Detrimental Ingredient Detection System

Abstract

In today’s world, consumers are becoming
increasingly conscious about what goes into the
products they use, especially in the areas of personal
care and cosmetics.However, reading and
understanding complex ingredient lists on product
labels can be a daunting task for most people. This
DIDS – Detrimental Ingredient Detection System, a
smart and user-friendly tool designed to help users
quickly identify potentially harmful ingredients in
products by simply uploading an image of the
ingredient list.DIDS uses Optical Character
Recognition (OCR) technology, powered by
Tesseract, to extract text from the image. It then
analyzes the extracted ingredients against a curated
database to highlight harmful components. Unlike
traditional systems that depend on barcode
scanning or manual ingredient searches, DIDS
provides a more flexible and efficient approach by
working directly with images, even for custom or
newly released products.The system is built using
Python and integrates image processing and
machine learning techniques to enhance the
accuracy of detection. It aims to promote
transparency in consumer products and empower
users to make safer and more informed choices in
their daily lives.