> We have a good amount of traffic
> We have valid information about users, whether they have COVID or not

> Notifying users when they crossed path with a COVID suspected person(or COVID confirmed person)
> If a User gets COVID+ve then our platform will inform all the other Users
  who have crossed paths with that person in the last 15 days.

> we are going to track Users location in the Back-End using REDIS and it's
  tools.
> we should maintain a record of all the other users a user has
  crossed-paths with.
> Each and every user has his own risk factor which lies between 0-10.
   0 is not likely to have COVID & 10 is most likely to have COVID.
> If a User 'A' has crossed-paths with another user 'B' then on both of
   their records both of the users get registered.
> Both the users also have their own risks 'Ar' & 'Br'.
> We made a model which would tweak the risk factors of both the Users
   depending on many factors proximity(distance between infected and user
   their age, their comorbidities(like diabetes,bp etc.) and more.
> In case a User who is using the app is tested out to be COVID+ve.
    the app informs all other users with whom this user has crossed paths
    with in the last 15 days.

> We have implemented User authentication.
> We have made a chatbot for COVID Info.
> We made a ML model which will tweak the riskFactor in Users profile.
> we are tracking the Users location in the backend.
   and we have an algorithm which gives us the list of people next to a user
   in a particular radius.
> We have put salt encryption over Users sensitive data.

> We need to connect the REDIS backend to the front-end and have
    location comunicated.
> We need to integrate the RiskFactor ML model in the back-end.
> And a few bugs to be resolved.

  1. Jaideep C, Harshita Marupaka: Backend
  2. Shruti Srivastava, Mallika Patil: Frontend
  3. Shruti Srivatsan: Machine Learning