Shrcse
Property Administration Systems
Full-Stack
Next.js
NestJS
Python
Computer Vision
A comprehensive full-stack application designed to streamline property management. It features automated siteplan image detection using Python, seamlessly mapped as interactive data within a modern Next.js and NestJS ecosystem.
Introduction
"The Property Administration Systems is a cutting-edge platform designed to revolutionize how property data and site plans are managed. By combining a robust Next.js frontend with a scalable NestJS backend, and integrating Python scripts for automatic siteplan image detection, this project automates data mapping and provides property managers with a highly intuitive, dynamic, and efficient tool to oversee their assets."
Key components and technologies that power the Property Administration Systems.
A centralized hub built with Next.js to monitor property statuses, manage tenants, and view the digitized siteplans in an interactive, responsive UI.
Tech Stack
What I Learned
"Crafting this dashboard pushed my frontend skills to the limit. I had to ensure the interactive siteplan was highly performant, responsive across devices, and seamlessly integrated with the real-time property database."

Technology
Leveraged for the frontend to create a highly responsive, server-rendered dashboard with optimal performance and seamless user experience.
Used to build the scalable and highly modular backend architecture, providing robust API endpoints and managing complex business logic.
Implemented for complex image processing and computer vision tasks, specifically to detect and map siteplans accurately.
Chosen for the database to ensure strong relational data integrity for property and tenant information.
Outcome

