Inspiration
The Gokongwei Brothers Foundation receives 10,000 individual reflections in a week. But we also thought about how many student organizations in our school face a similar challenge when checking recruitment essays.
What it does
In simple terms the program sifts through a volume of essays which reduces the time it takes to validate the reflection of each individual teacher
How we built it
React on the client side with Flask exposing the API endpoint. We used Groq to as an interface for the Llama model and Winston AI for plagiarism and AI detection.
Can be improved further by having ...
- PDF Reader
- Better prompt engineering
- Auto email function
Critical for operation
- need to pay for tokens for Groq and Winston
- Code refactor: simplify for future engineers
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