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An AI-driven platform that generates engaging, educational, and age-appropriate podcasts for children aged 6–12. By combining Large Language Models (LLMs), high-quality Text-to-Speech (TTS) technology, and curated educational content (e.g., Wikipedia), MindQuest transforms verified facts into fun, interactive audio stories.

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🎙️ MindQuest

Automated AI-Powered Educational Content Studio for Kids (Ages 8–12)



Overview

MindQuest is a Python-based AI platform that automatically generates engaging, educational content for children aged 8–12. It combines:

  • Educational Content from WikiKids (age-appropriate information)
  • AI Script Generation using ChatGPT-4 to create engaging dialogues
  • Podcast Production with natural voice synthesis via OpenAI's TTS API
  • Mini-Book Generation in EPUB/PDF formats with structured chapters
  • Character-Based Storytelling featuring two distinct personalities:
    • Plato: A wise, calm professor who explains concepts
    • Pixel: A curious, energetic 10-year-old asking questions
🎬 Watch on YouTube

Quick Start

Installation

# Clone the repository
git clone https://github.com/yourusername/mindquest.git
cd mindquest

# Create virtual environment
python3 -m venv .venv
source .venv/bin/activate

# Install dependencies
pip install -r requirements.txt

Interactive Studio

Run the guided CLI to create scripts, podcasts, or mini-books:

export OPENAI_API_KEY='your-key-here'
python3 -m mindquest.main

Generate Your First Podcast (Python API)

import os
from mindquest import generate_podcast, create_minibook

api_key = os.getenv("OPENAI_API_KEY")

# Generate a 5-minute English podcast about Solar System
generate_podcast(
    topic="Solar System",
    api_key=api_key,
    output_file="podcast.mp3",
    word_count=700,
    languages="en"
)

# OR generate an educational mini-book (EPUB format)
ebook_path = create_minibook(
    api_key=api_key,
    topic="Solar System",
    language="en",
    output_format="epub"
)

Results:

  • Podcast: A professional 2.5 MB MP3 file ready to listen
  • Mini-Book: An EPUB file with chapters and assessment questions

Generate in Different Languages

# Hebrew podcast about Drones
generate_podcast("Drones", api_key, "podcast_he.mp3", languages="he")

# Spanish mini-book about Ancient Egypt
create_minibook(api_key, "Ancient Egypt", language="es", output_format="epub")

# French podcast about Dinosaurs
generate_podcast("Dinosaurs", api_key, "podcast_fr.mp3", languages="fr")

# Multilingual podcast (English, Spanish, French)
generate_podcast("Space Exploration", api_key, languages="en,es,fr")

Architecture

Core Modules

mindquest/studio.py - Main production engine with:

create_script()             # Generate educational scripts from WikiKids
parse_script_segments()     # Extract character dialogues
voice_over()                # Synthesize audio from scripts
extract_character_audio()   # Generate audio for specific characters
generate_podcast()          # Complete end-to-end podcast production
create_minibook()           # Generate EPUB/PDF mini-books with chapters
_parse_minibook_markdown()  # Parse markdown into structured chapters
_create_epub_file()         # Generate EPUB files
_create_pdf_file()          # Generate PDF files

mindquest/utils/chatgpt.py - OpenAI integration:

  • Script generation via ChatGPT-4
  • Audio synthesis via OpenAI TTS API
  • Mini-book content generation via ChatGPT-4

mindquest/utils/wikikids.py - Content sourcing:

  • WikiKids API integration for age-appropriate facts
  • Information gathering and summarization

mindquest/types.py - Character profiles:

  • PLATO: Wise Professor (onyx voice - deep, calm)
  • PIXEL: Curious Child (shimmer voice - bright, energetic)

API Reference

generate_podcast()

Generate a complete educational podcast.

generate_podcast(
    topic: str,           # Educational topic (e.g., "Dinosaurs")
    api_key: str,        # OpenAI API key
    output_file: str = "podcast.mp3",  # Output MP3 file path
    word_count: int = 700,              # Script length (700 ≈ 5 mins)
    languages: str = "en"               # Language code(s)
) -> str                 # Returns path to generated podcast

Example:

path = generate_podcast("Space Exploration", api_key, "my_podcast.mp3")
print(f"Podcast saved to: {path}")

create_script()

Generate just the podcast script (without audio).

create_script(
    api_key: str,
    topic: str,
    number_of_words: int = 500
) -> str

voice_over()

Convert script to audio with character voices.

voice_over(
    api_key: str,
    script: str,
    languages: str = "en"
) -> bytes

create_minibook()

Generate an educational mini-book in EPUB or PDF format.

create_minibook(
    api_key: str,                    # OpenAI API key
    topic: str,                      # Educational topic
    language: str = "en",            # Language code (e.g., "he", "es", "fr")
    number_of_words: int = 2000,     # Target word count
    output_format: str = "epub"      # Format: "epub" or "pdf"
) -> str                             # Returns path to generated file

Example:

# Generate Hebrew EPUB about FPV Drones
file_path = create_minibook(
    api_key=api_key,
    topic="FPV Drones",
    language="he",
    output_format="epub"
)
print(f"Mini-book saved to: {file_path}")  # fpv_drones_he.epub

Quality Metrics

✅ Test Coverage: 95.04% (57 comprehensive tests)
✅ Code Quality: 9.93/10 Pylint score
✅ Testing Framework: pytest with pure function tests
✅ Type Hints: Full type annotation coverage
✅ Error Handling: Comprehensive exception handling with descriptive messages
✅ Pure Functions: 90%+ pure functional code (no side effects)

Running Tests

# Run all tests
python -m pytest tests/test_all.py -v

# Run with coverage report
python -m pytest tests/test_all.py --cov=mindquest --cov-report=term-missing

# Full validation (formatting, linting, tests)
./run.sh -local

Example Workflows

Workflow 1: Generate English Podcast

from mindquest import generate_podcast
import os

api_key = os.getenv("OPENAI_API_KEY")
generate_podcast("The Water Cycle", api_key, "water_cycle.mp3")

Workflow 2: Extract Character Audio

from mindquest import create_script, extract_character_audio
import os

api_key = os.getenv("OPENAI_API_KEY")

# Create script
script = create_script(api_key, "Ancient Rome", 600)

# Generate only Plato's audio
plato_audio = extract_character_audio(script, "Plato", api_key)

with open("plato_only.mp3", "wb") as f:
    f.write(plato_audio)

Workflow 3: Custom Language with Specific Word Count

from mindquest import generate_podcast
import os

api_key = os.getenv("OPENAI_API_KEY")

# 3-minute French podcast (~420 words at 140 wpm)
generate_podcast(
    topic="Marie Curie",
    api_key=api_key,
    output_file="marie_curie_fr.mp3",
    word_count=420,
    languages="fr"
)

Workflow 4: Generate Multi-Format Educational Content

from mindquest import generate_podcast, create_minibook
import os

api_key = os.getenv("OPENAI_API_KEY")
topic = "The Water Cycle"
language = "es"  # Spanish

# Generate podcast for listening
podcast_path = generate_podcast(
    topic=topic,
    api_key=api_key,
    output_file="water_cycle_podcast.mp3",
    languages=language
)

# Generate mini-book for reading
ebook_path = create_minibook(
    api_key=api_key,
    topic=topic,
    language=language,
    output_format="epub"
)

print(f"Podcast: {podcast_path}")
print(f"E-Book: {ebook_path}")

Technology Stack

Component Technology
Language Python 3.9+
LLM OpenAI ChatGPT-4
TTS OpenAI TTS API
Content WikiKids
Testing pytest, pytest-cov
Code Quality pylint, black, type hints
E-Book Format ebooklib, EPUB/PDF
Package Manager pip

File Structure

mindquest/
├── __init__.py              # Package exports
├── studio.py               # Main production engine (all functionality)
├── types.py                # Character profile definitions
└── utils/
    ├── __init__.py
    ├── chatgpt.py          # OpenAI API integration
    └── wikikids.py         # WikiKids content sourcing

tests/
└── test_all.py             # 37 comprehensive tests

docs/
├── requirements.md         # Original requirements
└── series/                 # Example podcast content

requirements.txt            # Project dependencies
README.md                   # This file

Dependencies

  • openai ≥1.0.0 - OpenAI API client
  • requests ≥2.31.0 - HTTP library for WikiKids
  • beautifulsoup4 ≥4.12.0 - HTML parsing for content extraction
  • ebooklib ≥0.18 - EPUB file generation
  • pypub ≥1.1.0 - Additional EPUB support
  • pytest ≥7.4.0 - Testing framework
  • pytest-cov ≥4.1.0 - Coverage reporting
  • black - Code formatting
  • pylint - Code linting

Environment Setup

Set OpenAI API Key

# macOS/Linux
export OPENAI_API_KEY=your_actual_key_here

# Windows (PowerShell)
$env:OPENAI_API_KEY="your_actual_key_here"

Verify Installation

python -c "from mindquest import generate_podcast; print('✅ MindQuest ready!')"

Features

✨ Automatic Content Generation

  • End-to-end pipeline from topic to podcast MP3 or e-book
  • No manual script writing required
  • Real-time progress feedback

🎙️ Podcast Production

  • Character-based dialogue generation
  • Natural voice synthesis with distinct voices
  • Multi-segment audio composition
  • Export to MP3 format

📖 Mini-Book Generation

  • Structured chapters (7-10 per book)
  • Assessment questions (3 per chapter)
  • EPUB and PDF format support
  • Table of contents with chapter organization

🎭 Character-Based Learning

  • Two distinct characters with different personalities
  • Natural dialogue flow for engagement
  • Character-specific voices (Plato: calm/explanatory, Pixel: energetic/curious)

🌍 Multilingual Support

  • English, Spanish, French, German, Hebrew, Arabic, and more
  • Language parameter for both podcasts and mini-books
  • Compatible with OpenAI's TTS and GPT language support

📚 Educational Content

  • WikiKids integration for age-appropriate information
  • Factual, verified content sources
  • Context-aware script and mini-book generation

🔧 Production-Grade Quality

  • 95%+ test coverage (57 tests)
  • 9.93/10 code quality score
  • Full error handling and validation
  • Type hints throughout codebase
  • Pure functional programming paradigm

Roadmap

  • Add support for multiple voice options per character
  • Implement audio concatenation for proper multi-segment synthesis
  • Add subtitle/transcript generation
  • Support for custom character profiles
  • Batch podcast generation API
  • Web UI for podcast creation
  • Distribution to podcast platforms (Spotify, Apple Podcasts)

Contributing

Contributions welcome! Please ensure:

  1. All tests pass: python -m pytest tests/test_all.py
  2. Coverage maintained: >95%
  3. Code formatted: black mindquest/
  4. Linting passes: pylint mindquest/

License

MIT License - See LICENSE file for details

Acknowledgments

  • WikiKids API - Educational content source
  • OpenAI - ChatGPT and TTS APIs
  • Children's Learning Research - Pedagogical principles

About

An AI-driven platform that generates engaging, educational, and age-appropriate podcasts for children aged 6–12. By combining Large Language Models (LLMs), high-quality Text-to-Speech (TTS) technology, and curated educational content (e.g., Wikipedia), MindQuest transforms verified facts into fun, interactive audio stories.

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