Linguist

Inspiration

We we wanted to make learning and understanding each other more equitable and fair. Thus we decided to solve a problem that exists everywhere.

What it does

How we built it

React/Vite + Tailwind + Convex Frontend Convex Backend Convex Database Convex API Symphonic Labs Video to Text Chroma RAG Cohere Multilingual LLM

Challenges we ran into

The main Challenge that we all ran into was fitting our experiences and intuition from unopinionated technologies onto convex, which was very opinionated. We struggled in learning and fitting our existing knowledge (JS, NodeJS), onto the opinionated format, which slowed us down significantly. We alos struggled to host the service on AWS and Azure.## Accomplishments that we're proud of

Accomplishments

We were able to get a end-end user case working, from uploading the video, to getting the transcript with Symphonic and using the Cohere LLM chatbot.

What we learned

We learned a ton about effective system design, full stack info

What's next for Linguist

We hope to build for more users in the future, and add more features

Built With

• chroma
• cohere
• convex
• typescript