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Smart waste management system is a web application with which the city administration can intelligently manage the garbage disposal process

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Smart waste management system

Smart waste management system is a web application with which the city administration can intelligently manage the garbage disposal process. The application allows monitoring the current fill level of any trash bin in the city. Application allows creation of smart routes for garbage trucks so that only the trash bins that really need to be picked up are picked up.

Tech stack

  • React.js
  • Node.js
  • Express.js
  • MySQL
  • SocketIO
  • Arduino

Screenshots

To be added

Video presentation

To be added

Installation

  1. Clone the repository
git clone https://github.com/Elnur1337/smart-waste-management-system.git
  1. Navigate to ./database
cd ./database
  1. Run npm install command
npm install
  1. Run createScript.sql in MySQL Workbench.
  2. Replace MySQL config in loadData.js with your config.
  3. Run loadData.js with command
node loadData.js
  1. Run updateDatesToCurrentDates.sql in MySQL Workbench.
  2. Run updateLocations.sql in MySQL Workbench.
  3. Navigate to ./database/storedFunctionsAndProcedures
cd ./database/storedFunctionsAndProcedures
  1. Run trashBinsCurrentState.sql in MySQL Workbench.
  2. Navigate to ../../client
cd ../../client
  1. Run npm install command
npm install
  1. Replace Google Maps API key in Map.jsx with your key.
  2. Open second terminal.
  3. In second terminal navigate to ./server
cd ./server
  1. In second terminal run npm install command
npm install
  1. Replace MySQL config in ./server/database/dbConfig.js with your config.
  2. In first terminal run npm start command
npm start
  1. In second terminal run npm start command
npm start
  1. Open your browser and navigate to http://localhost:3000/.

Arduino setup (Optional)

To be added

Usage

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Contact

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Acknowledgements

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Smart waste management system is a web application with which the city administration can intelligently manage the garbage disposal process

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  • JavaScript 86.8%
  • HTML 8.2%
  • CSS 5.0%