Xuefeng Agent is an AI college application advisor offering personalized, data-driven guidance beyond generic tools. It addresses the complexity of college selection by integrating extensive domain knowledge with user-specific context, providing honest, actionable advice for better career planning.

How It Works

The agent uses a conversational AI approach, probing user context—family resources, location, career aspirations—before recommending options. It leverages a large, structured knowledge base from educational methodologies, university data, and employment statistics. This allows nuanced recommendations considering factors beyond scores, differentiating it from traditional tools.

Quick Start & Requirements

Install via pip install openai pywin32. Configure an OpenAI-compatible LLM API key in .env. Run with python agent.py (or 启动.bat). Supports various LLMs; DeepSeek V3, Qwen-Plus, GLM-4 recommended. Larger models (7B+) advised. A single Python script deployable on Windows, macOS, Linux. Beginner tutorial (TUTORIAL.md) available.

Highlighted Details

• Extensive Knowledge Base: 17 modules covering 8 books, 1932 pages, 61 video courses, 792 majors, 2600+ universities, 20+ industry classifications.
• Interactive & Honest Advice: Engages users with follow-up questions and provides direct, sometimes blunt, feedback, dissuading unsuitable choices.
• Contextual Logic: Integrates score, family resources, regional preferences, and employment demands for tailored advice.