Exam-Radar is a smart, data-driven web application designed to revolutionize exam preparation by shifting the focus from blind studying to strategic, insight-based learning. Built for the MongoDB Hackathon, it leverages the power of MongoDB Aggregation Pipelines to analyze historical question paper data—tracking subject topics, frequency, and marks over the last 5+ years—to identify high-probability patterns for upcoming exams. The application features a robust Flask backend that processes this unstructured data in real-time and a modern, Glassmorphism-styled frontend that visualizes these insights using dynamic Chart.js graphs, instantly showing students which topics require the most attention. By bridging the gap between raw data and actionable academic strategy, Exam-Radar acts as a personal exam forecaster, helping students optimize their revision time and approach their tests with confidence and a clear, data-backed roadmap.

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