Team-checkin-application

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Inspiration

It often became difficult to manage a team's availability for the work , that includes how many hours can the person work for this week and in which days they are available and in which particular task they are willing to work . It becomes difficult to keep track of many people and their availability details , so i thought of building an application that can solve the problem , and increase the productivity and remove the hassle

What it does

It is used for checking-in for team members .
It maintains two logs , one is a continuous log which holds log from the start of deployment and the other is weekly log , which will be recycled every week
Proxy Free , no one can check-in without entering proper passphrase(password)
It provides both dark , light and system default theme
It provides weekly stats
It provides the information of who updated and who has not updated , which can be further used to shortlist
We can download continuous and weekly logs
It also takes the details of their work availability

How we built it

Built using the programming language Python . Used Streamlit framework , Postgresql Database , Deployed on Heroku

Challenges we ran into

One challenge I ran into is to make the application understand that a particular day is weekend/weekday . It is required , to maintain weekly stats , weekly log and after everyweek new stats and new log generated.
The other challenge is that previously i have built such that the data is stored in the csv files . But since i have deployed on heroku , In heroku after 1.5 hr of inactivity the application will go into sleep , so after if we try to access the application , the application will be back in its initial state(the initial state after deployment) so all the information will get deleted . To overcome this i need a storage bucket , but since it requires credits and i dont have one , i need to look into the free options , so i found that heroku will provide postgres database for free , and then i decided to use the heroku add-on with converting the data from csv to db at required times , thus overcoming the storage problem.

Accomplishments that we're proud of

A simple yet powerful team-productivity application which requires no cloud credits or extra money to use.

What we learned

I have learned a way to identify if a particular day is weekend/weekday . Overcoming Storage problem with no credits required , the way streamlit works.