EcoGen: Generative Landscape Design

EcoGen is an AI-driven application planned to revolutionize generative scene plan by coordination Google’s Generative AI API and leveraging the Gemini AI suite. It permits clients to characterize key parameters such as landscape highlights, plant species, and climate conditions, producing environmentally adjusted and outwardly compelling 3D scene models. At its center, EcoGen utilizes Generative Antagonistic Systems (GANs) to make feasible and versatile plan arrangements. Built with Python and Streamlit, the stage guarantees an instinctive, intuitively encounter custom-made for scene planners, urban organizers, and natural architects looking for inventive and feasible approaches to urban and common spaces.

Authors

Institutions

Publication Details

Journal
International Journal of Advanced Research in Science Communication and Technology
Published
2025-04-14
DOI
https://doi.org/10.48175/ijarsct-25204
Primary Topic
Architecture and Computational Design
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

EcoGen: Generative Landscape Design

Sushilkumar A. Jadhav, Abhishek Shirke, Ruchik Patel, Prof. Pallavi Chandratre
International Journal of Advanced Research in Science Communication and Technology
Architecture and Computational Design
article

EcoGen: Generative Landscape Design

Sushilkumar A. Jadhav, Abhishek Shirke, Ruchik Patel, Prof. Pallavi Chandratre
article en

Abstract

EcoGen is an AI-driven application planned to revolutionize generative scene plan by coordination Google’s Generative AI API and leveraging the Gemini AI suite. It permits clients to characterize key parameters such as landscape highlights, plant species, and climate conditions, producing environmentally adjusted and outwardly compelling 3D scene models. At its center, EcoGen utilizes Generative Antagonistic Systems (GANs) to make feasible and versatile plan arrangements. Built with Python and Streamlit, the stage guarantees an instinctive, intuitively encounter custom-made for scene planners, urban organizers, and natural architects looking for inventive and feasible approaches to urban and common spaces.

International Journal of Advanced Research in Science Communication and Technology
Shivaji University (IN)
Openalex Percentile: Top 92%
Architecture and Computational Design
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.