Published Paper Details:

The mining industry needs to regulate the safety of mining operations and the ecological aspects of sustainable mining with several laws in place, such as the Coal Mines Act of 1952, the Indian Explosives Act of 1884 and the Collier Regulations of 2017. However, stakeholders usually face a great deal of impediments in their access, comprehension, and implementation of these regulations due to their complexity and sheer volume. In line with this, the current project is aimed at suggesting the development of an AI-powered chatbot specialized in the interpretation of the mining policies. The chatbot that uses NLP (Natural Language Processing) techniques manages the situation by reading out the queries that are submitted by users and then they are matched to the corresponding information taken from the huge database of the law documents. Flutter will become the interface with the use of a user-centric design and responsiveness and on the other hand, for the back-end architecture, Firebase will be chosen for the reliable arrangement and scalability of the data. Python is chosen as the language of the chatbot's logic, which implies not only that the chatbot can be very precise and quickly responsive, but also that the chatbot can adapt to various regulatory frameworks. One of the main features of the chatbot is that it is qualified to deliver fast and right on target information to the users, to give round-minute-es a day service, and to decrease the amount of time and effort that is needed for manual searches. The system is designed in a way that it will cater to the diverse set of stakeholders, including mining enterprises, regulatory authorities, and lawyers. A user feedback mechanism is systematically integrated to perpetually enhance the chatbot's functionality and precision. The primary indications determined the rate of competence in the chatbot to retrieve the factual and relevant information, which was accompanied by a rather high level of user satisfaction. Such a system's performance is always underpinned by some set of parameters like the accuracy, precision, recall, and response time and to this end, we receive either better or worse numbers. The work in the future will revolve around the chatbot's smart implementation of other types of knowledge, regulatory ones for example, and the development of mobile applications for enhanced access. This project is a vying clarification of the potential turn-around of the AI and NLP to digitize the law without the conventional burdens of industry stakeholders. As a result, it brings a solution that is both scalable and efficient to the interest groups in the mining industry. The chatbot, by means of the automatic provision and interpretation of the legal documents, aims not only at the networking of compliance but also at the elimination of operational risks and the increase in the level of data quality.