I Built an AI Resume Analyzer with GPT-5 vs GPT-4o-miniโฆ and the Results Surprised Me ๐
๐ ๐ Live Demo: https://ai-resume-analyzer-indol-one.vercel.app/ ๐ ๐ป 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
๐ ๐ Live Demo: https://ai-resume-analyzer-indol-one.vercel.app/ ๐ ๐ป 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: โข Analyzes resumes against job descriptions โข Calculates an ATS-style score โข Highlights strengths, weaknesses, and gaps โข Suggests actionable improvements But hereโs where it got interestingโฆ I tested two models: โ GPT-4o-mini (fast & cheap) โ GPT-5 (slower & more expensive) The difference? GPT-4o-mini: โข Quick and decent insights โข More general suggestions โข Higher (but slightly generous) scores GPT-5: โข Much deeper analysis โข More realistic scoring โข Extremely actionable suggestions (almost like a career coach) Example: Instead of saying โimprove backend skills,โ GPT-5 suggested: โ Build microservices (REST/gRPC) โ Deploy using Docker + Kubernetes โ Add CI/CD pipelines and observability Thatโs not just feedback โ thatโs a roadmap. ๏ฟฝ