We envision a future where conversational intelligence can play a dominant role in every aspect of our life. We want to use this platform to accelerate the development of conversational intelligence, while at the same time giving the general public a true taste of the wonder of chatbots.

What it does

The platform can easily host custom-made chatbots that were developed with Tensorflow and exposing it to the public. The public can chat with these bots, and the owner of the chatbots can collect these conversational data for future use. We also created a simple deep learning chatbot for the purpose of testing this application.

How we built it

We used Node.js backend with C++. R

Challenges we ran into

  1. Building a chatbot is actually an incredibly arduous process that requires deep understanding of modern deep learning technologies. There was a lot of difficulty coming up with a slick and easy way to fully integrate Tensorflow model due to technical limitations 2.

Accomplishments that we're proud of

That we built an attractive prototype that the more we look at, the more we want to work on! We have more confidence that this application can significantly benefit humanity in a lot of different ways.

What we learned

We learned quite a bit about this project in terms of its technical requirement, specifically the hurdles of adapting our platform to the different ways that users require to run their chatbot algorithm.

What's next for ChatJuncture

We intend to fully develop its basic functionalities and start acquiring potential users. Our biggest goal now is to grow a substantial community.

Source code

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