Project introduction
翻譯蒟蒻 CLASP native collaboration app | Native app development case study
A native student collaboration app designed for interdisciplinary courses at universities, available on both iOS and Android app stores. It features real-time group chat as its core, allowing students to manually trigger AI for cross-domain concept translation, followed by integration with talent search and six studio tools. The AI operates on a shared backend.
Background of the Problem
Interdisciplinary teams need to understand specialist concepts, not merely translate languages. CLASP supports manual concept translation within chat and connects discussions to shared work.
Core Features
- Email/Google login, iOS also supports Apple
- Real-time group chat, mentions, replies, and attachments
- Manual triggering of AI for cross-domain concept translation on a per-message basis
- Brainstorming, task management, record-keeping, resource sharing, expense tracking, and scheduling
- Skills map and talent search
- Object referencing, message handover, and slash commands
Implementation Methods
- —Available on both the App Store and Google Play
- —Native dual-platform sharing of REST API and server-side AI
- —Socket.IO for real-time events, fallback and idempotent retry
Data Flow
- 01Sign in to a course and group conversation.
- 02Select a message and request concept translation.
- 03Connect the discussion to tasks, resources and collaborators.