
Scott Chou developed the MentalForm feature for the NYCU-Service-Learning/nanao-system repository, focusing on end-to-end mental health form submission and retrieval. He designed a robust database schema using Prisma ORM and implemented a modular backend architecture with NestJS and TypeScript, enabling reliable data capture and future analytics. Scott created new modules, controllers, services, and DTOs to support scalable mental health data workflows, ensuring data integrity and maintainability. His work established a solid API surface for seamless integration and extensibility, laying the groundwork for future enhancements. Over the month, Scott concentrated on feature delivery, with no major bugs reported during this period.
November 2024 monthly summary for NYCU-Service-Learning/nanao-system. Key focus: delivering end-to-end MentalForm functionality and establishing a scalable foundation for mental health data capture. No major bugs were reported this month. The work enhances data integrity, enables analytics, and supports care workflows by introducing a Prisma-backed data model and a robust API surface.
November 2024 monthly summary for NYCU-Service-Learning/nanao-system. Key focus: delivering end-to-end MentalForm functionality and establishing a scalable foundation for mental health data capture. No major bugs were reported this month. The work enhances data integrity, enables analytics, and supports care workflows by introducing a Prisma-backed data model and a robust API surface.

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