/Automated-Fruit-Freshness-and-Defect-Detector

This automated freshness and defect detection project intends to create an automated system to identify raw and stale elements and separate them from the fresh fruits.

Primary LanguageJupyter Notebook

Automated-Fruit-Freshness-and-Defect-Detector

This automated freshness and defect detection project intends to create an automated system to identify raw and stale elements and separate them from the fresh fruits.

Group Name: Foxtrot(A)

Contributors:

  • Sumaiya Kashmin Zim(201814016)
  • Zannatul Ferdous(201814024)
  • Eusha Khan(201814032)
  • Fardeen Ashraf(201814046)
  • Shahir Zaoad(201814058)

Project Features:

  • Machine learning for classification predictive modeling
  • Real time image classification
  • ML deployment using flask server
  • Automated separating mechanism of stale fruits from fresh ones