Business Card Parser

This project is a business card parser that leverages AI to extract information from business cards and store it in a structured format. It showcases a combination of backend, DevOps, and AI skills.

Features

• Upload Business Card Images: Users can upload images of business cards.
• AI-Powered Information Extraction: The application uses AI to parse the uploaded images and extract key information such as name, title, company, phone number, email, and website.
• Google Sheets Integration: The extracted information is automatically saved to a Google Sheet for easy access and management.
• Cloud-Native Deployment: The application is designed to be deployed on Google Cloud Platform using Docker and Google Cloud Build.

Tech Stack

• Frontend: Next.js, React, TypeScript, Tailwind CSS
• Backend: Next.js API Routes, Node.js
• AI: OpenAI Vision for image parsing
• Database: Google Sheets
• DevOps: Docker, Google Cloud Build, Google Cloud Run

Getting Started

Prerequisites

• Node.js
• pnpm
• Google Cloud SDK

Installation

1. Clone the repository:

   git clone https://github.com/your-username/business-card-parser.git

2. Install the dependencies:

   pnpm install

3. Set up your environment variables by copying .env.example to .env and filling in the required values.
4. Run the development server:

   pnpm dev

Deployment

The application can be deployed to Google Cloud Run using the provided cloudbuild.yaml file.

Project Structure

• app/: Contains the Next.js application code.
• app/api/: Contains the API routes for handling file uploads, AI processing, and Google Sheets integration.
• components/: Contains the React components used in the application.
• lib/: Contains the core logic for interacting with Google APIs and OpenAI.
• cloudbuild.yaml: Configuration file for Google Cloud Build.
• Dockerfile: Dockerfile for building the application container.