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stt_api_output.json
[
{
"transcript": "Software developers. We're not known for our Rock and style. Are we or are we today? I'll show you how I use ml to make new trendier taking inspiration from influencers. I'm going to build an app that analyzes my closet and pictures of fashionable influencers and then makes me outfit recommendations. If I'm missing an important piece will also recommend me products to buy let me show you how",
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"transcript": " so the way this is going to work is that I'm going to grab a bunch of fashionable inspiration pictures from social media and I'll take a bunch of pictures of my wardrobe and I'll try to match the pieces that I already owned those fashion pictures using machine learning which will help me put together outfits all wrap this whole thing in a Firebase apps that I can scroll through outfit recommendations on my phone. Alright, let's build this thing. So first I needed to catalog my entire wardrobe. So I thought I could just grab a few pictures of me wearing clothing and everyday life and then use computer vision to pick out the items.",
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"transcript": " Do this. I used a feature of the Google Cloud Vision API called object detection which identifies objects and photos and then draws a little bounding box around them as you can see it kind of worked at identifying my top shorts shoes stuff like that. But since I'm going to be matching my clothing pictures to inspiration pictures, I realize that the quality of my pictures had to be really high. They couldn't beat up weird lighting angles or anything like that. So I accepted the sad fate that I was just going to have to take a picture of every single item in my",
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