{"id":23160961,"url":"https://github.com/milan-960/ai-powered-image-recognition","last_synced_at":"2026-04-16T02:32:06.596Z","repository":{"id":265618771,"uuid":"864546537","full_name":"Milan-960/AI-Powered-Image-Recognition","owner":"Milan-960","description":"This repository contains a Progressive Web App (PWA) that leverages TensorFlow.js and the MobileNet model to perform real-time image classification. 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Users can upload images, and the app will identify objects within the images, providing class names and confidence scores.\n\nFeatures:\n\n- **Image Upload**: Upload any image and receive object recognition results powered by the MobileNet model.\n- **Real-Time Classification**: Provides object class names and confidence levels for each prediction.\n- **Progressive Web App (PWA)**: Installable on devices and works offline with caching through service workers.\n- **Responsive Design**: Optimized for both desktop and mobile experiences.\n- **Light/Dark Mode Support**: Automatically adapts to the user's system theme preferences.\n- **Technologies Used**: Next.js: Frontend framework with server-side rendering and file-based routing.\n- **TensorFlow.js**: For running the MobileNet model directly in the browser.\n- **Tailwind CSS**: For styling and responsive design.\n- **Next-PWA**: To enable Progressive Web App functionality, including offline caching and service workers.\n\n![img](./SS/home.png)\n\nThis is a [Next.js](https://nextjs.org) project bootstrapped with [`create-next-app`](https://nextjs.org/docs/app/api-reference/cli/create-next-app).\n\n## Getting Started\n\nFirst, run the development server:\n\n```bash\nnpm run dev\n# or\nyarn dev\n# or\npnpm dev\n# or\nbun dev\n```\n\nOpen [http://localhost:3000](http://localhost:3000) with your browser to see the result.\n\nYou can start editing the page by modifying `app/page.tsx`. The page auto-updates as you edit the file.\n\nThis project uses [`next/font`](https://nextjs.org/docs/app/building-your-application/optimizing/fonts) to automatically optimize and load [Geist](https://vercel.com/font), a new font family for Vercel.\n\n## Learn More\n\nTo learn more about Next.js, take a look at the following resources:\n\n- [Next.js Documentation](https://nextjs.org/docs) - learn about Next.js features and API.\n- [Learn Next.js](https://nextjs.org/learn) - an interactive Next.js tutorial.\n\nYou can check out [the Next.js GitHub repository](https://github.com/vercel/next.js) - your feedback and contributions are welcome!\n\n## Deploy on Vercel\n\nThe easiest way to deploy your Next.js app is to use the [Vercel Platform](https://vercel.com/new?utm_medium=default-template\u0026filter=next.js\u0026utm_source=create-next-app\u0026utm_campaign=create-next-app-readme) from the creators of Next.js.\n\nCheck out our [Next.js deployment documentation](https://nextjs.org/docs/app/building-your-application/deploying) for more details.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmilan-960%2Fai-powered-image-recognition","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmilan-960%2Fai-powered-image-recognition","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmilan-960%2Fai-powered-image-recognition/lists"}