Inspiration
Our main goal is to bridge the distance between State Farm and customers that's created due to the language barrier.
What it does
The chatbot helps users to communicate in their mother tongue while interacting with a support agent or a bot.
How we built it
We built our UI in angular, Service layer with java spring boot-microservices, and for ML/AI operations, we have used google APIs and Dialogflow.
Challenges we ran into
It was a challenging task for us, starting from identifying the end to end use case, till developing and implementing our idea successfully.
Accomplishments that we're proud of
We have implemented the chatbot, which can establish communication between users and agents with different language backgrounds.
What we learned
We have learned Angular, Spring boot, the ability to use google APIs, and Dialogflow.
What's next for Multilingual Chatbot for State Farm
We have a solid plan of improvements which will be presented at the time of presentation.
Built With
- angular.js
- dialogflow
- java
- springboot
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