
Scott Chou developed the end-to-end MentalForm feature for the NYCU-Service-Learning/nanao-system repository, focusing on reliable mental health data capture and retrieval. He designed a robust database schema using Prisma ORM and implemented API endpoints and service logic in TypeScript within the NestJS framework. His work included creating new modules, controllers, services, and DTOs to support modular, scalable backend architecture. By establishing a Prisma-backed data model and a comprehensive API surface, Scott enabled secure submission and analytics-ready storage of mental health forms. The project laid a maintainable foundation for future extensions, emphasizing data integrity and supporting care workflows without reported bugs.

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.
Overview of all repositories you've contributed to across your timeline