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IoT 24(1):

Research Article

Artificial Intelligence-based Legal Application for Resolving Issues Related to Live-In Relationship

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  • @ARTICLE{10.4108/eetiot.5485,
        author={Pallavi Gusain and Poonam Rawat and Minakshi Memoria and Tanupriya Choudhury and Ayan Sar},
        title={Artificial Intelligence-based Legal Application for Resolving Issues Related to Live-In Relationship},
        journal={EAI Endorsed Transactions on Internet of Things},
        volume={10},
        number={1},
        publisher={EAI},
        journal_a={IOT},
        year={2024},
        month={3},
        keywords={Live-in relationship, Marriage, Cohabitation, Artificial Intelligence, Automatic Speech Recognition, Machine Learning},
        doi={10.4108/eetiot.5485}
    }
    
  • Pallavi Gusain
    Poonam Rawat
    Minakshi Memoria
    Tanupriya Choudhury
    Ayan Sar
    Year: 2024
    Artificial Intelligence-based Legal Application for Resolving Issues Related to Live-In Relationship
    IOT
    EAI
    DOI: 10.4108/eetiot.5485
Pallavi Gusain1,*, Poonam Rawat1, Minakshi Memoria1, Tanupriya Choudhury2, Ayan Sar3
  • 1: Uttaranchal University
  • 2: Graphic Era University
  • 3: University of Petroleum and Energy Studies
*Contact email: pallavigusain24@gmail.com

Abstract

INTRODUCTION: The societal landscape in India has witnessed a very transformative shift in the perspectives on relationships, with an increasing prevalence of live-in couples challenging the traditional norms of marriage. However, this ongoing trend has brought about a huge surge in legal complexities, including recognition, partner rights, property disputes, and inheritance issues. This study proposed an innovative approach that leveraged the potential of Artificial Intelligence and Automatic speech recognition for the registration and redressal of live-in relationship matters. OBJECTIVES: This research explores and seeks for the optimization of the resolution of live-in relationship disputes which occurs in the legal perspective with the help of an AI-based platform. The primary goal of this research was to overcome the physical barriers while ensuring the correct accessibility to legal procedures for the registration and addressing of the grievances related to live-in relationships. METHODS: Here, the methodology followed, starting from the thorough review which was conducted using different resources from Scopus, PubMed, and ResearchGate. This research explored the increasing complaints and varying victim counts in live-in relationship cases. This finally attributed to these issues to a lack of physical access to legal remedies. RESULTS: This study also emphasized the major significance of AI-driven redressal processes in the real-time alleviation of the hurdles and challenges associated with live-in relationship cases. The proposed framework and platform aimed to offer an alternative means for the individuals who were unable to physically approach the authorities, facilitating a more efficient and seamless way of legal resolution more quickly. CONCLUSION: This study advocates for the integration of AI and AST technologies in the legal domain, specifically for addressing live-in relationship issues. The implementation of such a system had the potential to bridge gaps in its accessibility, thereby contributing to a more inclusive and efficient legal framework for individuals who are passionately involved in live-in relationships.

Keywords
Live-in relationship, Marriage, Cohabitation, Artificial Intelligence, Automatic Speech Recognition, Machine Learning
Received
2023-12-17
Accepted
2024-03-15
Published
2024-03-20
Publisher
EAI
http://dx.doi.org/10.4108/eetiot.5485

Copyright © 2024 P. Gusain et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.

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