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WIP : Using Haversine formula and folium maps in python, we aim to create a system to track citizens and send them alerts in a pandemic scenario, like the COVID-19. For this system, we have developed a python script, an android app and a Firebase DB
nidhikulkarni21/Citizen-tracking-and-alert-system-for-future-pandemic-response
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----CITIZEN TRACKING AND ALERT SYSTEM FOR FUTURE PANDEMIC RESPONSE---- ************************************************************************************************** @ authors : Akash Apturkar Aqsa Fridaus Khan Arush Oli Nidhi Kulkarni ----------------------- Steps for installing :- ----------------------- For executing the code, run the main_code_updated.py. For that the prerequisites need to be completed: Firebase credentials of the database need to be supplied in the main_code_updated.py and also the android app (download and open the .aia file in MIT appinventor for that) The following modules need to be installed using pip in the command prompt before running the main code: pip install folium pip install pandas pip install requests pip install python-firebase note:- Edit line no 11,12 in main code to add your Firebase credentials ---------------------------------------------- ----If firebase is having problem in import---- ---------------------------------------------- then go to your file where firebase is saved then 1)rename .async into .async_ 2)open _ini_file and change .async into .async_ 3)open firebase.py and change .async into .async_ because of .async is the keyword now is current version in python For Android app : ----------------- For editing: Download Big_data.aia file, open MIT app inventor website -> login -> in my projects select "import .aia from computer" view and edit the project in MIT app inventor For testing: Download Big_data.aia file in smartphone install open ->select register new user -> enter name and set password login tracking begins
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WIP : Using Haversine formula and folium maps in python, we aim to create a system to track citizens and send them alerts in a pandemic scenario, like the COVID-19. For this system, we have developed a python script, an android app and a Firebase DB
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