GenAI Story Weaver: Automated Daily Bedtime Tales
A cloud-native application leveraging Generative AI (OpenAI & Anthropic LLMs) to automatically create and publish unique daily bedtime stories with images, deployed on a robust AWS serverless and containerized infrastructure managed with Terraform.
Project Overview
GenAI Story Weaver is a personal initiative showcasing advanced application of Generative AI and modern cloud-native architectures. The core of the project is an automated pipeline that crafts unique, engaging bedtime stories each day, complete with custom-generated imagery, and publishes them to a dynamic web interface.
The backend leverages Large Language Models from OpenAI and Anthropic for sophisticated story narrative generation and compelling visual creation, ensuring fresh and diverse content daily. This AI-driven content creation is orchestrated through a serverless architecture on AWS, utilizing Lambda functions for event-driven processing and AWS Fargate for containerized application components. The entire system, deployed and managed via Terraform, is designed for high availability, scalability, resilience, and cost-efficiency, incorporating Application Load Balancers for traffic distribution. Continuous integration and deployment are managed through GitHub Actions, ensuring automated builds, testing, and deployments.
The frontend, built with Next.js, provides a responsive and engaging user experience, consuming the AI-generated content through a serverless API layer built with Amazon API Gateway and Lambda. This project demonstrates an end-to-end application of AI in content creation, coupled with sophisticated cloud deployment and operational practices.
Key Features
- Automated Daily Content: Generative AI pipeline using OpenAI and Anthropic LLMs for daily creation of unique bedtime stories and accompanying images.
- Serverless Backend: Core logic and AI orchestration run on AWS Lambda, ensuring scalability and pay-per-use efficiency.
- Containerized Components: Utilizes Docker and AWS Fargate for deploying specific application services, offering portability and consistent environments.
- Cloud-Native Architecture on AWS: Designed with API Gateway, S3 (for story/image storage), DynamoDB (for metadata/content management), Application Load Balancer, and other core AWS services.
- Infrastructure as Code (IaC): Entire AWS infrastructure provisioned and managed using Terraform.
- CI/CD Automation: Automated build, test, and deployment pipelines via GitHub Actions.
- Dynamic Frontend: Next.js (React) application for SSR or SSG of stories, ensuring optimal performance and SEO.
- API-Driven: Decoupled architecture with a serverless API layer for content delivery.
Technologies Used
Project Details
Date
2023
Role
Sole Developer, Architect & AI Engineer
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