Difference between revisions of "Watch me Build a Retail Startup"

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** [http://pypi.org/project/spotify/ Spotify.py] a primarily, asyncronous library (everything down to the HTTP client is asyncio friendly).
 
** [http://pypi.org/project/spotify/ Spotify.py] a primarily, asyncronous library (everything down to the HTTP client is asyncio friendly).
 
* [[TensorFlow]] 2.0 (with Keras)
 
* [[TensorFlow]] 2.0 (with Keras)
* [[Python#OpenCV| OpenCV]]
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* [[Python#OpenCV| OpenCV]] Open Computer Vision - work with images and/or videos and wish to add a variety of classical and state-of-the-art vision algorithms to their toolbox.
  
  

Revision as of 20:21, 30 July 2019

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SmartSneaks

I've built a demo app called SmartSneaks that lets a user convert a song or image into a generated shoe design! This is an example of how AI can be used to transform retail by giving users a more personalized experience. The tools I used to build this are the Flutter framework for mobile development and the Flask framework for web development. There are 3 learning objectives in this video including how to build a deep learning API for your mobile app, how to generate images with a generative adversarial network, and how to calculate image similarity with OpenCV. Build a Retail Startup | Siraj Raval - GitHub

  • Flutter is Google’s portable UI toolkit for building natively-compiled applications for mobile, web, and desktop from a single codebase.
  • Dart is a client-optimized language for fast apps on any platform
  • Firebase | Google's service & mobile development platform
  • Payments
    • Stripe online payments
    • RazorPay accept, process and disburse digital payments for businesses in India
    • Paypal the PayPal REST SDK provides Python APIs to create, process and manage payment.
  • Spotify
    • Spotipy! a lightweight Python library for the Spotify Web API. With Spotipy you get full access to all of the music data provided by the Spotify platform.
    • Spotify.py a primarily, asyncronous library (everything down to the HTTP client is asyncio friendly).
  • TensorFlow 2.0 (with Keras)
  • OpenCV Open Computer Vision - work with images and/or videos and wish to add a variety of classical and state-of-the-art vision algorithms to their toolbox.