Inspiration
- With Gokongwei's growing STEM collab community, having a limited number of essay reviewers exceeded their capacity to properly evaluate thousands of essays within a limited time
What it does
- GradeWise uses LLM to automate essay evaluation, allowing faster reviews, accurate scoring, and fraud detection.
How we built it
- Based from the data we gathered from the client, we created a prompt and used a LLM (large-language model) to evaluate the essays based on the rubrics the client has provided
Challenges we ran into
- insufficient data reference
- unclear objective from the client
Accomplishments that we're proud of
-able to come up with a working MVP to solve the main pain point of Gokongwei- STEM Collab regarding essay evaluation
What we learned
- there's greatness in each one of us
What's next for GradeWise
- with more data, we can fine tune the model and enhance the reporting generated from GradeWise
Built With
- apollographql
- llm
- postgresql
- react
- s3
