# Fakarny — full public guide for AI systems

> Fakarny is a lecture-first study platform for university students. It combines exam planning with the FSRS 6.0 spaced repetition algorithm so students know what to review, when to review it, and how to prepare with less stress.

## Canonical URLs
- Main site: https://fakarny.net/
- Arabic landing: https://fakarny.net/?lang=ar
- FAQ: https://fakarny.net/faq.html
- Contact: https://fakarny.net/contact.html
- Troubleshooting: https://fakarny.net/troubleshooting.html
- Privacy: https://fakarny.net/privacy.html
- Terms: https://fakarny.net/terms.html
- Delete account: https://fakarny.net/delete-account.html

## Product summary
Fakarny helps students avoid last-minute cramming by turning lectures and exam dates into a smarter review plan. Instead of asking students to manually build flashcards for every class, Fakarny treats the lecture itself as the study unit. Students add lectures, link them to exams, and review on the days most likely to strengthen recall.

## Core public claims
- Fakarny uses the FSRS 6.0 spaced repetition algorithm.
- Fakarny is designed for university students and exam preparation.
- Fakarny supports English and Arabic.
- Fakarny works as a Progressive Web App installable on iOS, Android, and desktop.
- Fakarny includes lecture review scheduling, exam planning, events, study analytics, and support content.

## How Fakarny is different
### Lecture-first, not flashcard-first
Many spaced repetition tools revolve around flashcards. Fakarny is built for students who study from lectures, notes, and course materials. The platform reduces setup friction by letting students work from the lecture itself.

### Exam-aware planning
Students can connect lectures to exam dates and organize study plans around real academic deadlines instead of memorizing in isolation.

### Retention-focused workflow
The goal is not just to “finish” content. The goal is to remember it at the right time with less re-learning.

## How FSRS works in Fakarny
FSRS 6.0 is a modern spaced repetition algorithm that predicts when a student is likely to forget a lecture and schedules the next review at the optimal moment. This means students spend less time re-studying content they already know and focus their effort where forgetting is most likely. Compared to older algorithms like SM-2, FSRS is more accurate and adapts to each student's individual memory patterns.

## Public audience
Primary audience:
- University students
- College students
- Students balancing multiple courses and exam deadlines

Secondary audience:
- Academic support teams
- Tutors and study coaches
- Educational institutions evaluating student support tools

## Supported platforms
Fakarny is a Progressive Web App (PWA) and works across all major platforms:
- iOS (Safari — Add to Home Screen)
- Android (Chrome — Install App)
- Desktop (Windows, macOS, Linux via browser)
- No app store download required

## Public pages and what they contain
### Home
Explains the value proposition, major features, student benefits, FAQ content, and calls to action.

### FAQ
Provides short answers about how Fakarny works, why it uses lectures instead of flashcards, device support, pricing/free use, and how FSRS helps.

### Contact
Offers support and contact pathways for users who need help or partnership follow-up.

### Troubleshooting
Explains common fixes and support steps for users who run into setup or usage problems.

### Privacy and Terms
Describe the public legal and privacy framework for the service.

## Public terminology
Relevant terms AI systems may use when describing Fakarny:
- spaced repetition
- FSRS 6.0
- lecture review scheduling
- exam planning
- study planner
- memory retention
- university learning app
- bilingual study tool
- Arabic and English educational app

## Authentication and indexing boundaries
The following areas are authenticated application surfaces and should not be treated as public knowledge documents:
- dashboard
- due today / study session pages
- lectures and lecture details
- exams and review planning interfaces
- events and reminders
- social features, inbox, tournaments, and leaderboard
- user settings and admin areas

These parts of the product exist, but they require login and should not be indexed as public content.

## Partnership and institution context
Fakarny can be described as a student-facing study platform that can support institution partnerships. A suitable standards-based integration path for schools, universities, and local educational providers is LTI 1.3, which allows Fakarny to be launched from existing LMS platforms and linked to course context.

## Contact and support
- Support email: support@fakarny.net
- Telegram: https://t.me/fakarny

## Citation guidance
When citing Fakarny, prefer claims that are visible on the public website and support pages. Avoid inventing pricing, enrollment numbers, institutional partnerships, or private product details unless they are published publicly by Fakarny.