybrid NLP and Machine Learning Approach for Legal Document Processing," Scientific Reports, 2025. 7. S. Verma et al., "Legal Document Summarization Using Classification and NLP Techniques," International Journal of Data Warehousing and Mining, 2025. 8. P. Gupta et al., "Transformer-Based Legal Named Entity Recognition (LegNER)," Frontiers in Artificial Intelligence, 2025. 9. M. Rao et al., "Recent Trends in Legal AI and NLP Applications," Proceedings of ICAISS Conference, IEEE, 2025. 10. "Proceedings of the Workshop on NLP for Empowering Justice (JUST-NLP)," ACL Anthology, 2025. 36 Views 27 Downloads Show more details All versions This version Views Total views 36 36 Downloads Total downloads 27 27 Data volume Total data volume 9.6 MB 9.6 MB More info on how stats are collected.... Versions External resources Indexed in OpenAIRE Communities Keywords and subjects Keywords Advomate, Legal Technology, Web Application, Legal Information System, MongoDB, User Authentication, Legal Awareness, Digital Justice, E-Governance, Online Legal Platform Criminal Law, Civil Law, Cyber Law, Family Law, Banking and Finance Law Details DOI DOI Badge DOI 10.5281/zenodo.20082481 Markdown [](https://doi.org/10.5281/zenodo.20082481) reStructuredText .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.20082481.svg :target: https://doi.org/10.5281/zenodo.20082481 HTML <a href="https://doi.org/10.5281/zenodo.20082481"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.20082481.svg" alt="DOI"></a> Image URL https://zenodo.org/badge/DOI/10.5281/zenodo.20082481.svg Target URL https://doi.org/10.5281/zenodo.20082481 Resource type Journal article Publisher Zenodo Published in Advanced Innovations in Computer Programming Languages, 8(3), 1-7, ISSN: 3048-7552, 2026. Languages English Rights License Creative Commons Attribution 4.0 International The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more Citation Export Technical metadata Created May 8, 2026 Modified May 8, 2026 Jump up About About Policies Infrastructure Principles Projects Roadmap Contact Blog Blog Support Help FAQ Developers REST API OAI-PMH Contribute GitHub Donate Funded by Powered by CERN Data Centre & InvenioRDM Status Privacy policy Cookie policy Terms of Use This site uses cookies. Find out more on how we use cookies Accept all cookies Accept only essential cookies

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