Client: Auto job
Live Site: https://autojob.app/en/
Objective: Personalize and optimize candidate resumes using AI and LLMs and provide real-time interview insights.
Tech Stack: Open AI GPT, Python, Stream lit, Flask, AWS Lambda, Google Cloud OCR
Overview:
Generic resumes and lack of interview feedback hinder candidate success in high-volume hiring processes.
Challenge:
Provide instant resume customization based on job role and offer AI-powered feedback post-interview.
Solution:
- Resume parser and GPT-powered rewriting module based on JD match.
- Sentiment + NLP-based interview response grader.
- Smart job matching using AI vectors and experience relevance.
- Web-based resume editor and analytics dashboard.
Key Results:
- 70% higher match score with job roles
- 90% faster resume generation
- Users improved interview performance with 35% more call-backs
