Оффлайн
- Регистрация
- 1 Мар 2015
- Сообщения
- 1,481
- Баллы
- 155
This is a submission for the : That's Entertainment!
What I Built
SceneCraft is an AI-powered storytelling experience that turns a short text prompt into a full sensory adventure. It generates a complete short story using Amazon Bedrock, breaks the story into scenes, and brings each one to life with:
The experience feels like a lightweight, animated audiobook — making it fun for both kids and adults. You give it just a sentence, and in return, you get an immersive, narrated story complete with visuals and sound.
It’s designed to feel magical, yet it's entirely powered by AWS-native AI services.
Demo
?
Code Repository
?
How I Used Amazon Q Developer
I used Amazon Q Developer inside the AWS Console and VS Code extension to:
Scaffold AWS SDK usage quickly
Generate boilerplate for Bedrock and Polly integration
Debug tricky payload formats for Claude and image models
Speed up Lambda function setup and S3 interactions
Amazon Q helped accelerate development, especially during early exploration of the Bedrock APIs and troubleshooting parameter configurations.
While this submission didn’t use Q Apps directly, it showcases what developers can build using AWS-native AI services — with Amazon Q Developer acting as the copilot behind the scenes.
What I Built
SceneCraft is an AI-powered storytelling experience that turns a short text prompt into a full sensory adventure. It generates a complete short story using Amazon Bedrock, breaks the story into scenes, and brings each one to life with:
Illustrations per scene (via generative image models)
Narrated voiceover using Amazon Polly
Emotion-based background music to match each scene’s mood
Scene-by-scene rendering in a cinematic layout
The experience feels like a lightweight, animated audiobook — making it fun for both kids and adults. You give it just a sentence, and in return, you get an immersive, narrated story complete with visuals and sound.
It’s designed to feel magical, yet it's entirely powered by AWS-native AI services.
Demo
?
Code Repository
?
How I Used Amazon Q Developer
I used Amazon Q Developer inside the AWS Console and VS Code extension to:
Scaffold AWS SDK usage quickly
Generate boilerplate for Bedrock and Polly integration
Debug tricky payload formats for Claude and image models
Speed up Lambda function setup and S3 interactions
Amazon Q helped accelerate development, especially during early exploration of the Bedrock APIs and troubleshooting parameter configurations.
While this submission didn’t use Q Apps directly, it showcases what developers can build using AWS-native AI services — with Amazon Q Developer acting as the copilot behind the scenes.