Real Estate Investment & Management System || VueJS | Quasar | Java

$50,000+

more 1 year

United States

6-9

Service categories

Service Lines

Web Development

Domain focus

Real Estate

Programming language

JavaScript

Frameworks

Node.js

Vue.js

Challenge

Handling custom events in Vue that are complex with time.
Managing backup of every change because the client is using FileZilla, and other developers can easily access the file you are currently working on.
Nested dynamic form creation for Create/Update operations while taking care of child association of the entities on the same form.
Unable to add 3rd-party package for UI or functionality that is available as an npm package directly in the project.
Unified implementation and deep level of unit testing because shared files were used for core features like grid, forms, headers, footers, search functionalities, and more.

Handling custom events in Vue that are complex with time.
Managing backup of every change because the client is using FileZilla, and other developers can easily access the file you are currently working on.
Nested dynamic form creation for Create/Update operations while taking care of child association of the entities on the same form.
Unable to add 3rd-party package for UI or functionality that is available as an npm package directly in the project.
Unified implementation and deep level of unit testing because shared files were used for core features like grid, forms, headers, footers, search functionalities, and more.

Re-designed the flow and triggering of custom events on the frontend, reduced event calling and usage by around 60%, reduced the API calls, and removed the complexity to scale up with new features easily.
Re-designed the complex dynamic filter into a flexible and scalable version that triggers on every change for around 10 components, compiles their data, and displays it in the form of graphs and charts.
We simplified the process and complexity on the Jira board and in the Git process for management to reduce conflicts.
Re-architected the analytical dashboard with all complex calculations; created a more unified and scalable dashboard with optimized query and API executions.
Provided an optimized global search feature that can scale whenever a new entity is introduced.
Wrote unified code to prevent unwanted code changes from reflecting in other projects using shared files.
Implemented an optimized and global notification system with a live ping notification feature.
Skills: ASP.NET · JavaScript · Node.js · Java · Vue.js · Quasar Framework · MySQL

Re-designed the flow and triggering of custom events on the frontend, reduced event calling and usage by around 60%, reduced the API calls, and removed the complexity to scale up with new features easily.
Re-designed the complex dynamic filter into a flexible and scalable version that triggers on every change for around 10 components, compiles their data, and displays it in the form of graphs and charts.
We simplified the process and complexity on the Jira board and in the Git process for management to reduce conflicts.
Re-architected the analytical dashboard with all complex calculations; created a more unified and scalable dashboard with optimized query and API executions.
Provided an optimized global search feature that can scale whenever a new entity is introduced.
Wrote unified code to prevent unwanted code changes from reflecting in other projects using shared files.
Implemented an optimized and global notification system with a live ping notification feature.
Skills: ASP.NET · JavaScript · Node.js · Java · Vue.js · Quasar Framework · MySQL

Reduced graphs and chart loading time from 10–20 seconds to less than 1 second.
Simplified the SQLs, which benefited the client with faster loading times on the frontend.
Quick new feature enhancements and scaling of existing features, as we suggested project management improvements and re-designed some of the complex features.
They are able to release new features on time.
Features are more stable and do not reflect changes in other projects.
Fast API responses and SQL executions, reducing overall response time to 300ms.
Custom file uploader with all validations, including doc/pdf export.
App deployment on different domains with quick releases.

Reduced graphs and chart loading time from 10–20 seconds to less than 1 second.
Simplified the SQLs, which benefited the client with faster loading times on the frontend.
Quick new feature enhancements and scaling of existing features, as we suggested project management improvements and re-designed some of the complex features.
They are able to release new features on time.
Features are more stable and do not reflect changes in other projects.
Fast API responses and SQL executions, reducing overall response time to 300ms.
Custom file uploader with all validations, including doc/pdf export.
App deployment on different domains with quick releases.