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Technologies Involved:
nodejs
ANGULAR
Javascript
Area Of Work: Web Development Amazon Cloud Web Development
Project Description

Biogas Engineering is a premier EPC company focused on biogas collection and utilization projects.  Biogas Engineering approached Oodles to enhance their monitoring capabilities for biogas plants. The objective was to implement Line and Live Graphs using D3JS in an AngularJS application. This integration aimed to provide a real-time visualization tool, enabling users to monitor plant performance.
Scope Of Work

Thee client approached Oodles to enhance the monitoring capabilities of their biogas plants by developing an advanced visualization tool. The primary goal was to implement Line and Live Graphs using D3JS within an AngularJS application, addressing the need for real-time performance analysis. Oodles provided a solution that integrated these technologies, enabling Biogas Engineering to visualize plant status effectively. This project covered areas of work such as application development, data visualization, and real-time monitoring. The services included technical consultation, development of interactive graphs, and user interface design, ultimately empowering Biogas Engineering to make informed decisions and optimize plant operations.
Our Solution

We created a comprehensive solution that enables the client to visualize and monitor the status of their Biogas Plants effectively. The interactive nature of the graphs allows for better data analysis and decision-making, ultimately optimizing the performance and utilization of the biogas resources. Our solution for the Biogas Engineering project includes the following services and technologies:

  • Integrated D3JS, a powerful data visualization library, into the AngularJS application. This allows us to create dynamic and interactive line and live graphs that visually represent the status of the Biogas Plants.
  • Utilized Angular8, a popular JavaScript framework, for the development of the web application. 
  • Leveraged the capabilities of JavaScript to handle the logic and interactivity of the graphs.
  • Employed Node.js to handle server-side operations and facilitate smooth communication between the frontend application and the data sources. 

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