This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady
What I Built
LazyLore is a zero-effort, AI-powered bedtime story generator that reads stories aloud — all from a single browser tab.
Type a prompt like "A sleepy bear drifting down a quiet river", tap Create Story, and a custom 3-paragraph bedtime story is generated by Groq and immediately read aloud through your browser using the Web Speech API — in a slow, deep, calming voice tuned for sleep.
Key features:
🌙 One-tap story generation via Groq (open-weight LLM)
🔊 Instant text-to-speech playback (pitch 0.8, rate 0.85 — engineered for drowsiness)
🇬🇧 / 🇮🇩 English and Indonesian language support
📚 Local story history — replay favorites without re-generating
🎨 Deep dark UI designed to not blind you at midnight
Demo
Code
This is a Next.js project bootstrapped with create-next-app.
Getting Started
First, run the development server:
npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev
Open http://localhost:3000 with your browser to see the result.
You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.
This project uses next/font to automatically optimize and load Geist, a new font family for Vercel.
Learn More
To learn more about Next.js, take a look at the following resources:
- Next.js Documentation - learn about Next.js features and API.
- Learn Next.js - an interactive Next.js tutorial.
You can check out the Next.js GitHub repository - your feedback and contributions are welcome!
Deploy on Vercel
The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.
Check out our Next.js deployment documentation for more…
How I Built It
LazyLore is built with Next.js 14 (App Router), Tailwind CSS, and TypeScript.
The backend is a single API route that sends the user's prompt to Groq (open-weight LLM) and returns a plain-text bedtime story. The system prompt explicitly bans Markdown — because hearing "asterisk" read aloud at midnight is not relaxing.
On the frontend, the story is immediately passed to the browser's built-in Web Speech API with pitch: 0.8 and rate: 0.85 for a slow, deep delivery. No third-party TTS service needed.
Stories are saved to localStorage so you can replay favorites — no database, no account, no data leaving your device.
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