adorsho praniSheba

Machine Learning (ML)

The Machine Learning team at “adorsho praniSheba Ltd” is dealing with the challenges in the AgriTech sector of Bangladesh and enriching this industry using machine learning and deep learning technologies.

The state-of-the-art cattle identification system developed by praniSheba enables the farmers to go through a secure and reliable process for both enrollments and claims of cattle insurance. Besides, this team has worked on sensor-based data predictive analysis, data visualization, image processing, object detection, and Optical Character Recognition (OCR) in various projects. Knowledge, team spirit, openness, and collaboration are the main work methodologies of this team.

Internet of Things (IoT)

The Internet of Things (IoT), refers to the overall network of interconnected devices and the technology that enables communication between devices and the cloud. The IoT team at “adorsho praniSheba Ltd” has developed praniSheba Prohori, an IoT based Remote Cowshed Monitoring System. This system has won the Industrial - Agriculture category of the BASIS national ICT award 2022.

Furthermore, the IoT team introduced and developed its own Bolus for monitoring cow health, as well as a base station for connecting up to 100 sensor nodes. Hardware Design, Printed Circuit Board (PCB) design, firmware development, device manufacturing, casing 3D design, and hardware communication with servers and backend systems are the core responsibilities of this team.

Python

Python developers at praniSheba works with the versatile django framework to develop various backend systems and API. At praniSheba, the backend team uses Django, a high-level python web framework, and Django REST Framework, a powerful and flexible toolkit to build secure and maintainable web applications and web APIs promptly, securely, and scalably. These backend systems integrate the Machine Learning Models and IoT devices data to flourish and are publicly usable through the exposed APIs. adorsho praniSheba's Python backend team works as a bridge between web or mobile apps, ML models, and IoT devices for users.

For the Cattle identification system, the backend receives data from users, sends it for processing to ML models, and returns feedback to the users. praniSheba Prohori's data is continuously stored in the database and eventually served by the backend system APIs to the users for monitoring. Thus the Python team plays a vital role in the overall system with their collaborative, open-to-learn nature.