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Coursework 1 for ELEC60013: Embedded Systems at Imperial College London - a pet-tracking IoT without the need for an embedded GPS, codename: Barkr https://barkr.8bitsqu.id/
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Benjamin Ramhorst 2b2922a226
Updated README with project description
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readme.md

ELEC60013 Embedded Systems: Coursework 1

Project name: Barkr

  • A pet-tracking IoT device without the need for embedded GPS - location is tracked using AirTag-style broadcasts and the FindMy network, significantly improving battery life.
  • Various sensors (accelerometer, temperature, humidity) are connected to a Raspberry Pi Zero W, allowing real-time monitoring of pet's health and environment metrics.
  • Data is processed and stored using a backend written in Python Flask and Firebase.
  • User app, written in Flutter, allowing the user to see the current location of their pet, alongside air and skin temperature, humidity, and step count.

Repository Sections

  • App: The user app, written in Flutter
  • DataPuller: Data fetching script to pull data from cloud sources and forward to our backend, eg. AirTags DB or an MQTT broker
  • RPi: Program to run on the IOT device itself, collecting pet information for the app and acts as a bluetooth beacon
  • Server: Backend for interacting with the Firebase Database and providing user registration abilities
  • Website: Static marketting website built using Hugo, live at https://barkr.8bitsqu.id/

Contributors