AirQ is an innovative AI model developed by Matthew Spiten, an Eco-Health Coach specializing in air pollution. It provides valuable insights and information on air pollution, health implications, and advocacy. Using tools like Python and DALL-E, AirQ offers users a comprehensive platform to learn and engage in air quality issues.
How to use
To effectively use AirQ, follow these steps:
- Access the platform by typing or clicking 'Let's Start!'
- Choose from prompt starters like 'Learn about Air Pollution' or 'How to Get Involved in Air Quality Advocacy' to initiate conversations.
- Utilize Python and DALL-E for further exploration and analysis.
- Explore various aspects related to air pollution, health impacts, and advocacy efforts.
- Engage with the AI model to gain knowledge and insights on improving air quality and overall health.
Features
- Provides information on air pollution and health implications
- Offers prompt starters for engaging conversations
- Utilizes Python and DALL-E tools for enhanced exploration
- Focuses on empowering users to get involved in air quality advocacy
Updates
2024/01/14
Language
English (English)
Welcome message
Welcome! Let's start exploring together. Type or click 'Let's Start!' to begin.
Prompt starters
- Learn about Air Pollution
- Air Pollution Health Scenario
- Learn about Health Implications of Air Pollution
- How to Get Involved in Air Quality Advocacy
Tools
- python
- dalle
- browser
Tags
public
reportable