In a messenger platform, user metadata is essential for enriching user profiles with valuable information. Within this context, we typically encounter two primary categories of user metadata: Employer metadata and Candidate metadata.
Candidate Metadata:
Full Name: This field displays the complete name of the candidate or user.
Job Title: Indicates the candidate's current or desired position within their profession.
Phone Number: Provides contact information for the candidate, facilitating communication.
Email Address: Offers the candidate's email address for electronic correspondence.
Timezone: Specifies the candidate's timezone, aiding in scheduling and coordination efforts.
Picture: Presents a visual representation of the candidate through an image or avatar, aiding in identification.
Attachments: Includes any relevant attachments related to ongoing conversations.
Location: Specifies the candidate's current geographical location.
additional features:
File Upload and Read Receipts: This feature allows users to upload files and track when their messages have been read by recipients.
User Activity: User status activity, such as Online, Offline, Busy, or On Vacation, can be added. Users can set their status accordingly. [Reference: link1 and link2]
Mark Unread Messages: Users can mark messages as unread, typically indicated in bold font. Conversely, read messages can also be marked as unread.
Messenger Popup: A messenger popup feature similar to LinkedIn's messaging interface can be implemented. For guidance, refer to this tutorial: LinkedIn-like Messaging App.
Group Chat Functionality: The platform can support group chats, enabling users to communicate and collaborate within designated chat groups. This feature enhances communication and facilitates teamwork among users.
Creating a chat system like Upwork includes features such as real-time messaging, file sharing, group chats, video conferencing, and more. using the following instructor:
Back-end:
Create a server using Express.js that listens for incoming requests.
Configure MongoDB to store user data, messages, and files.
Implement user authentication and authorization using JWT.
Create WebSocket connections using Socket.io to enable real-time messaging and video conferencing.
Integrate Redis as a caching layer to improve performance.
Test and refine:
Thoroughly test the chat system to ensure that it is reliable, secure, and meets all the requirements you have defined.
Make adjustments and refinements based on user feedback.
Monitor the system and make regular updates and improvements to keep it up-to-date and secure.
In a messenger platform, user metadata is essential for enriching user profiles with valuable information. Within this context, we typically encounter two primary categories of user metadata: Employer metadata and Candidate metadata.
Candidate Metadata:
additional features:
Creating a chat system like Upwork includes features such as real-time messaging, file sharing, group chats, video conferencing, and more. using the following instructor:
Back-end:
Create a server using Express.js that listens for incoming requests.
Configure MongoDB to store user data, messages, and files.
Implement user authentication and authorization using JWT.
Create WebSocket connections using Socket.io to enable real-time messaging and video conferencing.
Integrate Redis as a caching layer to improve performance.
Test and refine:
Thoroughly test the chat system to ensure that it is reliable, secure, and meets all the requirements you have defined.
Make adjustments and refinements based on user feedback.
Monitor the system and make regular updates and improvements to keep it up-to-date and secure.