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This is a [Next.js](https://nextjs.org/) project bootstrapped with [`create-next-app`](https://github.com/vercel/next.js/tree/canary/packages/create-next-app). # GSEPS Control Center
## Getting Started ## 프로젝트 소개
First, run the development server: - 카메라에서 수집된 사진 이미지를 inference 한 결과 이미지와 결과 데이터를 히스토그램 차트로 보여주는 Control Center 화면
```bash ### 배포 주소
npm run dev
# or
yarn dev
# or
pnpm dev
```
Open [http://localhost:3000](http://localhost:3000) with your browser to see the result. - [GSEPS Control Center](http://13.209.39.139:31985/dashboard)
You can start editing the page by modifying `app/page.tsx`. The page auto-updates as you edit the file. ### 기술 스택
This project uses [`next/font`](https://nextjs.org/docs/basic-features/font-optimization) to automatically optimize and load Inter, a custom Google Font. - react
- next.js
- typescript
- tailwindCSS
- nivo chart
## Learn More ### 화면 구성
To learn more about Next.js, take a look at the following resources: <img src="./public/readmeImage.png">
- [Next.js Documentation](https://nextjs.org/docs) - learn about Next.js features and API. ### 주요 기능
- [Learn Next.js](https://nextjs.org/learn) - an interactive Next.js tutorial.
You can check out [the Next.js GitHub repository](https://github.com/vercel/next.js/) - your feedback and contributions are welcome! - 카메라에서 수집된 사진 원본 이미지, inference 결과 이미지 제공
- inference 결과 데이터에 따른 히스토그램 차트 제공
## Deploy on Vercel
The easiest way to deploy your Next.js app is to use the [Vercel Platform](https://vercel.com/new?utm_medium=default-template&filter=next.js&utm_source=create-next-app&utm_campaign=create-next-app-readme) from the creators of Next.js.
Check out our [Next.js deployment documentation](https://nextjs.org/docs/deployment) for more details.

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