📄 中文摘要
为了帮助求职者更快地申请工作并提高简历质量，开发了一款自动化应用，能够识别简历中的技能缺口。该应用通过一个自动化流程，首先允许用户上传 PDF 格式的简历，接着提取简历中的文本信息。由于 PDF 格式在简历中被广泛使用，但提取文本的过程复杂，因此该应用旨在简化这一过程，并结合 ATS（申请者跟踪系统）优化简历，确保求职者能够更有效地与职位描述匹配，提升求职成功率。
从 PDF 到 ATS 优化简历的三步法 — 我是如何使用 Next.js 和 OpenAI 构建它的
📄 English Summary
From PDF to ATS-Optimised Resume in Three Steps — How I Built It with Next.js and OpenAI
To assist job applicants in applying faster and improving the quality of their resumes, an automated application has been developed to identify skill gaps in resumes. The application operates through an automated pipeline that begins with the upload of a PDF resume, followed by the extraction of text information from the resume. Given that PDF is a widely used format for resumes, but the text extraction process is complex, this application aims to simplify that process while optimizing resumes for ATS (Applicant Tracking Systems), ensuring that job seekers can effectively match their resumes with job descriptions and enhance their chances of success.