Smart Trade AI

Abstract

1. Introduction

AI assistant for international trade — 38 B2B skills (lead gen, OSINT, email, docs, compliance). End-to-end customer development pipeline. Runs locally. 外贸业务员 AI 助手。

2. Objective

AI assistant for international trade — 38 B2B skills (lead gen, OSINT, email, docs, compliance). End-to-end customer development pipeline. Runs locally. 外贸业务员 AI 助手。

This project demonstrates how Python, FastAPI can be applied to a real-world Digital Marketing & SEO problem.

4. Technology Stack

5. System Requirements

General requirements for this technology stack — check the README for exact versions.

• Python 3.8 or later
• pip / virtualenv for dependencies
• VS Code, PyCharm or Jupyter Notebook
• Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/chefroger/smart-trade-ai.git
cd smart-trade-ai

Full setup instructions are in the project README.

7. Future Enhancements

Suggested extensions you can add to make this your own project.

• Export reports to Google Sheets or PDF
• Schedule weekly automated reports
• Add competitor comparison

8. Viva / Review Questions

Common questions examiners ask for projects in this domain.

1. Which marketing or SEO problem does this tool solve?
2. Which data sources or APIs does it use (Search Console, Analytics, social platforms)?
3. Which metrics or KPIs does it report and how are they calculated?
4. How could the output help a business make decisions?
5. How would you schedule it to run automatically?

9. Source Code & License

This project is developed by chefroger and published on GitHub under the GNU Affero General Public License v3.0. Please follow the license terms and credit the original author when you use or modify this code.