Build an online web app that recognizes faces and emotion and recommends music from YouTube based on periceved emotion.
Developers looking to test machine-learning API technologies and end-users looking for a fun experiment.
User need to listen to music that matches their mood.
Provide a seamless and efficient way to recommend music based on mood-detection algorithms.
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As a user, I want to be able to upload a photo of myself and get recommended new music based on how I feel.
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As a user, I want to have the ability to use a profile photo.
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As a user, I want to be able to listen to the music recommended by the application on the same page.
- HTML has placeholders for images.
- HTML has a button to upload your own image and a text box to paste profile photo link.
- Firebase is configurated.
- FACE++ API is configured.
- Last.Fm API is configured.
- API systems are properly linked in master HTML
https://ubisafe.org/images/depressing-clipart-sad-situation-6.jpg
https://i.imgflip.com/vh6to.jpg
https://i.yomyomf.com/wp-content/uploads/2013/09/cry1.jpg
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https://amp.businessinsider.com/images/569972b9e6183e263a8b9ba6-750-563.jpg
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http://www.lifejacks.com/wp-content/uploads/2013/10/Happy-man.jpg
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https://ichef.bbci.co.uk/news/660/cpsprodpb/BF11/production/_101231984_bald_man_getty.jpg
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http://www.westsomersethealthcare.co.uk/website/L85009/files/happy_person.jpg
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https://www.biography.com/.image/t_share/MTE4MDAzNDEwNzg5ODI4MTEw/barack-obama-12782369-1-402.jpg
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https://w3llpeople.com/media/foundation_selector/mediumneutral_lg.jpg
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https://www.peoplemagazine.co.za/wp-content/uploads/2016/01/KimKardashian.jpg