AI Based Chatbot for Collating and Dissemination of Information on Groundwater
Authors:-Salandhri Shivani Yadav, Pantham Tharun Kumar
Abstract-This project’s objective is to develop an AI-based chatbot that can collect and deliver comprehensive groundwater information to users, including government officials, researchers, farmers, and the general public. In addition to being necessary for domestic, commercial, and agricultural operations, groundwater is also necessary for sustaining life. Despite its importance, obtaining groundwater-related data remains challenging and scattered, especially for non-technical users. This work presents the development of an AI-based chatbot system that simplifies the dissemination of groundwater information using an interactive, natural language interface. Users may get location-specific information about hydrogeological conditions, water quality indicators, water level scenarios, and available technical reports through the chatbot, which was created with a Flask-based backend and a React frontend. By utilizing fuzzy string matching and structured JSON data to handle imprecise searches, the system enhances accessibility and usability. It also makes it easier to create comprehensive groundwater extraction regulations, report downloads, and summaries. By offering a faster and more convenient method of obtaining data than is currently feasible, the chatbot aims to bridge the knowledge gap between users and publicly available groundwater data. Preliminary testing shows that the system is accurate, responsive, and reliable, indicating that it has a lot of potential for usage in administrative and instructional settings pertaining to water resource management.
