An AI-powered Exercise Generator that helps people create practice questions quickly, without needing any technical background. You choose a topic (like linear equations, cells, or Big-O), pick a level (beginner to advanced), and optionally add your interests and skill goals. 

The app then generates a set of multiple-choice questions with clear step-by-step explanations, and you can switch to Practice Mode to answer, track your score, and see what you got right or wrong. It also saves your past sets so you can return to them later, mark favorites, and search by topic or level. 

The app was designed with a strong focus on safety and privacy: it avoids harmful topics, supports consent-based analytics, and keeps a clear “Terms & Privacy” flow so users understand what is stored and why. 

Small “learning helper” apps that turn a textbook or course PDF into clear practice questions for students. In this project, a student picks a topic (like “cells” or “DNA”), and the app searches the PDF for the most relevant parts, then generates multiple-choice exercises from only that material. 

What makes it different is trust and transparency: every question includes links back to the exact source chunks (with page and section details), so learners and teachers can quickly verify where the answer came from. 

The app also has a stable workflow (index → retrieve → generate), keeps results saved between runs, and can export exercises and a simple “transparency report” for review. This makes it useful for people from different backgrounds—students who want extra practice, teachers who want fast quizzes, and self-learners who want answers they can check.