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Digital Legal Aid Assistant For Marginalized Communities in India

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International Research Journal of Engineering and Technology (IRJET)

e-ISSN: 2395-0056

Volume: 11 Issue: 04 | Apr 2024

p-ISSN: 2395-0072

www.irjet.net

Digital Legal Aid Assistant For Marginalized Communities in India Mrs. Hilda Kanaga V1, Aishwarya B2, Ashika T3, Sandhiya R4, Synthavi R A5 1 Assistant Professor ,Department of Information Technology, Meenakshi Collegeof Engineering ,

K K Nagar , Chennai.

2,3,4,5 UG Student , Department of Information and Technology , Meenakshi Collegeof Engineering ,

K K Nagar , Chennai. ---------------------------------------------------------------------***---------------------------------------------------------------------

Abstract - Marginalized communities often face barriers

and offering multi-language support, these chatbots can further enhance accessibility and cater to the diverse needs of marginalized communities.

in accessing legal assistance due to various factors including language barriers, lack of resources, and limited accessibility to legal services. In this paper, we propose the design and development of a comprehensive legal chatbot tailored to address the needs of marginalized communities. Our chatbot incorporates voice recognition capabilities and language selection features to enhance accessibility for users with diverse linguistic backgrounds. Drawing upon advances in natural language processing (NLP) and machine learning, we outline the architecture, functionalities, and ethical considerations of the chatbot. Additionally, we discuss the importance of community engagement and user-centered design in ensuring the effectiveness and inclusivity of the chatbot. Through the integration of voice recognition, language selection, and a user-centric approach, this paper aims to empower marginalized communities by providing them with accessible and reliable legal assistance.

In this paper, we present the concept of a chatbot application designed specifically for marginalized communities, aiming to bridge the gap in legal access. The chatbot will serve as a virtual legal assistant, offering information on various legal topics, guiding users through legal processes, and connecting them with relevant resources and services. Through a userfriendly interface and intuitive interaction, the chatbot seeks to empower individuals to navigate the legal system more effectively and assert their rights. Following are the AI and Machine learning techniques that are used for building a legal assistant.

Key Words: Artificial Intelligence (AI), Machine Learning, Courts of India, Lawyers, IPC, Legal, Judgements, TF-IDF Algorithm, SVM Algorithm , Random Forest etc.

Support Vector Machine

Random Forest.

One of the critical components of this project is its emphasis on language selection. India is a linguistically diverse country, with numerous regional languages spoken across its vast landscape. By offering virtual lawyer consultations and centralizing legal resources, it reduces barriers to legal representation.

1.2 PROBLEM STATEMENT

One promising approach is the development of chatbot applications that provide legal information and assistance in a user-friendly and accessible manner.

Financial obstacles prevent marginalized communities from accessing legal representation. To empower them in advocating for systemic reforms, structural biases within the legal system must be addressed. Leveraging technology to disseminate legal information can bridge gaps for those with limited access. Language barriers hinder communication, presenting challenges for clients and legal professionals alike.

Chatbots, powered by artificial intelligence (AI) and TF-IDF ,Support Vector Machine,Random Forest technologies, have the potential to interact with users conversationally, understand their queries, and provide relevant information and guidance. By integrating voice recognition technology

Impact Factor value: 8.226

The motivation of this research is to empower marginalized communities in India by providing accessible legal aid. With language selection and categorized chatbot support for civil, immigration, LGBTQ, and socio-economic issues, the project ensures equitable access to justice.

In many parts of the world, marginalized communities face significant challenges in accessing legal assistance and understanding their rights. Language barriers, financial constraints, and geographical limitations often exacerbate these difficulties, leading to a lack of access to justice. As technology continues to advance, there is a growing opportunity to barriers and improve legal access for marginalized populations.

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TF-IDF

1.1 MOTIVATION

1. INTRODUCTION

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