ProWords

ProWords

中文 | English

中文介绍

ProWords - AI + 身份，让单词记忆更有趣、更有效

ProWords 是一个基于人工智能的专业化英语学习平台，为不同职业的人群提供量身定制的英语学习体验。通过整合先进的AI技术，为用户创建职业相关的例句和学习内容。

特色

职业场景定制：支持多种职业身份组合以及自定义身份，生成贴近工作场景的例句

丰富词库支持：覆盖 CET4/6、GRE、TOEFL、IELTS、考研等多个考试词库

AI 智能例句：不满意可一键重新生成，直到符合你的需求

进度自动保存：随时可以继续上次的学习进度

深色模式：提供舒适的阅读体验

技术栈

• 前端框架: Next.js 14
• UI 组件: Tailwind CSS + Shadcn/ui
• 动画效果: Framer Motion
• AI 集成: 集成先进大语言模型API
• 状态管理: React Hooks
• 本地存储: localStorage

功能特点

职业选择

• 预设职业类型（程序员、设计师、医生等）
• 支持自定义职业描述
• 可多选职业组合，获得多样化的例句

AI学习系统

• 丰富词库支持：
  • CET-4/6（大学英语四六级）
  • GRE（美国研究生入学考试）
  • TOEFL（托福考试）
  • IELTS（雅思考试）
  • PTE（培生英语考试）
  • 考研英语
• 按章节学习
• 自动保存进度
• AI智能例句生成
• 例句重生成功能

应用截图

界面功能

• 深色模式支持
• 响应式设计
• 流畅的过渡动画
• 直观的进度展示

开始使用

1. 克隆项目

git clone 
cd prowords

1. 安装依赖

pnpm install

1. 启动开发服务器

pnpm run dev

1. 访问应用

http://localhost:3000

使用流程

1. 选择职业身份
2. 选择词库类型：
   • CET-4/6（大学英语四六级）
   • GRE（美国研究生入学考试）
   • TOEFL（托福考试）
   • IELTS（雅思考试）
   • PTE（培生英语考试）
   • 考研英语
3. 选择学习章节
4. 开始学习单词
5. 查看AI生成的职业相关例句
6. 不满意可一键重新生成例句

☕ 支持项目

如果这个项目对你有帮助，欢迎请我喝杯咖啡支持一下！您的支持将帮助我持续改进这个项目。

English Introduction

ProWords - AI + Professional Identity: Making Word Memorization More Engaging and Effective

ProWords is an AI-powered English learning platform that provides tailored learning experiences for professionals across various industries. By integrating advanced AI technology, it creates career-relevant example sentences and learning content for users.

Features

Professional Scenario Customization: Support for multiple professional identities and custom roles, generating examples that closely match work scenarios

Rich Vocabulary Support: Covers multiple exam vocabularies including CET4/6, GRE, TOEFL, IELTS, and Kaoyan

AI-Powered Examples: One-click regeneration until you get the perfect example sentences

Auto-Save Progress: Continue from where you left off at any time

Dark Mode: Provides a comfortable reading experience

Tech Stack

• Frontend Framework: Next.js 14
• UI Components: Tailwind CSS + Shadcn/ui
• Animation: Framer Motion
• AI Integration: Advanced language model API integration
• State Management: React Hooks
• Local Storage: localStorage

Key Features

Career Selection

• Preset professional types (programmer, designer, doctor, etc.)
• Support for custom profession descriptions
• Multiple profession selection for diverse example sentences

AI Learning System

• Comprehensive Dictionary Support:
  • CET-4/6 (College English Test)
  • GRE (Graduate Record Examination)
  • TOEFL (Test of English as a Foreign Language)
  • IELTS (International English Language Testing System)
  • PTE (Pearson Test of English)
  • Kaoyan (Chinese Postgraduate Entrance Examination)
• Chapter-based learning
• Automatic progress saving
• AI-powered example sentence generation
• Sentence regeneration functionality

Screenshots

Interface Features

• Dark mode support
• Responsive design
• Smooth transition animations
• Intuitive progress visualization

Getting Started

1. Clone the project

git clone 
cd prowords

1. Install dependencies

pnpm install

1. Start the development server

pnpm run dev

1. Visit the application

http://localhost:3000

Usage Flow

1. Choose your professional identity
2. Select vocabulary type:
   • CET-4/6 (College English Test)
   • GRE (Graduate Record Examination)
   • TOEFL (Test of English as a Foreign Language)
   • IELTS (International English Language Testing System)
   • PTE (Pearson Test of English)
   • Kaoyan (Chinese Postgraduate Entrance Examination)
3. Choose learning chapter
4. Start learning words
5. View AI-generated profession-related examples
6. One-click regeneration if you're not satisfied

☕ Support the Project

If this project has been helpful to you, consider buying me a coffee! Your support will help me continue improving this project.

Environment Setup

1. Create a .env.local file in the project root:

# Create .env.local file
touch .env.local

1. Add the following required environment variables to the .env.local file:

NEXT_PUBLIC_BASE_URL=your_api_base_url
NEXT_PUBLIC_OPENAI_API_KEY=your_api_key

Example:

NEXT_PUBLIC_BASE_URL=
NEXT_PUBLIC_OPENAI_API_KEY=

These environment variables are essential for the application to connect to the required APIs.

License

MIT License

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