This task focuses on integrating a chatbot into the LapProFix dashboard with features for assistance, operator forwarding, and chat ending. The chatbot should be able to forward to an operator if needed or end the chat gracefully when no further assistance is required.
Your Role
Fork the Repository
Fork the LapProFix repository to your local machine.
Install Packages
Navigate to the project directory and install the necessary packages using:
npm install i
Run the Project
npm run dev
Identify Components
Locate the components responsible for the chatbot functionality and the sections where the bot will interact with users, such as:
Assistance Popup: Where the chatbot interacts with users to offer help.
Operator Forwarding: A section that forwards the user to a live operator if needed.
End Chat: A section where the conversation is ended gracefully when no further assistance is required.
Implement Chatbot Logic
Add the chatbot flow logic with two possible outcomes:
Forward to an Operator: If the chatbot cannot resolve the user's issue, provide an option to forward the chat to an operator.
End Chat: Offer the option to end the chat when no further assistance is required.
Use state management (e.g., React useState) to control the chatbot conversation flow. The chatbot states could be:
Initial Assistance: When the chatbot starts interacting with the user.
Operator Forwarding: When the chat is escalated to an operator.
Task Overview
This task focuses on integrating a chatbot into the LapProFix dashboard with features for assistance, operator forwarding, and chat ending. The chatbot should be able to forward to an operator if needed or end the chat gracefully when no further assistance is required.
Your Role
Fork the Repository
Fork the LapProFix repository to your local machine.
Install Packages
Navigate to the project directory and install the necessary packages using:
Run the Project
Identify Components
Locate the components responsible for the chatbot functionality and the sections where the bot will interact with users, such as:
Implement Chatbot Logic
Add the chatbot flow logic with two possible outcomes:
Use state management (e.g., React useState) to control the chatbot conversation flow. The chatbot states could be:
How should It look:
Refer this link on how to implement: https://www.zoho.com/salesiq/chatbot.html?network=g&device=c&keyword=ai%20chatbots%20for%20websites&campaignid=13974448020&adgroup=126249779758&matchtype=e&placement=&creative=642109538811&adposition=&gad_source=1&gclid=Cj0KCQjwsJO4BhDoARIsADDv4vCSGO6JMsFk9Tcb5Gvp58kc0Udz0PFjcLTRczXfqVUhMgvBQQqnPAMaAoWBEALw_wcB
If not Zoho , you can share your ideas on how you are going to implement it and whether that meets all requirements
Update Styles