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AI-assisted voice enabled computing framework for hydrological analysis

delete2025-12-18
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PRE
AI
C
Carlos Erazo Ramirez *
İ
İbrahim Demir
DOI:10.1016/j.envsoft.2025.106833delete
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Abstract

Abstract

En 中文
• We present a no-code, web-based platform for AI-assisted hydrological analysis. • Users interact through voice or text with a conversational AI assistant. • The platform integrates real-time hydrological data from federal sources. • It supports reproducible, multi-step workflows with session memory. • The tool lowers barriers for research, education, and decision-making.

Journal

E
Environmental Modelling and Software
IF:
4.6
Papers:
511
Citations:
1.8W

Organization

T
tulane university
Scholars:
1.3W
Papers: 1.0W
Citations: 9
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