Ai-Trend-Publish: An AI-Based Trend Discovery and Content Publishing System 193

ai-Trend-Publish: What is it?

Ai-Trend-Publish is an AI-based trend discovery and content publishing system. Its main features include multi-source data collection, intelligent summarization, and automatic publishing to WeChat Official Accounts.

Feature Overview

Multi-source Data Collection:

• Twitter/X Content Scraping: Supports scraping content from Twitter and other platforms.

• Website Content Scraping: Scrapes website content based on the FireCrawl tool, and supports custom data source configuration.

AI Intelligent Processing:

• Content Summarization: Uses AI services such as DeepseekAI, Together, Qianwen, Wanxiang, and iFlytek for content summarization.

• Key Information Extraction: Extracts key information from the scraped content.

• Intelligent Title Generation: Automatically generates article titles.

Automatic Publishing:

• WeChat Official Account Article Publishing: Automatically publishes processed content to WeChat Official Accounts.

• Custom Article Templates: Supports custom article templates.

• Scheduled Publishing Tasks: Allows setting up scheduled publishing tasks.

Notification System:

Bark Notification Integration: Integrates with the Bark notification system to provide task execution status notifications and error alerts.

Tech Stack

• Runtime Environment: Node.js + TypeScript

• AI Services: DeepseekAI, Together, Qianwen, Wanxiang, iFlytek

• Data Sources: Twitter/X API, FireCrawl

• Scheduled Tasks: node-cron

• Template Engine: EJS

• Development Tool: nodemon (hot reload)

Getting Started

• Environment Requirements: Node.js (v22+), npm, TypeScript

• Installation Steps:

1. Clone the project: git clone https://github.com/OpenAISpace/ai-trend-publish.

2. Install dependencies.

3. Configure environment variables: Copy .env.example to .env and fill in the necessary configurations such as API keys.

4. Start the project: npm run start.

Deployment Guide

• Method 1: Direct Deployment: Install Node.js (v20+) and PM2 on the server, build the project, and use PM2 to start the service.

• CI/CD Automatic Deployment: The project has been configured with GitHub Actions for automatic deployment. Pushing code to the main branch will automatically trigger deployment.

GitHub Repository: https://github.com/OpenAISpace/ai-trend-publish