Project: Jouzu
team: Sell Fam Ployd (ID: 6013)
Team members: Brendan (e1122506@u.nus.edu, @Brendanng7), Jem (e1155896@u.nus.edu, @Jem_zhang)
Poster | Promo Video | Technical Proof-of-concept
Hi Austin! We are Jouzu, the platform that aims to teach people Japanese through organic conversations. After interviewing more than 50 Japanese learners from language centers and in school, we realize that most people find it difficult to bridge the gap between classroom learning and practical use of Japanese. Everyone learned to talk as little babies by jumping right into it and picking up patterns as we go, so why can’t we do so with new languages?
Jouzu wants to achieve organic language learning by getting learners to converse with each other, receiving corrections from an AI Japanese teacher to correct their mistakes on-demand. We want learners to only pick up the most practical and useful knowledge, and be able to communicate as soon as possible.
Our current plan is to build our frontend using React Native, and Backend with Django, generating AI feedback using OpenAI's API.
Our app will ship with two flagship features:
- Matching learners and facilitating conversation with AI teacher
- Generative Flashcards with dynamic examples that strengthen association between words
However, we are in talks with several Japanese educators to understand the problem space on a deeper level. We are prepared to change our development plans in future sprints to cater to the needs of real-world users.
We are eager to build a solution that will be adopted by our target users as soon as possible, but we also don't want to sacrifice code quality and proper practices, especially system design and CI/CD decisions.
It would be amazing to have your guidance with your deep experience in software architecture principles and innovation, minimizing technical debt to enable long-term development as we serve more students.
Thank you for spending time to read about our project, looking forward to learning from you!
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