by liangdabiao · AI Tool · ★ 85
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智能简历筛选系统 (Resume Screener) 这是一个基于大型语言模型（LLM）的智能简历筛选系统。它旨在通过自动化和智能化的方式，提高招聘流程中简历筛选环节的效率和准确性。 备注：需求来源：实战案例：从 0 到 1 搭建 LLM 智能简历筛选 Agent 系统（设计+实现） 功能特性 自然语言交互: 理解HR以自然语言形式提出的筛选需求。 智能信息提取: 利用LLM从PDF简历和JD中提取结构化信息。 量化匹配算法: 结合语义理解和结构化信息，对候选人进行多维度量化评估。 多层次筛选: 实施语义初筛 - 硬性条件过滤 - 综合评分排序的漏斗式流程。 候选人分析: 为HR提供候选人匹配度分析与建议。 RESTful API接口: 提供易于集成的Web API接口 项目结构 快速开始 环境准备 克隆项目代码 (如果适用) 创建虚拟环境: 安装依赖: 配置环境变量 复制 文件并重命名为 ，然后填写相应的配置信息： 编辑 文件，填写你的Ope
| Stars | 85 |
| Forks | 28 |
| Language | Python |
| Category | AI Tool |
| Quality Score | 45.666/100 |
| Last Updated | 2026-06-20 |
| Created | 2025-08-12 |
| Platforms | docker, python |
| Est. Tokens | ~14k |
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LLM-Agent-Resume is 实战案例：从 0 到 1 搭建 LLM 智能简历筛选 Agent 系统（设计+实现）智能简历筛选系统 · Resume Screener 基于 LLM + 向量检索的智能简历筛选系统 上传简历 → 用一句话描述岗位需求 → 自动解析、检索、过滤、评分、排序并生成候选人分析报告. It is categorized as a AI Tool with 85 GitHub stars.
LLM-Agent-Resume is primarily written in Python.
You can find installation instructions and usage details in the LLM-Agent-Resume GitHub repository at github.com/liangdabiao/LLM-Agent-Resume. The project has 85 stars and 28 forks, indicating an active community.
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