EndorsedendorsedCompleted

Mobile Reporting App & Legal-Procedure Management Web System

Services Covered:

Mobile Application Development • Web Application Development
Project hero — replace with case study imagery
Industry
Industry

Non-profit Organizations

Duration
Duration

61 months

Budget
Budget

10K - 49K

Start Date
Start Date

1 January 2015

Team Size
Team Size

1-5

Engagement Model
Engagement Model

Nearshore

Project Capability Score (PCS)

gauge meter
71/100
Good

Project Capability Score (PCS) estimates how capable WillDom is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS


Client

Centro de Desarrollo Sostenible

map Paraguay

Project Summary

WillDom completed two development projects for a sustainability firm: a citizen-facing iOS/Android app to report street repairs and a web-based legal procedure management system for public procurement. The web system included a Java backend, PostgreSQL database and a machine-learning module for anomaly detection. The client reported on-time delivery, strong technical skills, effective communication and weekly in-person planning using Redmine and Jira.

Key Challenges

  • We needed help with development.

Project Deliverables

  • iOS and Android mobile application for reporting street repairs
  • Web-based legal procedure management system for public procurement
  • Machine learning anomaly detection module for procurement data
  • Integration with the National Directorate of Public Procurement main web software

Project Solution

WillDom developed two products: a citizen-facing mobile application (iOS and Android) that allowed users to photograph and report road damage to the responsible municipality, and a larger web application for the National Directorate of Public Procurement to manage legal procedures across the procurement process. The web solution was built with Angular.js, HTML and CSS on the frontend, a Java backend and PostgreSQL for data storage, and included a machine-learning module for anomaly detection and data analysis. The product was integrated with the Directorate’s main procurement web software and used for several years.

Project Outcome

  • Projects were very successful and met expectations.
  • On-time delivery and strong project management with weekly in-person planning using Redmine and Jira.
  • High technical skill and adaptability; client would recommend.

Platforms

  • MobileMobile
  • WebWeb

Tech Stack

  • AngularJSAngularJS
  • HTMLHTML
  • CSSCSS
  • JavaJava
  • PostgreSQLPostgreSQL

Client Endorsement

Overall Review Rating

4.75star5 out of 5 stars

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“The projects were successful, and the client was pleased with WillDom’s professionalism. The team stood out for their great technical skills and knowledge about new technologies. They communicated effectively, adapted constantly, and were prompt with deliveries. They used Redmine and Jira as tools.”

Anonymous

Executive Director

Note: This endorsement is based on publicly available client feedback from external review sources.

More Projects by WillDom