Inspiration
Tailoring instructions often get scattered across pictures, messages, and voice notes. We created Tailorite to help tailors and customers agree on the details before cutting begins.
What it does
Tailorite turns customer instructions into structured briefs, highlights missing or conflicting details, and supports customer approval. Later changes show their effect on price and delivery dates.
How we built it
We used Next.js and Tailwind CSS for the interface, NestJS for the backend, PostgreSQL for storage, and Gemini for AI-assisted processing of text, images, and audio.
Challenges we ran into
Handling conflicting instructions, preserving approved versions, and keeping customer approvals simple were our main design challenges.
Accomplishments that we're proud of
We designed a focused workflow connecting customer instructions, approved briefs, and change requests, with human review at every important decision.
What we learned
AI is more useful when its suggestions can be checked. Clear approvals and version history are just as important as extracting information.
What's next for Tailorite
We plan to pilot with tailors in Ibadan, improve voice-note processing, and int
Built With
- gemini
- nestjs
- nextjs
- postgresql
- swagger
- tailwindcss

