Citizen Oracle: AI-Powered Policy Impact Forecaster

Inspired by the predictive capabilities of the Shrike from Hyperion and the social stratification depicted in Metropolis, Citizen Oracle aims to bring clarity and fairness to policy evaluation. The project's core is an AI model trained on publicly available government data (economic indicators, census data, crime statistics, etc.) and news articles to forecast the potential impacts of proposed legislation. Users input key elements of a proposed policy (e.g., tax changes, new regulations, infrastructure projects) into the system. The AI then analyzes these inputs against the historical data and generates predicted impacts across various demographics (age, income, location, education level). The results are presented in a user-friendly format, highlighting potential benefits and drawbacks for each group. The 'AI Workflow for Companies' scraper project influence comes from using similar data gathering techniques, but focused on government data.

The implementation focuses on modularity and scalability. The AI model can be built using open-source libraries like TensorFlow or PyTorch. Data scraping can be automated using Python and libraries like Beautiful Soup or Scrapy. The user interface can be developed using a web framework like Flask or Django, ensuring accessibility and ease of use. Niche focus: Targeting specific municipalities or regions with open data initiatives allows for faster development and a higher degree of accuracy. Earning Potential: Citizen Oracle can be offered as a subscription service to municipalities, NGOs, and citizens who wish to gain insights into policy impacts. Premium features such as customized reports, advanced scenario planning, and integration with existing government systems can be offered for a higher price.