I Built an AI Resume Analyzer with GPT-5 vs GPT-4o-mini… and the Results Surprised Me 🚀
👉 🔗 Live Demo: https://ai-resume-analyzer-indol-one.vercel.app/ 👉 💻 GitHub: https://github.com/abhi-123/ai-resume-analyzer Most resumes get rejected before a human even sees them. So I built an...

Source: DEV Community
👉 🔗 Live Demo: https://ai-resume-analyzer-indol-one.vercel.app/ 👉 💻 GitHub: https://github.com/abhi-123/ai-resume-analyzer Most resumes get rejected before a human even 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. �