tune.[with]in

This project was created during the Microsoft Engage mentorship program 2022.

Development

1. git clone https://github.com/lvi131/tune.within.git

2. cd tune.within

3. npm install --force

4. npm start

App will be visible at http://localhost:3000/

In the project folder go to src/spotify.js and change the redirectUri to http://localhost:3000/listen

Please ensure in step 3 to run npm install --force and not npm install.

If you would like to test the app, please add your spotify linked email-address here.

Problem Statement

Demonstrate the application of face recognition technology.

Project

A browser based web application as a relaxing tool cum productivity hack revolving around music and emotion detection. Try it here

Brief Overview

• In the listen option, a user logs in with Spotify and clicks a picture. The emotion is detected and songs are recommended based on the emotion and Spotify listening patterns.

• In the focus option, a user has options to choose from nature themed audio-video relaxing effects and also a guided box-breathing feature.

Technologies Used

• ReactJS

• face-api.js for facial recognition and emotion detection

• Spotify API for providing personalized song recommendations

• Firebase for hosting

Future Scope

• Improve the UI.

• Add a journal writing feature to vent out emotions secured using faceID.

• Use additional parameters such as heart rate, text analysis, audio analysis, breathing to enhance mood detection.

• Provide options to users to like songs and then factor this into the recommendations.