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Supply chain management platform to prevent food waste with IoT smart containers and Machine Learning - HackMIT 2019 ๐Ÿ†

Python 87.38% JavaScript 1.94% CSS 8.41% Ruby 0.01% HTML 2.00% Shell 0.08% C 0.20%
ibm-cloud ibm azure computer-vision raspberry-pi embedded-systems iot

freshdetect's Introduction

FreshDetect

Won IBM's Disaster Relief Project for HackMIT 2019.

Built With

  • Python
  • Flask
  • Microsoft Azure
    • Azure CosmosDB, MongoDB
    • Azure App Service
  • IBM Cloud
    • Watson Visual Recognition
    • Watson Studio
    • Watson Machine Learning
  • Arduino
  • Raspberry Pi 4

Predicts Freshness of produce using Ensemble Learning. Models used:

- Computer Vision (IBM Visual Recognition and Microsoft Azure Custom Vision)
- Regression (OLS + Ridge Penalizers, lambda)

freshdetect's People

Contributors

qasimwani avatar saig18 avatar

Watchers

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