BPSense

Problem Statement

The rise of fraud committed by individuals on behalf of census officers is a serious concern, giving rise to the need for a solution that can protect the public from such actions. From there the BPSense application was born, an innovation designed to assist the public in distinguishing genuine census officers from fake ones. This application makes it easy for people to verify the authenticity of census officers who come to their homes, so that people can feel safer and more protected.

Solution And Approach

The solution to overcome this problem is to present the BPSense application that uses Progressive Web App (PWA) technology, so that users can access it directly through the browser without the need to install the application. In addition, BPSense utilizes Teachable Machine from Google to support the face recognition process. On the frontend, the application was developed using React PWA, while the backend uses Laravel, which ensures optimal performance and reliability

Contribution

My contribution to this project is as a backend developer, where I am responsible for providing the API used by the frontend. This API serves to register employees who are registered as official employees of the survey body. Through the API, employee data can be managed easily and integrated with the system efficiently, thus simplifying the process of employee registration and verification in the BPSense application.