Case Study

Pathogen Detector

Overview:

Developed a web-based dashboard to represent the data captured by the devise related to airborne pathogens as detected, identified and characterized by the pathogen devise. The application recognizes the difference between Mold, Dust mites, Pollens and Dander.

Problem Statement:

There is a need for a reliable and efficient system that can quickly detect the presence of harmful pathogens in various environments, such as hospitals, food processing facilities, and public spaces. Traditional methods of pathogen detection can be time-consuming and require specialized expertise, making it difficult to respond quickly to outbreaks and prevent the spread of infection.

Solution:

Developed the application to detect, identify and characterize airbone pathogens in real-time using patented pathogen tracker.

Services:

1. UI/UX Design:

Developed the dashboard designs in a way that it provides instant information to the stakeholders.

2. Web based backend development:

The backend has been developed using Nodejs and is very comprehesive. The dashboard screen gives the clear glance of the user's vital in real time the health coach.

3. API Development:

The RESTful APIs were developed which were secured using token-based authentication implemented over middleware in Microservice enabled Node architecture.

Tech Stack: