Hyperion Financial Sentinel

Inspired by the predictive elements in 'Hyperion' and the societal division portrayed in 'Metropolis', Hyperion Financial Sentinel aims to empower smaller businesses ('the undercity') by providing sophisticated financial monitoring previously only accessible to larger corporations. The 'AI Workflow for Companies' scraper project inspired its implementation. The system works by scraping financial transaction data (bank statements, invoices, expense reports) via APIs or user-provided CSVs, leveraging pre-trained or fine-tuned anomaly detection models (e.g., isolation forests, autoencoders). These models learn the historical patterns of a company's financial behavior and identify unusual transactions based on various factors like amount, frequency, vendor, or location. The system then generates alerts and reports, classifying anomalies based on their severity and potential impact. The platform is designed to be low-cost by utilizing open-source AI libraries and offering a freemium model with limited features and data volume, upgrading to paid tiers for higher usage and more advanced analytics (e.g., fraud prediction). High earning potential stems from selling subscriptions to SMEs who lack the resources to build and maintain their own fraud detection systems. Niche focus on a specific industry vertical (e.g., e-commerce, restaurants) can further increase adoption and effectiveness by tailoring anomaly detection models to the unique financial patterns of that sector.