aioont / Inspect-Elements

Backend Engine for optical charachter recognition and response against food ingredients

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Inspect-Elements

Backend Engine for optical charachter recognition and response against food ingredients

Prolougue 🗿

The project revolves around getting good, clean insights on the ingredient labels on processed food items, Say Flavor Enhancer 635, found on a packet of Maggi, a general consumer cannot understand what it exactly means, Having a guide who understands the same and explains that it is a common and essential food additive, its features are how it will affect one person, and what quantity is allowed for a person.

Architecture 🏹

Inspect Elements has two modules planned: an optical character recognition module and a Dataset accumulation. Each will work hand in hand to give out responses.

Dependencies

| System Linux | Dependecies required | | A compiler for C and C++: GCC or Clang | GNU Autotools: autoconf, automake, libtool | pkg-config | Leptonica | (optional) zlib, libpng, libjpeg, libtiff, giflib, openjpeg, webp, archive, curl |

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Backend Engine for optical charachter recognition and response against food ingredients

License:MIT License


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Language:Python 100.0%