Abstract: Our project aims to identify ingredients from food images using deep learning techniques. By leveraging convolutional neural networks, we accurately recognize various ingredients present in the images. Additionally, we provide nutritional facts for the identified ingredients, offering users valuable dietary information. With this system, users can gain insights into the composition of their meals swiftly and conveniently.

Keywords: Food Image Recognition, Deep Learning, Ingredient Identification, Nutritional Facts.

Cite:
M. Anitha, A. Naga Likhitha Devi, K. Lakshmi Chandana Sai Likhitha, M. Pallavi, "Identifying Ingredients from The Food Image", IARJSET International Advanced Research Journal in Science, Engineering and Technology, vol. 11, no. 3, 2024, Crossref https://doi.org/10.17148/IARJSET.2024.11314.

| DOI: 10.17148/IARJSET.2024.11314