# lumio-adaptive-content-extractor (`dezaaya/lumio-adaptive-content-extractor`) Actor

Structures educational content by teaching mode for personalized learning in African classrooms

- **URL**: https://apify.com/dezaaya/lumio-adaptive-content-extractor.md
- **Developed by:** [Oshinloye Omodesire](https://apify.com/dezaaya) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-usage

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Lumio Student Learning Discovery & Content Generator

**An Apify Actor that discovers how YOU learn best and generates personalized educational content.**

### The Problem

In Nigerian classrooms, teachers teach 40-70 students the same way.

**Facts:**

- 7 in 10 Nigerian children can't read by age 10
- One teacher per 70 students
- When you don't understand one way of teaching, there's no backup

**Result:** You fall behind.

***

### The Solution

This Actor:

1. **Discovers YOUR learning style** through adaptive quiz
2. **Generates content in YOUR mode** (visual, step-by-step, or conversational)
3. **Provides practice questions** targeted to your level
4. **Identifies misconceptions** so you don't get stuck

**Instead of one teacher teaching 70 ways the same way, you get content that fits HOW YOU LEARN.**

***

### How It Works

#### Input

```json
{
  "topic": "fractions",
  "education_level": "primary_6",
  "run_discovery_quiz": true
}
```

#### What Happens

1. Quick learning style quiz (visual/step-by-step/conversational)
2. System discovers: "You learn best with visual explanations"
3. Generates fractions content using diagrams, visual steps, examples
4. Includes common mistakes & practice questions

#### Output

```json
{
  "topic": "fractions",
  "student_profile": {
    "discovered_learning_mode": "visual",
    "recommendation": "Content structured for visual learners"
  },
  "content": {
    "mode": "visual",
    "concepts": [...]
  },
  "practice_questions": [...]
}
```

***

### Why It's Different

✅ **Adaptive Discovery** - Finds YOUR learning style, not guessing
✅ **Personalized Content** - Content in THE way you learn
✅ **Practice Questions** - Targeted to your level & struggle areas
✅ **For African Students** - Built for Nigerian education context
✅ **No Competitor** - No Actor does learning style discovery

***

### Use Cases

- Students preparing for JAMB exams
- Students struggling in one-size-fits-all classrooms
- Tutoring centers personalizing lessons
- EdTech platforms adapting content
- Remote learning in low-bandwidth areas

***

### Monetization

**Pay-per-event:** $0.05 per personalized content generation

***

**Built for SCA 2026 Apify Hackathon**

*Your education, personalized to how YOU learn*

# Actor input Schema

## `topic` (type: `string`):

e.g., 'fractions', 'photosynthesis', 'linear equations'

## `education_level` (type: `string`):

Select your current grade level in Nigerian education system

## `run_discovery_quiz` (type: `boolean`):

Run a quick quiz to find how you learn best

## Actor input object example

```json
{
  "topic": "fractions",
  "education_level": "primary_6",
  "run_discovery_quiz": true
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("dezaaya/lumio-adaptive-content-extractor").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("dezaaya/lumio-adaptive-content-extractor").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call dezaaya/lumio-adaptive-content-extractor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,dezaaya/lumio-adaptive-content-extractor"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/p2hy9UPtQANlqP9T3/builds/P899j8aMoHTSVzgIp/openapi.json