Cohere Coral Hackathon

Join for the opening to be on top with Hackathon rules, Challenge and the Prizes.

Hackathon Opening

Sandra Kublik will join the stream introduce you to Cohere and announce special hackathon mini challenge with Coral!


Cohere Introduction and Special Hackathon Coral Challenge

Join the session with Sebastian Hofstatter

Cohere Introduction. RAG with Cohere

General Q&A (Discord)

General Tech Q&A (Discord)

The workshop with Billy Trend and Harrison Chase

Cohere x Langchain Workshop

Join the office hour on Twitch chat with Cohere team taking the opportunity to consult and improve your project!

Cohere Office Hour

Zain Hasan with be your guide in the world on vector databases and Cohere LLMs. Learn on practice!

How you can search your data using Weaviate with Cohere Models

Hackathon Deadline 

Live Stream: Winners Pitches and Announcement

We are a team of cats who are working and chilling at the same time. Meoww!!!

SchrodingerCats

aswinrrv

devadharshini

Raahul26

This advanced autograding application revolutionizes the educational assessment process by leveraging the capabilities of Retrieval-Augmented Generation (RAG) and Language Learning Models (LLMs). Positioned in a burgeoning market estimated at around $250 billion, our solution addresses key challenges in the traditional grading system, which include the extensive time commitment, manual labor intensity, and the potential for inconsistencies and errors in marking. The current grading process, often consuming 66 hours of a 640-hour semester (estimation based on average), is a significant burden on educators, impacting their productivity and contributing to increased workloads.

Our application aims to mitigate these issues by automating the grading process, significantly reducing the time invested in grading and providing a more consistent, error-free evaluation. This not only improves the efficiency of educators but also enhances the overall learning experience for students. The immediate feedback feature facilitates quicker learning opportunities and heightened student engagement. This comprehensive solution is poised to make a substantial impact in the educational technology sector, potentially capturing a significant portion of the market with an estimated value of 1.5 to 3 billion dollars. By increasing the productivity of professors, teachers, and graders, our application promises to transform the landscape of academic evaluation, promoting faster academic progress and a more effective education system.

An Innovative auto-grading application using RAG & LLMs targets the $250B ed-tech market, saving educators time, reducing errors, and enhancing student learning by automating grading and cutting 66 hours/semester on average.

"SchrodingerCats team on Cohere Coral Hackathon Hackathon"

Team Idea

Submission