We propose an AI-powered platform that automatically extracts, translates, and categorizes educational documents uploaded by schools. Using OCR, translation models, and AI classifiers, the system organizes files by region/school and generates instant insights for decision-making. A lightweight web dashboard enables uploads, monitoring, and comparison across regions. The implementation includes a FastAPI backend, OCR/text extraction, AI categorization, and structured storage. Key milestones: build pipeline → integrate AI → develop dashboard → optimize. The main challenges are OCR quality, inconsistent file formats, and data privacy. This solution enhances digital education by reducing manual workload, standardizing reporting, and enabling data-driven interventions; success is measured by processing speed, accuracy, and user adoption.