Chatbot That Can Differentiate Between Domestic Violence and Land Grabbing
DOI:
https://doi.org/10.63671/ijsssr.v3i1.367Keywords:
Machine Learning, Sentiment Analysis, Natural Language Processing (NLP), Text Classification, Deep LearningAbstract
This project creates a chatbot prototype designed to assist users in identifying and addressing two serious societal issues: domestic violence and land grabbing. The chatbot engages users in a conversational manner, first asking clarifying questions to determine whether their concern relates to personal safety or property disputes. Based on the user’s responses, the chatbot classifies the issue and provides targeted information, resources, and next steps. For cases of domestic violence, the chatbot offers support by sharing information about helplines, shelters, and legal aid services that can help individuals escape abusive situations. It may also provide safety tips and legal guidance, ensuring that users are informed about their rights and available support options. In the case of land grabbing, the chatbot explains the concept of illegal land acquisition and provides resources related to property rights and dispute resolution. It can also direct users to relevant legal aid organizations and advocacy groups that specialize in property-related issues. The chatbot not only informs but also offers users the option to report incidents to the appropriate authorities or organizations, guiding them through the necessary steps. After assisting the user, it encourages feedback to improve the chatbot’s future interactions. Designed with user support and accessibility in mind, this system aims to offer immediate, relevant assistance in navigating complex and often urgent situations, providing a valuable resource for those in need of help with either domestic violence or land disputes. By focusing on these critical issues, the project seeks to empower users with the information and tools needed to take action and seek support when facing difficult circumstances.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 International Journal of Science and Social Science Research

This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
Similar Articles
- Muniisvaran Kumar, Franklin Thambi Jose. S, Kartheges Ponniah, Learning Tools for Tamil as a Foreign Language , International Journal of Science and Social Science Research: Vol. 4 No. 2: July-September 2026
- Gaurav Dhiman, Harnessing Machine Learning and AI for Sustainable Development: Applications in Supply Chains, Cybersecurity, Climate Forecasting, and Economic Impact Analysis , International Journal of Science and Social Science Research: Vol. 2 No. 4: January-March 2025
- Arvind Kumar, Situ Kumari, Blended Learning and Educational Equity: A Thematic Analysis on Tribal and Gender-Inclusive Education , International Journal of Science and Social Science Research: Vol. 3 No. 1: April-June 2025
- Rishi Saxena, Optimizing Data Collection and Management Techniques for Machine Learning Applications in Psychiatry: A Comprehensive Approach to Predicting Autism Spectrum Disorder (ASD) Through Multimodal Data Integration , International Journal of Science and Social Science Research: Vol. 2 No. 3: October-December 2024
- Dr. Asaikkannu Sakthivel, Dr. Kartheges Ponniah, Dr. Aayushi Sharma, Dr. Franklin Thambi Jose Selistus Darling, Lexical Identity and Linguistic Resilience of South Indian Malayali Tribes , International Journal of Science and Social Science Research: Vol. 4 No. 3: October-December 2026
- Shuyi Song, Chatchai Khiewngamdee, Chonrada Nunti, Natural Disasters, Public Debt, and Fiscal Vulnerability: Evidence from Emerging and Developing Economies , International Journal of Science and Social Science Research: Vol. 3 No. 4: January-March 2026
- Anant Kumar Tripathi, Azizur Rahman Siddiqui, Trends, Dynamics and Implications of Green House Gases Emissions in India (1951-2022): An Overview , International Journal of Science and Social Science Research: Vol. 4 No. 1: April-June 2026
- Dr. Bhaskar G.L., Performance of Developmental and Non-Developmental Expenditure on Agriculture Sector in Karnataka: A Trend Analysis , International Journal of Science and Social Science Research: Vol. 4 No. 2: July-September 2026
- Ranjita Marak, Sandhya Tiwari, Gender Representation in NCERT English Language Textbooks at the Middle School Level , International Journal of Science and Social Science Research: Vol. 3 No. 1: April-June 2025
- Ranjita Marak, Deepa Mehta, Standard vs. Native: The Linguistic Dilemma of First-Generation Tribal Learners in West Bengal , International Journal of Science and Social Science Research: Vol. 3 No. 1: April-June 2025
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- Nishant Rohila, B. Santosh Kumar Achary, Arthav Kumar, Sidhant, Rohit Aggarwal, Chatbot for Identifying Cases of Domestic Violence and Land Grabbing , International Journal of Science and Social Science Research: Vol. 3 No. 1: April-June 2025
