Polybot

Language is and shouldn't be a barrier for chatting online and networking with other people and/or business clients.

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Inspiration

We wanted our users to have the ability to communicate without barriers - where they aren't hindered by discrepancies between dialects and/or languages. That's exactly what we have done today through our Discord bot and/or chat-app.

What it does

Our bot supports multiple features:

  • Translation from apprx. 100 languages.
  • Multiple Language Detection.
  • Posting the phrases and the translations across multiple channels dedicated to select languages - [E.g.: English, Japanese, Chinese, French, Korean, etc]

How we built it

We used Node.js, Discord's JavaScript library, and several other APIs to build the server for this project. This involved making several GET and POST requests to the server via Node.js. Using this we implemented almost all of the features that we wanted for this bot (with the exception of the Speech-to-Text feature). Regarding the APIs, the most notable ones we used were: Twitter's API (tweepy) and a Language Detection API known as detectlanguage (https://detectlanguage.com/).

Challenges we ran into

Challenges arose after we implemented the first two features: Language Detection and Translation. This was primarily due to the fact that we eventually realized that the Speech-To-Text feature was not as simple as we first imagined it to be. We had to find a way to first process the speech through the microphone and then convert it to text to be displayed on-screen - which meant directing the processed speech through our Node.js server to translate it to a string. We realized that it was significantly easier to implement this feature on an actual webpage, however, given the scope of our project and the amount of time we had, we ultimately ended up not implementing this feature.

Accomplishments that we're proud of

Utilizing the APIs mentioned above to make real-world-relevant applications:

  • Supporting up to 100 languages
  • Multi-language translation
  • Multi-language detection
  • Sentiment Analysis that fetches the most recent posts from Twitter using tweepy ## What we learned The importance of multi-tasking and delegating work among team members. ## What's next for Polybot Supporting more features:
  • Text-to-Speech Conversion
  • Speech-to-Text Conversion
  • Fetching weather, news, etc
  • Displaying stock price
  • Conversing with the bot

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