Noq | Devpost

Inspiration

Our team has consistently tried to improve our personal school experiences slowly but surely by optimizing every small process we can. This tool takes it to the next level and completely streamlines the learning process up to the point where you can start studying!

What it does

Noq listens into your lecture, compiling and categorizing all of the lecture’s most important points for you. They are automatically expanded and revised, separating all the different ideas to be ready for vectorization. Once entered into the vectorstore, the RAG search engine allows for context-driven searching through your notes to easily find what you need. You can also generate diagrams for specific lines within a note, easily visualizing what has been summarized for the user.

How we built it

Using Groq as the main infrastructure behind our application, we leveraged its highly fast speeds to run multiple inference calls in our backend AI agent network almost instantly. ChromaDB also served as the vectorstore to store the notes and run our semantic search engine for easy querying. Our actual website was also built in Next.js and Tailwind.

Challenges we ran into

It was hard creating a complex real-time app without streaming with minimal delay and having AI agents acting in the background

Accomplishments that we're proud of

Being able to integrate external tools and technologies such as embedding models with Groq, as well as maintaining multiple servers interacting with each other to create a seamless and extremely fast interaction

What we learned

Frontend is hard

What's next for Noq

Completely integrate it with personal calendars and email, using tool calling for extracting upcoming events and deadlines and automatically creating reminders for those. This is a product we could easily see becoming a staple in our daily lives, and will definitely continue improving upon it!