CultFit

Inspiration

A student who got ignored in the interviews because of poor judgement of the interviewer.

What it does

It acts like an ethical AI , understanding what you said and how you said it to analyze the cultural fit of the person with the companies values and beliefs.

How we built it

I used NLP and ML to create the models with the required functionalities. Having facing trouble with the execution time - shifted it to prebuilt models and APIs like hume and groq.

Challenges we ran into

Long execution queue and unavailability of a bigger dataset.

Accomplishments that we're proud of

It works as expected :)

What we learned

The concept of RIG and RAG - retrieval augmented generation.

What's next for CultFit

Build it completely and sell to potential users/buyers .

Built With

• chroma
• embedding
• gpt
• groq
• hume
• llama
• python
• rag