The Good Driver Incentive Program
This Project will be completed in the Course CPSC 4910- Senior Computing Practicum. This project will be completed in a group of 5 members. This page will be updated as we finish each phase/milestone. Stay Tuned for updates!
Project Description
The Good Driver Incentive Program is a web application that encourages better driving behaviors among truck drivers by awarding points for positive actions. These points can be redeemed for products in a sponsor-managed catalog.
Drivers: can log in to the system, view and update their profiles, track their points, and browse their sponsor's catalog to redeem points for rewards. They can also view the status of their purchases and manage their orders.
Sponsor Users: oversee the drivers and manage the incentive programs. They can log in to review and update their own profiles, manage driver applications, approve or reject drivers, and adjust points based on driver performance. They also manage the product catalog by integrating with APIs for up-to-date product information, including prices and availability. Sponsors can assume the role of a driver to see the system from the driver's perspective, ensuring the program runs smoothly.
Admin Users: have the highest level of control, managing both sponsor and driver accounts. They can review and update profiles for all user types, handle security aspects like password resets, and monitor significant system events through audit logs. Admins ensure the overall integrity and security of the system by managing access, handling escalations, and generating detailed reports that track points, purchases, and system usage across all users.
Project Timeline
- Weeks 1-3: Team Selection, Project Planning & Development Setup
- Weeks 4-15: Work in a team environment with minimal supervision. Plan, Code & Test using Agile Project Management
- Weeks 16-17: Final Project Presentations
Project Completion
We successfully completed the Good Driver Incentive Program project, delivering a fully functional web application that met all requirements and exceeded expectations. Our final demo showcased all key features, and we received an A grade for the project.
- Implemented order confirmation emails using AWS SES.
- Added a user reviews feature for catalog items.
- Enabled drivers to add items to their catalog and purchase with points.
- Set up real-time notifications for drivers to alert them when points are spent or added.
- Developed driver profile management with purchase history tracking.
- Integrated future purchase tracking with dedicated tabs.
Project Status: Completed Successfully
Release Plan
For a detailed view of the projected release plan, you can view the Release Plan here. This document contains the full plan of what features will be completed in each sprint.
Technology Stack
- Hosting: AWS Amplify
- Database: AWS RDS with MySQL
- Database Management: MySQL Workbench
- Back-End: Node.js, AWS Lambda
- Front-End: React, Vite, TypeScript, and Material UI
- Version Control: Git
- Project Management: Azure DevOps
- API Testing: Postman
- Debugging: AWS CloudWatch
- Email Service: AWS SES
User Stories
For a detailed list of all user stories, please view the User Stories Document. This document contains over 350 user stories outlining key features and functionality for the project.
Coding and Testing
Throughout this project, I have focused on several key areas:
- Building and deploying AWS Lambda functions to handle backend processes like catalog management and user authentication.
- Setting up AWS API Gateway to connect the front-end with our serverless backend infrastructure.
- Implementing AWS SES to send order confirmation emails as part of our e-commerce workflow.
- I have been the sole developer working on the catalog integration so far. Initially, I used the eBay API for our product catalog, but due to the complexity and frustration of working with their API keys, I switched to using iTunes' public API, which simplified our catalog implementation.
Upcoming Focus: Accessibility
Accessibility is a priority for our team. The features we have implemented are:
- Screen reader compatibility
- Customizable themes and font sizes
- High contrast modes for better visibility
- Greyscale Mode
- Dark Mode
- Audio Feedback
- Zoom Level adjustment
- Line Height customization
- Text Alignment options
- Keyboard Navigation
These features has been implemented in to ensure our application is accessible to all users, including those with disabilities.
Technical Implementation
AWS RDS
We used AWS RDS with MySQL to securely store and manage all driver, sponsor, and catalog data.
AWS API Gateway
API Gateway manages our backend endpoints, routing requests between the front end and AWS Lambda.
AWS Lambda
Lambda functions serve as our serverless backend, handling business logic and database queries.
Amazon Cognito
Cognito ensures secure authentication and authorization for all user roles.
AWS Amplify
AWS Amplify was used for hosting and continuous deployment of the frontend, integrating seamlessly with the backend services.
Project Screenshots
Below are screenshots showcasing key features of the web application:
Web App Home Screen
Accessibility Settings Screen
FAQ Screen
Applications Screen