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Aiverse

Web application for generating social media posts and image processing powered by AI.

Role
Software engineering
Period
2023-01 — 2023-10
GitHub Repository
Ai

01

Challenge

The 'Aiverse' aimed to use AI to generate social media posts and process images. The project used Vue.js for the frontend, AWS Lambda for serverless backend functions, and Docker for containerization. The application also integrated with IPFS via Infura for decentralized file storage. The CI/CD pipeline was managed using GitLab CI, ensuring automatic and smooth deployments.

02

Approach

Develop an AI-powered system to generate social media posts and process images. Implement a serverless architecture using AWS Lambda for scalable backend functions. Integrate with IPFS via Infura for decentralized file storage.

Project Goals

AI-Powered Post Generation

Develop an AI-powered system to generate social media posts and process images.

Serverless Architecture

Implement a serverless architecture using AWS Lambda for scalable backend functions.

Decentralized Storage

Integrate with IPFS via Infura for decentralized file storage.

03

Impact

  • AI-Powered Post Generation
  • Serverless Backend
  • Decentralized Storage

Technologies Used

Vue 3AWS LambdaDockerIPFSGitLab CI/CD

Key Features

AI-Powered Post Generation

Generate social media posts and process images using AI.

Serverless Backend

Scalable backend functions deployed using AWS Lambda.

Decentralized Storage

Store files in a decentralized manner using IPFS via Infura.

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