Loading repository data…
Loading repository data…
Ejb503 / repository
AIContentWizard: AI-powered CLI tool for generating and managing social media content across LinkedIn, Reddit, and Twitter. Web scraping and NLP-driven post creation,
A transparent discovery signal based on current public GitHub metadata.
This score does not audit code, security, maintainers, documentation quality, or suitability. Verify the repository and its current documentation before adoption.
AIContentWizard is an advanced command-line interface (CLI) tool that harnesses the power of web scraping and AI to generate engaging social media content. This versatile tool scans various internet sources and creates tailored posts for LinkedIn, Reddit, and Twitter, helping you maintain a strong online presence across multiple platforms.
git clone https://github.com/yourusername/internetscan-social-poster.git cd internetscan-social-poster
Install the required dependencies: pip install -r requirements.txt
Set up your environment variables:
.env file in the project root directoryLINKEDIN_API_KEY=your_linkedin_api_key
REDDIT_API_KEY=your_reddit_api_key
TWITTER_API_KEY=your_twitter_api_key
Run the main script to start the AIContentWizard interface: python main.py Copy Once started, you can interact with the tool using various commands:
scan <topic>: Scan the internet for content related to a specific topicgenerate <platform> <topic>: Generate a post for the specified platform based on scanned contentpost <platform>: Post the most recently generated content to the specified platformschedule <platform> <time>: Schedule a post for a specific timeanalytics <platform>: View performance analytics for your posts on the specified platformscan artificial intelligencegenerate linkedin artificial intelligencepost linkedinAIContentWizard uses AI to create platform-specific posts:
Each generated post includes:
The tool utilizes specialized AI models for different tasks:
Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.
This project is licensed under the MIT License - see the LICENSE file for details.