Edit Django Dashboard & Fully Test Login System

I have a dashboard built in Django and JavaScript, I need someone with experience in both these languages to help finish it off and add the finishing touches to the project. Most of this project involves recycling code that already exists; I would ideally like updates as often as possible and for this to take no more than a week at most – as this work has a deadline attached, if the development takes longer than this the project will not be able to be used. When user logs in they are redirected to dashboard if they are part of a user group called 'dashboard' Registration / Login system needs to be fully tested and working; some examples of things that need to be done: - Registration emails need to be made and tested - Password reset page and email functionality needs to be tested and created if not working already - If a user logs in and is not part of the dashboard group, i need a message to pop up saying contact admin to assign them a dashboard etc. (can copy the html from the logout page and replace logout message with this error msg) The dashboard: The dashboard needs several edits made; Upon loading the project and logging in; You will see a view that has three tabs, ‘Matches’ ‘Models’ and ‘Features’ with a logo to the right of everything, I need the logo moved to the left of everything on the nav bar. I need Features tab and all code/view to be duplicated to create a Fourth Tab called ‘Ensembles’ Once that has been completed I need to duplicate all those tabs and nest each set of tabs in a dropdown just to the left of the logo and to the right of the tabs that are being nested ‘Matches’ ‘Models’ etc. The dropdown should have two views, ‘buy’ & ‘sell’ each of these views should have a copy of identically looking (but have the ability to pull data from different sources), ‘Matches’ ‘Models’ ‘Features’ and ‘Ensembles’ tabs within the nav bar. I will need the parts of the code where the data sources are being input to be clearly commented in the code so I can find and change these with ease. Finally, I will need a guide made on how to deploy the project to either AWS elastic beanstalk or an EC2 container.