8000 GitHub - thatguymalek/Bridge-maintenance: Predictive maintenance system for monitoring bridge health using IoT sensors and machine learning. It includes an Angular-based web app for real-time data visualization and alert management, with a Node.js (Express) backend for API and data processing. The goal is to enhance safety and optimize maintenance scheduling for infrastructure.
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Predictive maintenance system for monitoring bridge health using IoT sensors and machine learning. It includes an Angular-based web app for real-time data visualization and alert management, with a Node.js (Express) backend for API and data processing. The goal is to enhance safety and optimize maintenance scheduling for infrastructure.

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# ProjetPontBizerte This project was generated using [Angular CLI](https://github.com/angular/angular-cli) version 19.0.0. ## Development server To start a local development server, run: ```bash ng serve ``` Once the server is running, open your browser and navigate to `http://localhost:4200/`. The application will automatically reload whenever you modify any of the source files. ## Code scaffolding Angular CLI includes powerful code scaffolding tools. To generate a new component, run: ```bash ng generate component component-name ``` For a complete list of available schematics (such as `components`, `directives`, or `pipes`), run: ```bash ng generate --help ``` ## Building To build the project run: ```bash ng build ``` This will compile your project and store the build artifacts in the `dist/` directory. By default, the production build optimizes your application for performance and speed. ## Running unit tests To execute unit tests with the [Karma](https://karma-runner.github.io) test runner, use the following command: ```bash ng test ``` ## Running end-to-end tests For end-to-end (e2e) testing, run: ```bash ng e2e ``` Angular CLI does not come with an end-to-end testing framework by default. You can choose one that suits your needs. ## Additional Resources For more information on using the Angular CLI, including detailed command references, visit the [Angular CLI Overview and Command Reference](https://angular.dev/tools/cli) page. # Bridge-maintenance

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Predictive maintenance system for monitoring bridge health using IoT sensors and machine learning. It includes an Angular-based web app for real-time data visualization and alert management, with a Node.js (Express) backend for API and data processing. The goal is to enhance safety and optimize maintenance scheduling for infrastructure.

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