What it does

Agent assistant system helps the agent to solve user's query efficiently and quickly. As it reduce the agent's dependency on the developers the response time will be less than before . If the agent assistant cannot give proper response, then information will be collected which will be posted as a private note on the current channel

How we built it

It was built using javascript and dialogflow was integerated to train the model. Each time we collect user response and form a query , sends it to dialogflow and get back the answer.

Challenges we ran into

Dialogflow integration, Question hierarchy

Accomplishments that we're proud of

In our team no one knows the front development well, but we done what we planned.

What we learned

Few new technologies Managment Team Work

What's next for Agent Assistant

  1. Currently we are creating private note for the conversation which are not resolved by the agent assistant. 2, In future the ticket will be created if the issue is not resolved by agent assistant
  2. We can also suggest related conversations to agents which are already solve based on the data that are provided by the agent to our app.

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