APPLICATION TRACKING SYSTEM | LLM PROJECT

Application Tracking System (ATS) using Google Gemini and OpenAI:
In this video, I demonstrate how to build an end-to-end ATS system using Google's Gemini and OpenAI API. The goal is to analyze resumes and compare them to job descriptions to provide suggestions for improving your resume to match the job requirements.
The key steps are:
1. Provide a job description
2. Upload your resume
3. The system will attempt to match your resume to the job info
4. It will then highlight areas for improvement in your resume
This allows you to optimize your resume for ATS systems used by most companies to screen candidates. By implementing this project yourself, you can use it to enhance your own resume and job applications.
The code is available on GitHub: github.com/kowshik24/CVAnalyz...
Streamlit App: cvanalyzerpro-lxv2nxsyvdx5ap5...

[@Pradip_Deshmukh]

Nice! Thank you for such a informative video. I also tried the same thing with Gemini model, but the problem is even if we pass the same JD & Resume to model again score will differs. And the difference is huge like first time it gave 50% so next time it will give 30% or 75% ( I tried with changing Temperature values also). So my question is do you face the same issue?

[@kowshik-deb-nath]

Thank you so much, Pradip! And yeah I also get the same thing regarding Gemini and other's OpenAI models. But the thing is that if we try to get specific keywords rather than the entire JD and scoring the Resume I think it will be better. Again, although it's using Generative AI models it can make mistakes. So, trying out other different models also may be another way to score a resume. And btw Prompt Engineering may be help better.