Building a Volunteer-Student Matching Platform

The manual process of matching migrant workers with volunteer English teachers was time-consuming and inefficient. There was a need for an automated system that could handle the growing number of participants while ensuring appropriate matches based on various criteria.

• Secure authentication system with role-based access control
• Intuitive interface for student and teacher profile management
• Automated matching system with status tracking
• Comprehensive screening process for volunteers
• Native language compatibility tracking

Frontend (Vue.js):

• Vuex for centralized state management
• Vue Router for seamless navigation
• Buefy UI framework for consistent design
• Modular architecture for scalability

Backend (Node.js):

• RESTful API with Express.js
• PostgreSQL for reliable data storage
• JWT-based authentication
• Environment-based configuration

The project had significant impact on MAD WISH's operations, streamlining their volunteer-student matching process and substantially reducing administrative overhead for coordinators. The automated system improved the tracking and management of teaching relationships while enhancing the volunteer screening and verification process, leading to more effective and sustainable matches.

Through this project, I gained invaluable experience in building full-stack applications with modern frameworks and implementing secure authentication systems. Working in an agile development environment and collaborating closely with stakeholders taught me how to effectively deliver technical solutions that create meaningful social impact. This experience at TechLadies Bootcamp demonstrated how technology can be leveraged to address community needs while fostering professional growth.