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
- Daniel Ward, The Psychology of Defensive Cyber Deception Technology Adoption Across IT and OT Environments , International Journal of Science and Social Science Research: Vol. 4 No. 2: July-September 2026
- Satyadhar Joshi, Review of Artificial Intelligence in Management, Leadership, Decision-Making and Collaboration , International Journal of Science and Social Science Research: Vol. 3 No. 1: April-June 2025
- Ms. C. Anitha, Challenges in English Language Teachings: Indian outlook , International Journal of Science and Social Science Research: Vol. 2 No. 3: October-December 2024
- Sachin Kumar, From Imagination to Automation: How AI is Reshaping Students Creativity in the Digital Age , International Journal of Science and Social Science Research: Vol. 3 No. 4: January-March 2026
- Munmi Gogoi, Bikash Deka, Traditional Food Culture of the Mising Community in Assam: A Study , International Journal of Science and Social Science Research: Vol. 4 No. 1: April-June 2026
- Harshit Aren, Ambuj Singh, Joney Kumar, Credit Card Application Management System , International Journal of Science and Social Science Research: Vol. 2 No. 4: January-March 2025
- Angelie Lanticse, A Structural Equation Model on Employee Performance in Relation to Work Environment, Communication and Positive Personality Traits: Evidence in National Government Agencies , International Journal of Science and Social Science Research: Vol. 4 No. 2: July-September 2026
- Pavan Kumar, Azizur Rahman Siddiqui, Impact of Growth and Development of Built-Up Area on Land Surface Temperature and Vegetation Cover , International Journal of Science and Social Science Research: Vol. 4 No. 1: April-June 2026
- Judit Katalin Fejes, Etelka Éva Katits, CityMindX:AI-Based Mobility and Infrastructure Optimisation in Smart Cities , International Journal of Science and Social Science Research: Vol. 3 No. 3: October-December 2025
- Mobi M. Das, Amita Dhawan, The Weight of Unspoken Pain: A Comparative Analysis of Trauma in The Remains of The Day and When We Were Orphans , International Journal of Science and Social Science Research: Vol. 2 No. 2: July-September 2024
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
