IoT for Education

IoT Learning made simple with most powerful tools for the MQTT.
Allow students to start learning by doing smart exercises for any industrial use cases.
Empower students to create commercial applications that can sell during their college days.

IIT Delhi

Deakin University

CMERI

KL University

IoT Learning made Simple without Hardware

IoT Simulator helps students to understand the data acquisition from various sensors and the kind of data needs to be acquired and sent. The data relationship in real time scenario. All the kind of edge data requirement analysis can be done without any hardware.

Conduct DIY Machine Learning Course

MQTT Broker python extensions enables students to analyse and prepare the data in the format needed for the deeper data analysis. Integrate the various Machine learning algorithms and python based ML packages like Scikit learn, Keras, etc to drive powerful data analysis as part of your curriculum.

Data based AI decision making

The custom store module of the MQTTRoute helps you integrate the python code into the MQTT Broker to drive decisions on the new data received from the edge devices and activate other devices to send notifications to the UI or to the mail notifications as required.

Build Commercial and Research oriented Solutions

Colleges and Institution can build Student Incubation program to expose their students to a greater IoT environment to build research and commercial application that can serve humanity for a larger goal. It is a goal oriented study with a deeper understanding of a wider range of technologies.

Testimonial

"In our process of enhancing IoT laboratory and real time application knowledge, We have signed up for IoT for Education pack of Bevywise Network which provides complete end to end software tools for the IoT lab for practicing data design to the complete application. The workshop and training provided by well experienced Bevywise team for our faculties, research scholars and students as part of the product was very much simplified and helped us get started with ease with the tools and real time projects."

Dr. Sharmila Sankar, Professor & Dean.

School of Computer Information and Mathematical Sciences,

BS Abdur Rahman Crescent Institute of Science and Technology.