Home
wtrcoolr is a web app which allows group socialization and bond building through randomized videochats.
With the prevalence of remote work
We will need to:
- Make a Chrome extension that collects data
- Build a database to store user and browsing data
- Construct a Web application for visualization of and interaction with the collected browser data
- Decide how to handle privacy issues: ideally, store data on user machines and give them options to delete unwanted data
- Web Application
- User authorization: sign up and log in
- Users can create and join organizations that they are a part of
- Users with created organizations will be able to moderate their organizations
- Live video chatting for an initial 90 seconds with the option to extend for up to 5 minutes
- Both users must decline the call end to extend the call
- Pairing and scheduling algorithm
- Production README
- Chat functionality (Coming Soon)
- Organization Pages
User Auth Modal
Dashboard
Admin Dashboard
wtrcoolr’s core application is a Chrome extension, with a back end built on MongoDB to save user auth and browsing data. The extension will populate the database. The data will be collected using methods from various Chrome API’s: Tabs, History, Sessions, Windows and Storage are the most likely candidates.
Organizations set 'coolr time' where users can log in and be randomly paired with other members of their organizations.
Technical challenges:
Time synchronization User location data
The user data will be stored as documents. Each user document object will contain the following properties:
- name
- password_digest
- interests
- non-starters
- organizations as array of objectId references
- administrated organizations as array of objectId references
The organization data will be stored as documents. Each organization document object will contain the following properties:
- name
- coolr_hours (organization's active hours)
- administator(s) as array of objectId reference(s)
- members as array of objectId references
- previous day member count
Technical challenges:
Maintaining accurate timezone and location data within database
The data will be visualized in a Web application using the React library. Users will have a dashboard showing administrated organizations. Users will also be able to see coolr hours of organizations they are a part of. Video chat components.
Technical challenges:
- Reading data from MongoDB database and organizing for display
- WebRTC video chat components
- All members of the team read MERN tutorials
- Set up database
- Wrote proposal Readme and planned work for the week
- Implement basic setup of project.
Theo Mantz, Everett Smith, Jack Egbert, Gino Reyes
Backend: Jack setting up database/server and user auth Frontend: Gino working on getting UI wireframe setup Research: Theo looking into Socket.IO video chat function Generalist: Everett Socket.IO research.
Backend: Jack and Theo implement backend routes/models for WebRTC connections Frontend: Gino Work on dashboard / session form / chat window / splash page Generalist: Everett TBD / helping with frontend
All Hands: Feature testing / Final implementations.