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Built for your course, not the internet

Study smarter,
not harder.

Upload your notes. Get lessons, quizzes and exam prep grounded in your course — not the internet.

  • Trained on YOUR syllabus — not a general-purpose assistant's guess at what your lecturer covered.
  • Spaced-review across lessons — every new lesson starts with a question from an earlier one. Generic AI tools forget.
  • Past questions + exam simulator tuned to Ghanaian universities — not a generic “make me a quiz” prompt.
  • Works on low-data connections with an offline-capable PWA — study on the trotro, sync when you get Wi-Fi.
K
A
E
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Built with students from Legon, KNUST, UCC, UPSA and more

// what you actually get

Three things other AI can't do

Real product surfaces — not marketing screenshots.

CSM 25710:42

numerical-methods.syllabus

Your study plan

W1Interpolation
W2Numerical integration
W3ODEs · Euler & RK methods
W4Error analysis
Midterm: 15 May (3 days away)

Upload your syllabus. Get topics, weekly schedule, dated deliverables — one-tap export to Google Calendar.

Q 5/4023:14

STAT 223 · 2023 · UG

A sample of n=20 students has mean = 85, sd = 7. Test if μ ≠ 80 at α = 0.05.

At = 3.19, reject H₀
Bt = 2.85, reject H₀
Ct = 1.43, fail to reject
Dt = 0.71, fail to reject
Q 5 / 40

Real Ghanaian past papers — UG, KNUST, UCC. Timed exam simulator with mastery analytics by topic.

BTC 771A2

assignment-2.docx

Ethical AI Framework

FAAB Systems Ghana Limited's transition into an AI-augmented enterprise solutions partner depends on clients' sustained trust. Fairness operationalises as pre-deployment bias audits using demographic parity testing for any model that influences compensation...

Floridi (2018)Jobin (2019)NIST AI RMF

Save submission:

How I built this

Ready-to-submit Word + PDF — APA citations from real peer-reviewed work, with web sources you can verify.

// why suapon ai

Other AI systems don't know your syllabus like we do.

We built Suapon AI after watching students lose hours copy-pasting lecture notes into general-purpose AI tools. This is what you get instead.

When you want to…
Other AI tools
Suapon AI
Study what your lecturer actually teaches
Generic web answers — may or may not match your course
Grounded in your uploaded notes, slides and past papers
Not forget Week 2 material by Week 7
Every chat starts from zero — no memory across sessions
Every new lesson begins with a review quiz on earlier concepts
Practise under real exam conditions
Ask for "sample questions" and hope they look right
Timed exam simulator with a growing library of real past questions
Know which topics you’re weak on
No progress tracking — you’re flying blind
Topic-level mastery analytics per course
Study in class / on the trotro with spotty Wi-Fi
Needs a full internet connection every time
Offline-capable PWA — downloads lessons, syncs when you reconnect
Learn with your classmates
Solo chat only
Study Rooms + Peer Review built in

// see it in action

A real Deep Explain lesson, click through it below.

The first 3 of 7 steps from a real generated lesson — no sign-up required. The full lesson includes worked numeric examples, checkpoint quizzes, exam tips and 3 suggested follow-up lessons that build spaced review on top.

Sample LessonLesson 1 · Mathematical Foundations for AI Decision-Making

Expected Value Foundations for AI Project Selection

~38 min3 of 7 shown3 in-lesson quizzes (hidden in preview)
beginnerStep 1 of 3

From Intuition to Expected Value

Strategic AI investment decisions start with a simple question: given uncertainty, what is this project worth on average?

Expected Value is defined as E[X] = Σ(p_i × x_i), summed over every possible outcome.

Worked example. An automation project has three scenarios:

  • Success (p = 0.6): +GHS 2,000,000 in savings
  • Partial (p = 0.3): +GHS 800,000
  • Failure (p = 0.1): −GHS 500,000 (implementation loss)

E[project] = 0.6 × 2,000,000 + 0.3 × 800,000 − 0.1 × 500,000 = 1,390,000

The project is worth GHS 1.39 M in expectation — which is a real, defensible number you can compare across proposals on the same scale.

Takeaway

EV turns a gut feeling into a number you can rank against other options.

Spaced Review (what happens in Lesson 2)

In Lesson 2, the first checkpoint re-asks you one EV question from *this* lesson before introducing variance — so the new material builds on cemented foundations, not half-remembered ones.

// features

Everything you need to excel

Powerful AI tools designed specifically for how Ghanaian university students study and prepare for exams.

deep-explain.lesson

Deep Explain Lesson Series

A progressive 7-step lesson on any topic from your notes, with worked examples, 3 in-lesson quizzes and a series of follow-up lessons that keep building your understanding.

spaced-repetition.engine

Spaced Repetition

Every next lesson in a series begins with review questions on earlier concepts, so what you learn this week still lives in your head on exam day.

tutor.chat

Personal AI Tutor

24/7 chat tutor grounded in your uploaded notes. Ask follow-up questions, demand a worked solution, or request a simpler analogy — context is never lost.

quizzes.adaptive

Smart Flashcards & Quizzes

Adaptive quizzes and flashcard decks generated from your notes. The engine focuses each review on the topics you struggle with most.

exam.simulator

Exam Simulator

Timed, full-length practice exams with past-question style feedback. Finish, score, and see exactly what to revise next.

media.export

Podcasts & Study Sheets

Turn a topic into a listen-while-you-commute AI podcast, a visual study sheet, a concept map or a printable revision diagram — one click each.

rooms.collab

Study Rooms

Study alongside classmates in real-time rooms. Share notes, run group quizzes and stay accountable through exam week.

research.assistant

Research & Brainstorm

Gather sources, outline essays and structure projects. An AI research assistant plus a brainstorming canvas for every assignment.

analytics.mastery

Progress Analytics

Track topic mastery, lesson completion and quiz scores. See where you’re strong, where you’re slipping and exactly what to revisit.

// how it works

Three simple steps to success

Getting started with Suapon AI is quick and effortless.

step 01

Upload your materials

Upload lecture notes, past questions, textbook chapters, or any study material in PDF, DOCX, or image format.

step 02

AI processes everything

Our AI analyses your materials, extracts key concepts, generates summaries, flashcards, and practice questions.

step 03

Study & excel

Use AI-generated study tools, take practice quizzes, chat with your AI tutor, and walk into exams confident.

// pricing

Simple, student-friendly pricing

Start free and upgrade when you need more. No hidden fees.

Free

Get started at no cost

0GHS
Start free
  • 2 courses
  • Basic quizzes
  • Limited AI responses
  • Community support
Most popular

Monthly Premium

Full power, pay monthly

30GHS / mo
Get premium
  • Unlimited courses
  • Full AI access
  • Exam simulator
  • AI tutor (unlimited)
  • Performance analytics
  • Priority support

Semester Premium

Best value — one payment for the term

100GHS / sem
Save ~17% vs monthly
Get semester plan
  • Everything in Premium
  • Priority AI processing
  • Offline study mode
  • Export to PDF
  • Group study rooms
  • Dedicated support

// testimonials

Loved by students

Used the exam simulator for STAT 223 and scored 78 — up from 54 in mid-sem. The system flagged hypothesis testing as my weakest topic two weeks before the final.

K

Kwame Mensah

UG, L300 · STAT 223

The tutor doesn’t just give answers — it makes me work through fluid mechanics derivations step by step. Better than the YouTube videos I was using before.

A

Abena Osei

KNUST, L200 · ME 263

Spaced-review caught me off guard. By week 6 it was already testing me on week 1 stuff. Came final exam, I actually remembered the early concepts I always used to forget.

E

Edem Agyemang

UCC, L400 · ECON 401

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