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A MOALM AI module is built from whatever study materials you already have, with no retyping or reformatting required. MOALM AI accepts lecture slides, class notes, and textbooks as PDF, PPTX, DOC, or TXT files. You can also snap photos of handwritten notes and upload audio recordings of lectures, which is useful when the best explanation was said out loud rather than written down. Everything you upload becomes one module, so start with the module for your next exam. MOALM AI then reads it automatically: it finds the topics inside, connects them into a concept map with mastery estimates, and turns them into practice questions, flashcards, and scheduled review sessions.

MOALM AI exam predictions are rankings of the topics most likely to appear on your next exam, each shown with a confidence level you can judge yourself. To build them, upload at least three past exam papers, because a pattern only becomes visible with repetition. MOALM AI breaks each paper into its individual questions, maps every question to a topic, and finds which topics come back year after year across the whole set. Topics that repeat rank highest and produce an ordered focus list for your revision. The confidence level reflects how strong the recurrence pattern is, and adding more papers makes the pattern clearer.

MOALM AI is a grounded tutor, which means it answers only from the materials you uploaded rather than from general knowledge on the internet. Every answer shows the exact document and page behind each claim. Verifying takes seconds: tap the citation on any answer, open the cited document at the cited page, and read the claim in its original context. You never have to take the AI at its word, and any answer that matters for your exam can be checked this way. Use the tutor for explanations, follow-up questions, and review help across your module. This document-level grounding is what separates MOALM AI from a general chatbot, which cannot show where its answers come from.

MOALM AI works for any medical school because it builds from whatever you upload instead of from a fixed question bank tied to one syllabus. Your curriculum, your textbook, and your past papers become the study material, so the topics, concept maps, and predictions always match what your own exams actually test. It is not tied to one country or exam board. Whether your course is systems-based or subject-based, the analysis follows the structure of the module you uploaded. If your school changes its curriculum next year, your new uploads simply produce a new analysis with no waiting for content updates.

MOALM AI schedules reviews with spaced repetition, a method where each concept returns for review just before you are likely to forget it. Memory fades on a predictable curve: without review, most of a new topic is gone within days, but each well-timed review flattens that curve and pushes the concept toward long-term memory. Every review you complete updates your schedule. Concepts you answer solidly wait longer before returning, while ones you struggle with come back sooner. This is why a few short review sessions hold up better than one long night of cramming, and it is what keeps every study hour aimed at what your exam will actually test.

Yes. MOALM AI is free to start: create an account, upload one module, and see your full topic analysis, a concept map preview, and the AI tutor with limited questions before paying anything. No credit card is required to start, and you can cancel at any time. Paid plans unlock more modules and full access for students covering several blocks at once. The free tier exists so the analysis of your own materials can convince you before you spend anything. Start free, upload the module for your next exam, and stay only if the focus areas it finds match what you need.