The objective of this project is to create a GIS-based platform that supports post-seismic reconstruction by integrating cloud-edge computing, data management, and indicator engineering. The platform will monitor reconstruction activities in real-time, track project progress, and facilitate communication between all stakeholders involved in the recovery process.
This project develops a comprehensive GIS platform integrating cloud-edge computing to support post-seismic reconstruction. The system focuses on monitoring the reconstruction process across 56 municipalities affected by the 2009 earthquake in Italy, ensuring real-time data accessibility, project tracking, and decision-making efficiency. The platform utilizes hybrid cloud-edge architecture to optimize data processing, enhance scalability, and improve transparency. Users can manage georeferenced data, track construction progress, and interact with multiple stakeholders using GIS, edge computing, and indicator engineering. The platform aims to assist post-seismic recovery efforts and can be adapted for similar applications in other regions or for future reconstruction projects.
Keywords: GIS, Cloud Computing, Edge Computing, Post-Seismic Reconstruction, Hybrid Architecture, Indicator Engineering, Real-Time Data, Decision Support.NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

HARDWARE REQUIREMENTS:
Β· Processor: Intel i3 or higher
Β· RAM: 4GB minimum
Β· Hard Disk: 160GB minimum
SOFTWARE SYSTEM CONFIGURATION:
Β· Operating System: Windows 7/8/10
Β· Frontend: ReactJS
Β· Backend: Spring Boot with java
Β· Database: MySQL
Β· IDE: IntelliJ IDEA & VS Code