Corona-War

ELEVATING SURVIVAL RATE BY ALLOCATION OF BEDS TO PATIENTS WITH HIGHER CHANCES OF RECOVERY AND GUIDE PATIENTS TO NEARBY HOSPITALS WHICH HAVE AVAILABILITY OF BEDS DURING CRITICAL TIME.

Commit 1

added homepage added corona cases tracker added animations added google translate plugin sitewide

Commit 2

adding the dataset - normalized and cleaned adding the code to do basic inference on dataset about the plots and basic modifications.

Commit 3

added 4 files (Form.php, header.php, footer.php, main.js)

Fuctions -

1. Form.php : Shows a materialistic form as well as an integrated Worldwide Corona Tracker. The form is used to take user information as well as their symptoms response.
2. Header.php : Integrated accessibility features along with a universal Language Translator and a Dark Mode feature.
3. Footer.php : Credentials and basic footer.
4. Main.js : This has two functions, First is to take the entries of the form and update it in the Firebase Realtime Database. Second Function is to generate a unique key ID for the User which can be used for retaining the results stored in the Firebase by the AI Model.

Commit 4

added 1 file (query.py)

Fuctions -

1. Python Code to query the database - Firebase.
2. Update the variable to send to the model for generating the inference part

Commit 5

Plotting, Analysing, Scaling, transformation of dataset

Commit 6

Added 2 files (stat.php, Read.js)

Functions -

1. stat.php : Contains the code for displaying the data from the Firebase when the User enters the key.
2. Read.js : Contains the backend code for retreiving the fields of the entered key from the Firebase database.

Commit 7

modified 1 file (query.py)

Fuctions -

1. Implemented twilio api to send text message to users the key generated and also updating them about the updates on the inference results.

Commit 8

1. added form and result pages
2. integrated them with the homepage
3. integrated them with firebase

Commit 9

1. made the form page responsive

Commit 10

added 2 files (hospital_data.xls and firebase_hospital_data.py)

Fuctions -

1. Excel sheet made using a webcrawler for the website : https://covid.uhcitp.in/status/dashboard
2. Using the python script upload the data to the firebase-database.

Commit 11

1.Selecting the model and fine tuning

Commit 12

Added 2 files (firebase_query.py & joblib_modelv2.joblib)

Fuctions -

1. The firebase_query.py takes the form's input and then passes it to our ml model. The ML model then generates a inference out of the data and pushes it to firebase.
2. The twilio api is used to send messsages to the users about the key details and once the inference in updated.
3. The model's file is generated from the joblib library which exports the model and then it can be used in various scripts.

Commit 13

Modified 1 file (query.py)

Fuctions -

1. Integrated sendgrid api to send emails.
2. Updated the code-visibilty to proper formattings.

Commit 14

Modified 1 file and added 1 file (firebase_query.py & joblib_modelv3)

Fuctions -

1. Updated the training data to work on weightage based methods of the various features.
2. Updated the code in firebase_query to send the correct values to firebase.

Commit 15

final commit for front end and backend

Commit 16

Uploaded 1 file (Solace(Final PDF)).pdf:

Function : presentation for pitching