Advanced Deep Learning Model for Food Recognition and Personalised Diet Planning

Abstract

Technology is becoming an important partner when the awareness grows about how our diet & lifestyle affect health. It helps people make better food choices—choices that are more informed. One of the most exciting advancements is using AI to identify the foods we eat and create personalized nutrition plans. Models like VGG16 have been used for food recognition, but they often fall short in accuracy. They do not have the data for tailored dietary suggestions. This shortcoming stops them from offering the best health solutions to users.To overcome these issues, we recommend the Inception V3 deep learning model. It is widely recognized for its outstanding performance in image classification tasks. Inception V3 has a smart design that employs different filter sizes and pooling methods. This feature allows it to notice more complex patterns in food images. As a result, food recognition accuracy improves, making it easier for the system to identify a wider variety of foods & dishes. Beyond accurate food recognition, our system also includes a personalized diet planning feature that considers factors such as age, weight, gender, blood pressure, and Body Mass Index (BMI). By evaluating these factors, the model creates personalized diet plans that match users' health goals and nutritional requirements. This dual approach—improving food recognition and offering tailored diet plans—helps users make healthier dietary choices, ultimately leading to better health outcomes and lifestyle improvements.