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Simplified Akinator

A simplified akinator , made to learn next.js

Data

The data would contain fictional characters. Type of data to collect is unknown.

Algorithm

could be done using decision trees, but for now its extremely simple: on each node: the feature that is chosen to split on is the one that would result in the most unique attributes. this can cause issues with features that have a lot of unique values since lots of options would be displayed, so when choosing features the choice for common attributes were chosen.

Frontend

Based on the algorithm explained above, the questions would be presented to the user.

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.

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

This project uses next/font to automatically optimize and load Geist, a new font family for Vercel.

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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