How I Created CurryAI: A Computer Vision Aided Indian Food Nutrition Calculator

Indian meals is likely one of the common cuisines on the planet and contains uniquely flavoured preparations utilizing conventional recipes and spices. Throughout its 29 states, billion-plus inhabitants, and 1000's of years of the culinary heritage of India has resulted in numerous sub-cuisines and an unlimited variety of distinctive dishes (Kate Springer, 2020). 

To assist Indian meals fans, reminiscent of myself, of their quest for wellness and health, I've conceptualised CurryAI — a pc imaginative and prescient aided Indian meals vitamin calculator. This calculator would be capable to estimate the dietary content material of an Indian dish by way of analysing a picture of the dish. 

The bogus intelligence inside the calculator logic might be embedded as a part of a cellular app. This could simply allow customers to get a dish’s dietary content material after snapping an image from their cellphone.

Determine 1: Deciphering dietary content material from cellular image

(AsianDelight, 2021)

In researching literature for the same functionality, I discovered prior analysis carried out at Google titled “Im2Calories” (Google Analysis, 2015). This paper approaches the issue of detecting energy from photos and never full dietary info. It additionally makes use of info from menus of common US eating places, thus decreasing the issue to the classification of a dish inside the context of a identified restaurant’s menu. The scope of the issue is constrained to this smaller set of identified dishes.

My analysis focuses on the issue of generic meal detection as that's extra broadly relevant.

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