I contributed to the platform's development, using Java for a strong and scalable backend. Working with Adobe Experience Manager (AEM), I improved content management and integrated digital assets for a personalized user experience. I also implemented the Adobe Client Data Layer to track data and enhance analytics, informing our decisions. Utilizing Webpack for efficient asset management, and Optimizely for A/B testing, allowed us to continuously refine our platform and increase user engagement through data-driven insights.

We use Vega Aries IoT v2.o as the microcontroller and with it we have connected turbidity and pH sensor. This is used to collect both the parameters from the water and show it in a dashboard

Hardware Components

The dashboard is built using HTML, CSS and JavaScript. It shows the real-time data of the water quality parameters such as pH and turbidity. It also shows the historical data of the water quality parameters.

Dashboard

The device generates data reports of the water quality parameters. The data reports are generated in the form of graphs and tables.

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Project Description

Tech Stack Skills

Technologies used in the development of the project.

Java

Webpack

Open Graph

JQuery

Screenshot Project