Abstract:
The objective of this project is to develop a database driven antibiotics management
system that works on a real time collected data or information. This system is designed
to customize the network for the community of patients who are in Covid-19 condition
and also for those who were treated from Covid-19 in the past. In this system, we make
use of real time data and enables the system to make real time decisions. The system
architecture is capable to handle the processing arguments between the real live stock
and predicted stock. This system is used to overcome the number of problems such as,
taking antibiotics too often or for the wrong reasons can change bacteria so much that
antibiotics don't work against them. This is called bacterial resistance or antibiotic
resistance. Moreover, we make use of these application to avoid antibiotics
Antibiotics saves the lives so it is very important in case of emergency natural calamity
or any other large scale life destruction event occur. We are at the point where AI is
essential for virtual warehouses and, this system will also visualize the number of
registered and recovered cases, that represents the amount oftraffic on our Web/Android
applications, that feature would help the health governing bodies to take actions
according to situation because all registered cases have been verified by physical expert
system of our application. Design pattern plays a key role in working managing and the
modification of the application on later stages when changes needed, because future
accommodations depends on future scenarios and atmosphere that cannot predicted
before but, recommendations for future development and conclusions are also included
in the report. We mentioned some of recommendations or advanced features for the
future by analyzing some similar cases of past. Our system is a hybrid of the two
platforms. Furthermore, we would send enrolled patients a regular activity chart through
email to help them manage their quarantine time.
