(images don't seem be loading here so, please see the git repo Thank you :) )

Team Danger Noodles | Minnehack 2020

Inspiration

Prompt: develop a solution for local communities to help them foster social good

There are many local animal adoption shelters in Minneapolis and other cities. Shown below are a small selection (image from Google Maps)

map of local shelters

  • These places provide social good by taking care of animals and providing a companion to people who adopt these pets. Pets can provide health benefits.

  • The local communities of volunteers often create social media posts to advertise pets avaliable for adoption. However, shelters are consistently short on volunteers.

  • By helping automate content creation, posting can be done more frequently, which means that volunteers will have more time to spend taking care of animals, and more animals will be seen and have a chance at finding a new home. This helps foster social good and foster animals.

What it does

Transforms images into posts, with automatic Tweeting, tagging, and captioning

How it Works

infographic For use with a low cost IoT device, or any shelter photos. Data is stored online using mongoDB, so trends can be seen catdogpiechart posts

What's next for Scratching Post

  • Build and test the hardware for a IoT Scratching Post Device
  • Species specific post text
  • Specific animal identification for including names in posts
  • Testing at a local shelter

Challenges we ran into

  • The dataset used for animal pictures had varying image sizes, which led captions to sometimes be cut off. The font size was decreased to mitigate this issue. With an IoT device the camera resolution would be fixed and this would not be an issue, so it was left for now.

What we learned

  • We had never used Google cloud services, mongoDB, or the Twitter API before. We also learned/practiced some graphic design.

Accomplishments that we're proud of

  • We were really excited when we were able to see the photos correctly classified, and are proud of how much our small and somewhat new team was able to accomplish in the time given.

How we built it | Technologies Used

  • Google Cloud Vision API label detection: to determine if a photo contains a dog or cat, get relevant hashtags

Example Post

tweet

Captioned Images

Cat

cat_image

Doggo

dog_image

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