Deomo url https://mood-song.herokuapp.com/ but frontend need some more work & work in progress (service is down due to credit issue with AWS)
In this project, we would be combining multiple services and open-source tools to make a Chatbot that recommends songs based on the tone of the conversation which the user is having with the chatbot.
In this project, we would be building an extensive Chatbot service, to which you can talk to. And talking to a chatbot wouldn't be business-driven. It would just be casual conversations. Further, on top of it, the chatbot would also be recommending songs to the user based on the tone of the user. This song recommendation feature employs the use of Last.fm API, very much similar to the popular Spotify API. Also for tone/emotion analysis of the conversation we will be using the IBM Tone Analyzer API.
- User starts the conversation
- Emotional Analysis of the conversation is done using the IBM - Emotional API
- Get the reply to the conversation from the Cakechat Chatbot
- Based on the Emotion which the app perceives, top songs are retrieved using Last.fm songs API
- If a user listens to a particular song for sometime, a similar song would be recommended to the user using Last.fm API.
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The chatting engine is based upon Hierarchical Recurrent Encoder-Decoder (HRED) architecture for handling deep dialog context.
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Multilayer RNN with GRU cells. The first layer of the utterance-level encoder is always bidirectional. By default, CuDNNGRU implementation is used
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The chatting engine is hosted on AWS server and it has been intgreated to the frontend via an API end point
👤 Manikant Kumar
- Roll: CSE/18/23
- Website: https://devil-cyber.github.io/CodingSpace/
- Github: @devil-cyber
- LinkedIn: @manikant-kumar-550998192
👤 Kavya Alla
- Roll: CSE/18/21
- Github: @kavya151
👤 Angirekula Sujith
- Roll: CSE/18/22
- Github: @sujith805
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