👉 🔗 Live Demo: https://ai-resume-analyzer-indol-one.vercel.app/

👉 💻 GitHub: https://github.com/abhi-123/ai-resume-analyzer

90% resumes get rejected before a human sees them.

So I built an AI Resume Analyzer to understand why.

This tool:

• Analyzes resumes against job descriptions

• Calculates an ATS-style score

• Highlights strengths, weaknesses, and gaps

• Suggests actionable improvements

But here’s where it got interesting…

I tested two models:

→ GPT-4o-mini (fast & cheap)

→ GPT-5 (slower & more expensive)

The difference?

GPT-4o-mini:

• Quick and decent insights

• More general suggestions

• Higher (but slightly generous) scores

GPT-5:

• Much deeper analysis

• More realistic scoring

• Extremely actionable suggestions (almost like a career coach)

Example:

Instead of saying “improve backend skills,” GPT-5 suggested:

→ Build microservices (REST/gRPC)

→ Deploy using Docker + Kubernetes

→ Add CI/CD pipelines and observability

That’s not just feedback — that’s a roadmap.

💡 Key takeaway:

Fast AI improves UX.

Smart AI improves decisions.

The real power is combining both.

So I added:

⚡ Fast Mode (instant results)

🧠 Deep Analysis Mode (advanced insights)

Would love your feedback 👇

What would you improve in this tool?

Have you ever tested different AI models like this?

AI #React #WebDevelopment #BuildInPublic