Jambot - The Music Recommending Chatbot

The Music Recommending Chatbot

About The Project-

Music is in every corner of the world, it is the one thing that connects us all. Now, given the rapid technological development, now-a-days, people are listening to songs on their mobile phones. There are roughly 140 million monthly music listeners (approx. data for Spotify) in the U.S alone. But every year 9% of the users are withdrawing their subscription because of the algorithm that suggests songs to the user.

We have created a chatbot to solve current music listeners’ struggles. The chatbot is capable of interpreting the mood of the user and then recommending songs based on it.

Objectives:

• Using multiple services to build up a new service over them.
• Having a real-world chatbot, to which you can literally chat like you chatting to a real person
• Figure out the mood of the user
• Enjoying the music recommended by the system.
• Help listeners connect their songs to their emotion and feel the song more.

Built using:

• ANVIL Framework - User Interface
• IBM Tone Analyzer - Emotional Analysis
• Last.FM API - Songs Recommendation
• Google Colaborator - Backend

Getting Started:

Fork and clone this repository in your local system.

git clone https://github.com/Rishabh-Tripathi1/Music-Recommending-Chatbot-.git

Installation

1. Create an account on IBM Cloud (It's free)
2. Enable the Tone Analyzer Service for your account from here.
3. Try running the Python code for analyzing the conversation from here and don't forget to replace {apikey} and {url} with the apikey and url you received by enabling Tone Analyser Service for your account.
4. Create API account on Last.FM songs API and get the API_KEY.
5. Get top tracks using your API_KEY.

Usage:

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

1. Fork the Project
2. Create your Feature Branch: git checkout -b feature/AmazingFeature
3. Commit your Changes: git commit -m 'Add some AmazingFeature'
4. Push to the Branch: git push origin feature/AmazingFeature
5. Open a Pull Request.

Contacts:

• Hrushikesh Shetty: Frontend Developer

  LinkedIn

• Pratham Ingawale: Backend Developer

  LinkedIn

• Rishabh Tripathi: Backend Developer

  LinkedIn

Acknowledgements:

• CRIO PROJECTS
• IBM
• LAST.FM SONGS
• ANVIL FRAMEWORK

Final View:

Home:

Chat page:

Review:

About: