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Backend: Support Management & Live Chat Bubble with Dialogflow integration (API v2)

Hello,

We are [login to view URL] (presentation website).

1. We are looking for a backend developer who'll help us create backend of the support management section of our platform.

The frontend ([login to view URL] - ongoing creation/design’s finished) of our platform, we’re asking to create backend from scratch with Dialogflow API (v2) integrated which will be connected to our “live chat bubble”.

2. We would like to integrate into our website ([login to view URL] - presentation of the platform) a “live chat bubble” ([login to view URL] - similar) which will be connected to our platform' backend (what you’ll build).

We’ll ask you to sign an Intellectual Property Agreement, because the platform doesn’t belong to you. We’ll need : first and last name, address, Gmail, and Github ID to make the contract.

The Gmail is for an access to Dialogflow.

The GitHub is for an access to the backend of our platform

Here are a few websites and GitHub repositories to help you with :

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

Knowledge needed:

- Docker

- JavaScript (mandatory)

- Python (mandatory)

- Django (mandatory)

- HTML

- Dialogflow (mandatory)

List of tasks :

1. Create the base of the backend

2. Generate to each user (who will use the live chat bubble) a random/unique ID_Number (to identify them)

3. Assigned to me - button

4. All conversations - button

5. Resolved Conversations - button

6. Spam/Ban - button

7. Search bar (conversations)

8. Display Conversations by User (Last Message Received - Time)

- Identification bubble with the First Letter/Number (if ID_Number)

- Name/ID_Number of the sender

- Beginning of the last message

- Date

- Sort by Time/Last Message

9. Conversation Window + Writing box

Conversation Window

- Content of the message into a bubble

- User name relied to each message bubble

- Date/Time relied to each message bubble

- First validation mark for the delivery and a second validation mark for the visualisation of the massage

Writing Box

- Writing text box

- Send a file (limited to PDF and JPG/PNG

- Add Emoji

- Check box: Press enter to send

- Send button

- Forward button (To Gmail + HubSpot)

10. USER ID/ID_NUMBER + Settings

- The user will get a unique ID_NUMBER automatically.

If the user is identified, you can change it (First name - LAST NAME)

- Last seen (last time connection from the user)

- Triple dots for more settings:

- Edit User (to add: First name - LAST NAME)

- Block User

- Mark as Spam/Irrelevant

- Delete Conversation

11. Add Email + Phone Number

- Email (must respect emailname@[login to view URL] - Ex: test@[login to view URL])

- Phone number (must respect: +country number & specific number - Ex: +44 (UK) 7706 788107)

12. Conversation information

Last contacted: Time of the beginning of the conversation

Initial Page: The URL where the user is using the Live Chat Bubble (Ex: [login to view URL])

Conversation started: Date of the conversation

13. User Info (additional information)

- Show the City

- Show the IPv6

- Show the computer details (Mozilla, etc. - This will help in the future our technical team for tickets)

- Last visit (number of days/years)

- Chat Duration

- User navigation (Time - navigated to -> Page)

14. Settings Buttons

- Delete

- Ban

- Tag Chat

- Add Note

- Print

- Email

- Copy Transcript

- Convert to Ticket

15. Assigned To – button

Assigned to someone the conversation/ticket

16. Create the Live Chat Bubble backend

17. Integration of Dialogflow (API v2) into the backend

Kind regards,

Tommy

Taidot: Python, Django, Javascript, Docker, tietojärjestelmäarkkitehtuuri

Näytä lisää: live chat support needed, continent live chat support, work live chat support, part time live chat support, live chat support apply job, live chat support wanted, live chat integration, hiring live chat technical support, live chat support jobs canada, live chat support job nveevo, job online live chat support, live chat customer support agent jobs, live chat multiple domain backend, live chat support agent job, support manager live chat, client support agent - live chat

Tietoa työnantajasta:
( 6 arvostelua ) Paris, France

Projektin tunnus: #22282539

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