International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | AI Assistant for Groundwater Insights |
|---|---|
| ABSTRACT | Groundwater data is vital for managing water resources, but existing tools like INGRES have complex interfaces that are difficult for non-technical users to navigate. INGREX is an AI-powered assistant designed to simplify access to groundwater data by allowing users to interact using natural language queries. It fetches data from the INGRES database and presents clear visual insights, making groundwater information accessible and user-friendly for students, farmers, and general users. |
| AUTHOR | VIDHIKA THAKRE, SUMIT SONI, PROF. AKANKSHA MESHRAM B. Tech Student, Department of Computer Science and Engineering (Artificial Intelligence and Machine Learning), Oriental Institute of Science and Technology, Bhopal, India Department of Computer Science and Engineering (Artificial Intelligence and Machine Learning), Oriental Institute of Science and Technology, Bhopal, India |
| VOLUME | 180 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1401017 |
| pdf/17_AI Assistant for Groundwater Insights.pdf | |
| KEYWORDS | |
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