METHOD FOR RECOGNIZING FOOD ITEMS AND PROVIDING NUTRITIONAL INFORMATION

Abstract

ABSTRACT A method (100) for recognizing food items and providing nutritional information. Further, the method comprising capturing an image of a food item using a mobile device's camera. Further, the method (100) comprising the steps of processing the captured image to enhance quality and prepare it for analysis through resizing and normalization. Further, the method (100) comprising the steps of utilizing a deep learning model, specifically InceptionV3, to analyze the pre-processed image and accurately identify the food item present. Further, the method (100) comprising the steps of employing web scraping techniques to extract real-time nutritional information related to the identified food item from online databases. Further, the method (100) comprising the steps of presenting the identified food item along with its detailed nutritional information and personalized meal suggestions to the user through a user-friendly interface on the m

Specification

Description:FIELD OF THE DISCLOSURE
[0001] This invention generally relates to the field of dietary management and nutrition tracking, and in particular relates to a method for recognizing food items and providing detailed nutritional information through a mobile application that employs advanced deep learning techniques to enhance users' dietary choices and promote healthier eating habits.
BACKGROUND
[0002] The subject matter discussed in the background section should not be assumed to be prior art merely as a result of its mention in the background section. Similarly, a problem mentioned in the background section or associated with the subject matter of the background section should not be assumed to have been previously recognized in the prior art. The subject matter in the background section merely represents different approaches, which in and of themselves may also correspond to implementations of the claimed technology.
[0003] The increasing prevalence of obesity and diet-related diseases has necessitated a grea , Claims:1. A method (100) for recognizing food items and providing nutritional information, the method comprising the steps of:
capturing an image of a food item using a mobile device's camera;
processing the captured image to enhance quality and prepare it for analysis through resizing and normalization;
utilizing a deep learning model, specifically InceptionV3, to analyze the pre-processed image and accurately identify the food item present;
employing web scraping techniques to extract real-time nutritional information related to the identified food item from online databases; and
presenting the identified food item along with its detailed nutritional information and personalized meal suggestions to the user through a user-friendly interface on the mobile application.

2. The method (100) as claimed in claim 1, wherein the nutritional data retrieval further includes filtering the extracted information based on user dietary preferences and restrictions.

Documents