The problem Zeus solves

In current pandemic situation it is very important to be carefull while we go ouside and continue our day to day work. After the lockdown was lifted the number of cases shot up, just because people were not careful enough. It is very important to wear mask and sanitize our hands time to time in order to be safe. Zeus helps us in doing so. The alarm feature of the app reminds us to wear the mask and use sanitizer every 30 mins when we are more than 100m away from our home. We can check on the mask and the sanitizer prompt so that the app will understand that we are currently equiped with the above items.

The help section can be used by the user to chat with users in the vicinity of 20 km radius and the send coordinates option can be used to share the current location in case of need. It also has a privacy setting option which the user can use to select if he/she is okay with sharing the information.

We have also added prediction feature which can predict the number of deaths,cases and recovery per day. They are represented through graphs Screenshots given below. It uses various machine learning models like XGBOOST, AutoReg for time series prediction. We have used https://api.covid19india.org/data.json for getting the data. this prediction could help people of India to know the predictions for next 10 days and could be really helpful for research purposes and to take take good care of themselves

Challenges we ran into

We faced major challenges in our prediction section because of the vast variation of available data. We also faced challenges in integrating our API within the app.
Also implementing features such as the location based alarm was quite difficult cuz we tried to minimise the amount of time gps would stay on to make our app less battery-draining.
Finding users within the location was also quite a learning experience for me and my teammates.
Plotting graphs and from json data also made us learn a lot.