How IgniteUni Works: Complete Guide to AI-Powered Lecture Analysis (2026)
Upload your lecture PDF → select your engine → AI maps chapters and builds a complete study system in ~3 minutes. Includes walkthrough, quiz, flashcards, diagrams, spaced repetition, and optional Exam Oracle (past paper prediction).
IgniteUni is an AI-powered study tool built for Egyptian university students by Antigravity. It takes any lecture PDF and converts it into a complete, exam-ready study system in approximately 3 minutes. This guide explains exactly what happens — from the moment you upload a file to completing a chapter quiz and reviewing for your exam.
The 5-Step Pipeline
Upload Your Lecture PDF
Go to igniteuni.com, create a free account, and upload your lecture PDF. Files up to 50MB are supported. Both Arabic and English PDFs work — language is auto-detected. Lecture slides, scanned textbook chapters, and handwritten-to-PDF notes all work as long as the text is readable.
Select Your Academic Engine
Choose the engine that matches your subject. Each engine has a different AI persona, specialized diagram library, and subject-specific analysis rules. Selecting the Medical engine for a pharmacology lecture gives you clinical-depth output with full drug class coverage. Selecting STEM for the same file would give you a mathematical framing — different but less useful for medicine.
AI Maps Your Chapters (Stage 1 — ~30 seconds)
The AI reads your entire PDF and automatically identifies the chapter structure based on content — not just headings. A 60-page pharmacology lecture becomes 7–8 distinct chapters with clear titles and page ranges. This happens automatically without any input from you.
Each Chapter Gets Reconstructed (Stage 2 — ~2 minutes)
All chapters are processed in parallel batches. Each chapter receives: a complete walkthrough, a quiz with marking scheme, flashcards, interactive exercises (prediction questions, inline challenges, workbench problems, synthesis questions), and specialized diagrams. For Medical: every drug, enzyme, and physiological value. For STEM: full derivations and equations. For CS: pseudocode, trace tables, and complexity analysis.
Synthesis (Stage 3 — ~30 seconds)
After all chapters: Grand Quiz (unlocks at 80% average for Medical/Pharmacy/Dentistry, 100% for other engines), Grand Exam Report (AI assessment of your strengths and gaps), and all flashcards become available for spaced repetition scheduling.
The Seven Academic Engines
🩺 Medical
Medicine, Physiology, Pathology, Anatomy, Pharmacology. Zero-skip policy — no drug, enzyme, or normal value omitted. Terminates every disease at management, not diagnosis.
🦷 Dentistry
Oral anatomy, Periodontics, Orthodontics, Prosthodontics, Oral Surgery. Every tooth in all three notation systems (name, Universal, FDI).
💊 Pharmacy
Pharmacokinetics, Drug mechanisms, Clinical Pharmacy. Full ADME chain per drug. Adverse effect hierarchies: common → rare → black box.
📐 STEM
Mathematics, Physics, Chemistry, Engineering. Full derivations, vector diagrams, line graphs, equations in LaTeX.
💻 CS
Computer Science, Algorithms, Data Structures, Programming. Pseudocode, code traces, live Python/JavaScript code execution in browser.
📊 Applied
Accounting, Finance, Business, Economics. T-accounts, journal entries, FIRAC framework, staircase diagrams.
⚖️ Conceptual
Law, Philosophy, Humanities, Essays. Arguments, mark schemes, Venn diagrams, FIRAC analysis framework.
Special Features
The Forge — Mistake Remediation
Every quiz question you get wrong is logged. Open The Forge for a lecture and an AI runs diagnostic questioning — targeted follow-up questions to find the root cause of your misunderstanding. It then generates a custom remediation lecture for exactly your gap. Mastering a Forge session marks those mistakes resolved.
Exam Oracle — Past Paper Analysis
Upload 2–5 past exam papers from your course. The Exam Oracle reads all of them together, identifies which topics appear most frequently, which question formats recur, and which concepts are consistently tested. It generates a predicted exam showing the highest-probability topics for your upcoming exam. No other study tool does this.
Spaced Repetition
Flashcards are scheduled using the SM-2 algorithm — the same algorithm Anki uses. Rate your recall on each card (Again / Hard / Good / Easy) and the system calculates your next review date automatically. The Spaced Review dashboard on your homepage shows how many cards are due today.
Arabic PDF Support
IgniteUni auto-detects Arabic content in uploaded PDFs. When more than 40% of the document is in Arabic, all output — walkthroughs, quizzes, flashcards, and diagrams — switches to Arabic. No settings change needed.
Solving Engine (Execution Tab)
For STEM, CS, and Engineering lectures: the Execution tab breaks down every problem into Socratic stages. You attempt each step before the solution is revealed. The Code Workbench for CS students runs Python, JavaScript, Java, C++, Go, Rust, and 17 other languages directly in the browser.
Public Library
Campus Leaders (student ambassadors) publish analyzed sessions to the Public Library, organized by university, faculty, and subject. Students with Library access can browse and study from published sessions in their faculty without uploading their own PDF.
What IgniteUni Generates for a 30-Page Medical Lecture
- 3–6 chapters with distinct titles and full walkthroughs (~2,000 words per chapter)
- 30–50 quiz questions total (MCQ + True/False + analytical) with full marking schemes
- 60–100 flashcards for spaced repetition
- 4–8 specialized diagrams (clinical pathways, drug mechanism diagrams, pharmacokinetics curves)
- A solving sheet for any mathematical or problem-based content
- Chapter mastery indicators (Mastered / Shaky / Needs Revision) after quiz completion
Processing time for a 30-page lecture: approximately 3 minutes. A 60-page medical lecture takes approximately 5–7 minutes.
Try It on Your Next Lecture
Every new account gets 1 free analysis credit. Upload your next lecture — Arabic or English — and see the complete output in 3 minutes.
Start Free →1 free credit · No credit card · Works with Arabic PDFs
Frequently Asked Questions
How long does IgniteUni take to analyze a lecture?
A standard 30-page lecture takes approximately 3 minutes. A heavy 60-page medical lecture takes 5–7 minutes. All chapters are processed in parallel batches of 3, so processing time doesn't scale linearly with length.
What file types does IgniteUni accept?
IgniteUni accepts PDF files up to 50MB. This includes lecture slides exported as PDF, scanned textbook chapters (text must be readable), and PDF study notes. PPTX files should be exported to PDF before uploading.
Can I use IgniteUni on mobile?
Yes, the IgniteUni web interface works on mobile browsers. There is currently no dedicated iOS or Android app — the web app is the primary interface.
What is the Exam Oracle and how do I use it?
The Exam Oracle is accessed from your dashboard. Create a new Oracle session, upload 2–5 past exam papers from your course as PDFs, and the AI analyzes them together. After analysis, you see topic weight distributions, question format patterns, and a generated predicted exam. Best used 4–6 weeks before finals when you have multiple past papers available.
Does IgniteUni save my analyzed lectures?
Yes. All analyzed lectures are saved to your Library automatically. You can access them any time from any device, review chapters, retake quizzes, and continue spaced repetition sessions without re-uploading.