For proposal

1. Presented by:
Roxas, Mary Antonette O.
Saraus, Al Zoren C.
Gabe, Juven
Cubillan, Leoner Vincent

2. BACKGROUND OF THE
STUDY
The pandemic has vastly affect the economy and people have
been given some travel advisories to avoid the spread of the pandemic.
The purpose of this study is to locate Covid-19 active cases base
on the records that has been given to the public with the use of Google
map. The proposed study will be integrated with Google map that will
indicate the location of the area where Covid-19 positive patients
location. The study aim to help users to be more aware of the pandemic
and to be alerted if they are near at the place where Covid-19 positive
are isolated.
The application has also a feature where users can fill up forms
and can be use as information's where it can be scanned using a QR code
so that it can help users a less time to fill-up forms in some
establishments that ask for there information, in these way it may
prevent the virus to spread because it will help them not to touch any of
the equipment that will be used in filling up an information.

3. Statement of the Problem
• Unaware if the place has
Covid-19 active cases
• Affected travels
• Arduous process of filling
up personal information

4. Comparison of Related Studies
TITLE FEATURE
QR Code Based Smart Attendance System
The proposed system is a couple of two
applications, one for generating the QR
Code by entering the student details and
second application for taking the
attendance and generating the attendance
in CSV or XLS format
A Google Map Based Social Network
(GMBSN) for Exploring Information about a
Specific Territory
users can choose their desired city of
interest from the list. The selected city will
be highlighted on Google map. After
choosing any city from the map, the user
will be able to select any category from the
list and start finding and sharing
information about the desired city of any
country.

5. AI-CovTrac:
Android-Based
mobile application

6. System Architecture

7. GUI OF THE APP