Getting Claude to extract data from a 1997 football manager game (bennuttall.com)

A nostalgic journey into the past of football gaming has led to an impressive data extraction project using Claude, an AI tool. The user sought to salvage and analyze game data from FIFA Soccer Manager 97, originally designed for Windows 95, which still functions on modern systems through Wine on Linux. By guiding Claude to the game files, the user managed to extract vital information, including player statistics, team details, and stadium data, allowing for a comprehensive overview of the game's contents. This resulted in creating an interlinked website summarizing the data and access to CSV files for detailed manipulation. This project is significant for the AI/ML community as it highlights the potential of AI in data extraction and processing from legacy software. Using AI to automate tedious tasks like data organization not only demonstrates the capabilities of tools like Claude but also opens the door for similar applications in accessing and reviving data from other dormant software. The user’s endeavor to clean up the extracted data and correct errors symbolically bridges the gap between nostalgia and modern technology, fostering community engagement through GitHub for further exploration and experimentation with the extracted datasets.