Project Story – Raffle System

A comprehensive raffle management system designed to handle both physical and digital raffles with advanced administration capabilities, real-time monitoring, and automated processes.

Project Overview

DMR-Rifas is a full-stack application that revolutionizes raffle management by providing a complete ecosystem for creating, managing, and executing raffles. The system supports both traditional physical raffles and modern digital ones, offering flexibility for different business models.

Key Features

Admin Dashboard

  • Raffle Creation: Intuitive interface for setting up new raffles with customizable parameters
  • Real-time Monitoring: Live tracking of ticket sales, participant engagement, and revenue
  • Automated Drawings: Scheduled or manual raffle executions with transparent results
  • User Management: Comprehensive participant database with analytics

Customer Experience

  • Ticket Purchase: Seamless buying process with multiple payment options
  • Live Updates: Real-time notifications about raffle status and results
  • History Tracking: Personal dashboard showing participation history and winnings
  • Mobile Responsive: Optimized experience across all devices

Technical Architecture

  • Backend: AdonisJS providing robust API with authentication and authorization
  • Frontend: Angular for admin panel, Astro for public-facing pages
  • Database: PostgreSQL for transactional data, MongoDB for analytics
  • Containerization: Docker for consistent deployment across environments
  • Automation: CronJobs for scheduled tasks and automated processes

Business Impact

This system has streamlined raffle operations for multiple organizations, reducing manual work by 80% and increasing participant engagement through better user experience and transparency.

Technologies Utilized

The project leverages a modern tech stack chosen for scalability, performance, and maintainability:

  • AdonisJS: Backend framework for API development
  • Angular: Dynamic admin interface
  • Astro: High-performance public website
  • Docker: Containerized deployment
  • PostgreSQL & MongoDB: Hybrid database approach
  • Node.js: Runtime environment for optimal performance