Real Estate Viewer

Inspiration

A Huge dataset of real estate was given.

What it does

It displays the data in a map format and users will be able to save the ones they like.

How we built it

Angular 13, Mapbox.js, Node.js, Java, CockcroachDB

Challenges we ran into

Dataset is not the very complete First time using node.js to build backend api.

Accomplishments that we're proud of

Able to visualized the map and also implement authentication with JWT token, but refreshing token and saving the token to have a valid session is still not done.

What we learned

node js api creation is so much easier than Spring Boot, but it's not as robust as the Spring Boot framework. A lot of the work is done with the framework in Spring Boot while node.js is more lightweight.

What's next for Real Estate Viewer

Adding filter functions to the viewer, and perhaps adding CDN server for storing the pictures. Complete login function with JWT sessions. Complete "like" and "share" functions.

Built With

• angular.js
• cockcroachdb
• mapbox
• node.js