The AI Horizon Scanner is an interactive dashboard that enhances AI knowledge by visualizing key metrics across AI development, geographic distribution, innovation, investment, and public perception. This powerful tool transforms complex AI trends into actionable insights through compelling visualizations and curated weekly AI discoveries.
This dashboard supports the vital public conversation about AI by:
- Making complex AI metrics accessible
- Highlighting both opportunities and risks
- Revealing geographic and sectoral disparities
- Tracking the rapid evolution of AI capabilities
- 6 Interactive Sections covering all aspects of AI evolution
- 20+ Dynamic Visualizations with Plotly-powered charts
- Weekly Spotlight showcasing rotating AI breakthroughs
- Public Opinion Poll capturing user perspectives
- Comparison Tool for cross-dimensional AI metric analysis
- Performance Optimized with data caching for smooth experience
- Research trend analysis
- Competitive intelligence
- Project ideation and hypothesis building
- Built with Streamlit for interactive web app
- Plotly for advanced visualizations
- Pandas for data manipulation
- Parquet format for efficient data storage
- Caching mechanisms for optimal performance
- 🔧 AI Development
- Training costs, computation, parameters, and dataset sizes
- Evolution by domain and organization type
- 🌍 Geographic Distribution
- AI system concentration by country
- Patent applications and legislation worldwide
- 💡 Innovation
- Research affiliations and patent trends
- Industry vs. academic contributions
- 💵 Investment
- Private investment by region and sector
- Generative AI funding explosion
- 👥 Public View
- Automation concerns by age group
- AI sentiment across countries and genders
- Autonomous vehicle safety perceptions
- 🔍 Comparison Tool
- Custom metric comparisons by country/domain/organization
- Time-range filtering capabilities
The app synthesizes data from multiple authoritative sources including:
- AI research publications
- Our World in Data
- MIT News
- HubSpot
- Coursera
- Clone the repository
- Install dependencies: pip install -r requirements.txt
- Run the app: streamlit run AIHorizonScannerApp.py
MIT License - Free for educational and non-commercial use
For any questions or inquiries, feel free to reach out:
- LinkedIn: Sevilay Munire Girgin Thank you for visiting my project repository. Happy and accurate predicting! 💕