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https://github.com/akshaypx/watchtower-ai

Detect People, start auto recording, click pictures and save it to your device. Works on both mobile and desktop. It uses cocossd Tensorflow Js model for Object Detection. Next js for frontend.
https://github.com/akshaypx/watchtower-ai

coco-ssd cocossd live-detection nextjs object-detection tailwindcss tensorflow tensorflowjs typescript

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Detect People, start auto recording, click pictures and save it to your device. Works on both mobile and desktop. It uses cocossd Tensorflow Js model for Object Detection. Next js for frontend.

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README

        

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).

## Getting Started

First, run the development server:

```bash
npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev
```

Open [http://localhost:3000](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`](https://nextjs.org/docs/basic-features/font-optimization) 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:

- [Next.js Documentation](https://nextjs.org/docs) - learn about Next.js features and API.
- [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!

## 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.