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Project: Interview Preparation with LLM-based Feedback

Open thesumedh opened this issue 1 year ago • 1 comments

Project Name

InterviewPrep

Description

This project is an AI-powered interview preparation tool utilizing the Retrieval-Augmented Generation (RAG) concept. Users submit their resume and a job description, and the system retrieves relevant data to generate tailored interview questions using an LLM (Large Language Model). After answering, the system provides feedback, including personalized tips and an overall performance rating. The backend is built with FastAPI and integrated with Azure for LLM capabilities, ensuring scalable performance for multiple users without requiring login.

Technology & Languages

  • [ ] JavaScript
  • [ ] Java
  • [ ] .NET
  • [X] Python
  • [ ] AI Studio
  • [X] AI Search
  • [ ] PostgreSQL
  • [ ] Cosmos DB
  • [X] Azure SQL

Project Repository URL

https://github.com/thesumedh/InterviewPrep

Deployed Endpoint URL

No response

Project Video

https://github.com/thesumedh/InterviewPrep

Team Members

thesumedh

thesumedh avatar Sep 16 '24 11:09 thesumedh

Hello @thesumedh, thank you for participating in RAG Hack!

The team is working hard to distribute badges. Please have each team member fill out this form: aka.ms/raghack/badge-dist

Thank you!

multispark avatar Oct 23 '24 01:10 multispark