We designed HiredHelpr using modern technologies to provide a rich user experience with various features such as image recognition using high-level artificial intelligence and machine learning capabilities for the purpose of verification. This strategy has transformed the overall process of manual approval to an automated structure which, ultimately, makes the operation flow more efficiently and effectively and saves both time and money.
Scope of Work
- Enterprise Web Application
- iOS & Android Mobile Apps UI – UX Design
- Offline / Low-Bandwidth Functionality
- Time Sensitive Payment and & Processing
- Image Analysis & Recognition
Process Automation through Intelligent Design
Creating an Automated End-to-End System
The HiredHelpr app was launched in July of 2020.. It consists of over 400 mobile screens and has listed over 200 service professional pool cleaners and over 1,000 enterprise properties to date.
HiredHelper is accessible and available via its web and mobile applications. The mobile app is available in both Apple Store and Google Play
Agile Building Process
Both the HiredHelpr web application and the associated mobile application manage the full lifecycle of the service and relationship, from choosing a professional pool cleaner to managing the quality of the job performed to processing all payments and fees involved.
The HiredHelpr web application was built with PHP, Laravel, and AngularJS. The mobile app was architected using the Ionic framework with a Laravel back-end and an AngularJS front-end.
The mobile app utilizes AWS Rekognition to analyze photos uploaded by the pool cleaners for verification and approval.
External API Integration
Both the web and mobile applications are directly integrated with Stripe Connect for payment processing and QuickBooks API’s for bookkeeping and accounting. Pusher.com and Google Maps API were utilized to provide in-app messaging and geolocation services, respectively.