Rejectron 5000

Inspiration

inspiration is drawn from the corporate culture where not always the correct employee is appreciated

What it does

it takes a pdf as input, parses it and creates a ROAST review of the resume, either directly for it or based on the JD if given by the user.

How we built it

we mainly used Gemini and Claude to build project, but fine-tunes ourselves to achieve exactly what we intended to, which is sarcasm and fun!!

Challenges we ran into

understanding complex LLM models and how they can be used in the real world. converting text into road but limiting the abuse and also while converting to Speech, ensuring it has the human element to it.

Accomplishments that we're proud of

we achieved what we set out to achieve in the first place.

What we learned

A lot about LLM and its application.

What's next for Rejectron 5000

adding a dashboard functionality so it becomes more fun on why it is supposed to be roasted

Built With

• llm
• python
• rag
• sqlite