Inclusive Development Using Connected Devices and Data Analysis

The covid-19 pandemic has exposed the state of health systems all over the world. It can be observed that COVID tests are not being done even on mainstream and marginalized people, who are the worst sufferers of this pandemic. This is due to the fact, that the health care facilities are already unaffordable for many, and now it is out of reach altogether. Specifically, the unprivileged section of the society which is also referred to as shadow economy, these people are those who are not monitored by any government agency, does not comprise of any credit history to avail various government non-government benefits as well. IoT sensors and mobile technology prove to be a powerful tool for them to be financially included and creating a wave towards the transition to formality. So, these people can avail of healthcare benefits. In this research work, a sensor-based framework has been proposed so that people with no documents can also be trusted and brought into the mainstream economy with full fundamental rights. The paper proposes a methodology for computing trust and value without the use of financial instruments and collateral grantees, this is done by using sensors, mobile tracking, and data analysis from which a trust value is assigned to a marginalized individual. This trust value score will aid the beneficiary to avail various public and private sector facilities and become a case of inclusive development.