I’m building a Korean-focused, AI-powered SaaS that helps cost consultants see instantly how one project’s spend stacks up against another. The core engine I need you to develop is the data-reporting layer: it should ingest cost data, recognise patterns, and output clear comparative analysis reports in both Korean and English. Here’s what success looks like to me: • A secure, multi-tenant web app (cloud-hosted) where cost consultants can upload raw cost sheets or connect to existing databases. • An AI module—leveraging Python, TensorFlow/PyTorch or a similar framework—that cleans the data, flags outliers, and delivers side-by-side cost comparisons at the click of a button. • Dynamic dashboards built with React (or Vue) plus a charting library such as D3 or Highcharts, all fully localised for Korean users. • Role-based access so a consulting firm can switch between projects without exposing client-specific numbers. • A REST or GraphQL API for future integrations. Acceptance criteria 1. Upload 5+ sample projects and generate a Korean/English comparative report in under 30 seconds. 2. Charts must highlight highest variance items automatically. 3. All text strings pass a native-speaker QA for Korean. If you’ve shipped SaaS apps before—especially anything analytics-heavy—and you’re comfortable weaving AI into production, I’d love to see how you’d attack this build and what tech stack you’d propose.