UCLA Mentorship Platform

Client Overview:
The client is one of Hungary’s top universities, focused on attracting the brightest high school students through mentorship programs that guide students from high school to university, ensuring a smooth academic journey.

1. Problem Statement:
The university faced the challenge of becoming more appealing to top-tier high school talent. To address this, they aimed to develop a mentorship platform that offers personalized development plans based on psychometric and cognitive assessments. The platform needed to support recruitment, mentorship, and student progress tracking.

2. Project Goals:
The primary goals of the platform were to:

  • Attract talented students to the university.
  • Provide students with clear development paths based on personality tests and academic performance.
  • Connect students with mentors in various academic disciplines.
  • Offer data-driven insights and reporting tools for both students and mentors.

3. Solution:
The development team created a software solution that:

  • Provided a user-friendly process, starting with online assessments (personality and career interest) that lead to personalized mentor assignments.
  • Allowed mentors to track student progress and offer tailored recommendations, guiding students through specific development pathways (e.g., entrepreneurship, engineering).
  • Integrated a robust reporting tool to visualize and monitor key performance metrics.
Rollout IT

4. Rollout IT Involvement:
Rollout IT played a crucial role in both the design and development phases, including:

  • Designing the platform’s architecture.
  • Developing a user-friendly front-end interface and a scalable back-end.
  • Implementing a real-time reporting tool using Apache Superset for data analysis.
  • Ensuring the platform’s scalability for future growth.

5. Project Progress:
The project adhered to the planned timeline, starting in June 2024 and concluding with a live release on September 15, 2024. Some challenges emerged, such as refining the logic behind the testing mechanisms and finalizing the hosting for the reporting tool, but these were resolved through collaborative efforts with the client.

6. Results:
The final platform exceeded expectations in terms of performance and functionality. Key outcomes included:

  • Automated management of student applications, assessments, and mentor matching.
  • Positive feedback from both students and administrative users regarding ease of use.
  • A visually engaging interface for administrators to analyze student data and test results.
Rollout IT

7. Technology Stack:
The project was built using:

  • Back-end: NestJS + TypeORM + Orval
  • Front-end: React (TypeScript) + Tailwind
  • Database: PostgreSQL
  • Reporting Tool: Apache Superset for real-time data visualization

This tech stack ensured scalability, maintainability, and rapid development, with a relational database managing complex, interconnected data.

8. Team Structure:
The Rollout IT team included:

  • 1 Tech Lead
  • 2 Senior Full-Stack Developers
  • 1 Medior Full-Stack Developer
  • 1 Junior Front-End Developer
  • 1 Medior Front-End Developer
  • 1 QA Tester
  • 1 Senior Product Designer
  • 1 Project Manager

9. Timeline & Milestones:
Initial discussions began in May 2024, followed by rapid development starting in June. The design phase was completed within one month, and weekly sprints kept the project on track. The first phase was delivered on September 15, 2024.

10. Client Industry & Feedback:
The client, operating in the education sector, was closely involved throughout the project. Weekly client meetings allowed for continuous feedback and adjustments. A key decision was made mid-project to host the Apache Superset tool internally, and some logic behind the test evaluations was refined to better align with the client’s academic framework.

Future Developments:
A second phase of development is already planned, focusing on expanding the platform’s functionality and improving data extraction capabilities. The goal is to offer deeper insights into student progress and more comprehensive mentorship recommendations.Conclusion:
The student mentoring platform successfully helped one of Hungary’s top universities attract and nurture top talent. By combining innovative technology and personalized educational tools, the platform bridges the gap between high school students and academic success.

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