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Utilizes Google Gemini API to detect email scams based on image uploads.

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WishingWell13/Scallywag-Scam-Scanner

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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.

How to Use Webpage

  1. Depending on your device:
  • For Windows: Use the Snipping tool to take a snippet of the text message you want to analyze and save it.
  • For Mac: Press and hold these three keys together: Shift, Command, and 3 to take a screenshot of the text message and save it.
  1. Click on the "select file" button and select your text message.
  2. Click on "get pirate's opinion" to analyze your text message.
  3. Profit! Now you know the chance your text message is a scam and you can act accordingly!

You can start editing the page by modifying app/page.js. The page auto-updates as you edit the file.

This project uses next/font to automatically optimize and load Inter, a custom Google Font.

Learn More

To learn more about Next.js, take a look at the following resources:

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 details.

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Utilizes Google Gemini API to detect email scams based on image uploads.

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