Online Legal Literacy Platform

Kala, I and Hariharan, K and Kavisri, S and Kaviyarasu, D (2023) Online Legal Literacy Platform. In: 2023 International Conference on Intelligent Technologies for Sustainable Electric and Communications Systems (iTech SECOM), Coimbatore, India.

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Abstract

The Motor Vehicle Act is a complex legal framework that regulates various aspects of motor vehicle usage in India. However, many individuals lack knowledge and understanding of the Act, which can lead to unsafe driving practices, non-compliance with regulations, and legal violations. Furthermore, the Act is subject to frequent amendments, making it challenging for individuals to stay up to date on the latest regulations. To address these issues, this project proposes an Online Legal Information Platform for the Motor Vehicle Act. The platform utilizes advanced technologies such as BERT fine-tuning and natural language processing techniques to match user input scenarios with relevant sections of the Act. Users can input their scenarios and the platform suggests the ideal law that can be utilized in the given situation. The system displays matching laws with their title and description and generates a summary for the selected law to facilitate easy comprehension. Additionally, voice-to-text feature is incorporated in order to assist people with visual impairments. The platform aims to bridge the gap between legal language and everyday usage, promoting better compliance with road safety laws. The system will be user-friendly and accessible to individuals with limited legal knowledge, making it easier for them to navigate the legal system. Future work includes expanding the platform to include other regional languages as well to increase its availability to people all around the nation.

Item Type: Conference or Workshop Item (Paper)
Subjects: C Computer Science and Engineering > Machine Learning
Divisions: Computer Science and Engineering
Depositing User: Users 5 not found.
Date Deposited: 29 Apr 2024 10:50
Last Modified: 29 Apr 2024 10:50
URI: https://ir.psgitech.ac.in/id/eprint/466

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