I Built an AI Resume Analyzer with GPT-5 vs GPT-4o-miniβ¦ and the Results Surprised Me π
π π Live Demo: https://ai-resume-analyzer-indol-one.vercel.app/ π π» 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
π π Live Demo: https://ai-resume-analyzer-indol-one.vercel.app/ π π» 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: β’ Analyzes resumes against job descriptions β’ Calculates an ATS-style score β’ Highlights strengths, weaknesses, and gaps β’ Suggests actionable improvements But hereβs where it got interestingβ¦ I tested two models: β GPT-4o-mini (fast & cheap) β GPT-5 (slower & more expensive) The difference? GPT-4o-mini: β’ Quick and decent insights β’ More general suggestions β’ Higher (but slightly generous) scores GPT-5: β’ Much deeper analysis β’ More realistic scoring β’ Extremely actionable suggestions (almost like a career coach) Example: Instead of saying βimprove backend skills,β GPT-5 suggested: β Build microservices (REST/gRPC) β Deploy using Docker + Kubernetes β Add CI/CD pipelines and observability Thatβs not just feedback β thatβs a roadmap. οΏ½