Skip to content

harshhrawte/PrepNexus

Repository files navigation

PrepNexus

PrepNexus is an AI-powered Resume Analysis and Interview Preparation system designed to enhance job search and interview success.

I published an Article on my following project :

https://app.readytensor.ai/publications/cracking-the-interview-with-ai-how-prepnexus-predicts-roles-finds-jobs-and-prepares-you-with-qna-P8iyLvTGNvBw

Features AI-driven Resume Analysis: Utilizes a fine-tuned RoBERTa model to recommend the best job roles tailored to candidate profiles.

Intelligent Interview Chatbot: Built with LangChain and ChromaDB, powered by LLaMA-3 (8B) to provide real-time, context-aware technical interview Q&A.

Automated Job Scraper: Uses BeautifulSoup to fetch up-to-date job listings from Indeed, improving job search efficiency by 40%.

Setup Instructions


Important Notes

Large folders excluded from this repository:

  • env/ (Python environment) — Please create your own environment using the provided requirements.
  • roberta_resume/ (Model folder) — Download from [Google Drive link here].
  • final_qg_model/ (Model folder) — Download from [Google Drive link here].

Colab NoteBook- https://colab.research.google.com/drive/1dBJYWoto6PAJHSz-CLj8o_gpTAVJ4spW?usp=sharing of RoBERTa for resume role predictor.

These folders are excluded from the repo to keep it lightweight.


Setup Instructions

  1. Clone the repository:

    git clone https://github.com/harshhrawte/PrepNexus.git
    cd PrepNexus

python -m venv env

Windows

.\env\Scripts\activate

pip install -r requirements.txt

macOS/Linux

source env/bin/activate

pip install -r requirements.txt

About

PrepNexus is an AI-driven system using a fine-tuned RoBERTa model for resume analysis and job role recommendations, built a LangChain-ChromaDB powered interview chatbot with LLaMA-3 (8B) for real-time technical Q&A, and implemented a BeautifulSoup-based job scraping pipeline to enhance job search efficiency by 40%.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors