HealthSmart: Calorie Deficit Prediction and Meal Recommendation

Abstract

"One of the biggest challenges in the field of personalized health management is extracting biometric data from face images. In order to solve this issue, a comprehensive system that analyzes facial features and extracts pertinent biometric data using computer vision and machine learning techniques is being developed. With the help of facial image analysis, the system seeks to precisely predict variables like height, weight, age, and gender, enabling customized health interventions and meal planning techniques. Biometric data extraction from face images is one of the major problems in the field of personalized health management. A comprehensive system that uses computer vision and machine learning techniques to analyze facial features and extract relevant biometric data is being developed as a solution to this problem. The technology uses facial image analysis to accurately predict variables such as height, weight, age, and gender, allowing for personalized health interventions and meal planning strategies. Using facial images as a rich source of biometric data, this project offers a novel approach to personalized health management through the integration of computer vision, machine learning, and data science methodologies. The created system has the potential to enable people to make knowledgeable decisions about their diet and overall health, leading to increased longevity and well-being."