Food Minder
DOI:
https://doi.org/10.47392/IRJAEH.2025.0081Keywords:
Machine Learning, Image analysis, Diagnosis, CNN, Health and Wellness, Personalized Stress Management, Behavioral Analytics, Dietary Analysis, Emotion Recognition, Food Preferences, Stress DetectionAbstract
Foodminder is an smart stress-detection software designed to investigate emotional responses induced by using consuming unpreferred ingredients using gadget learning and behavioral analytics the app monitors nutritional conduct and identifies pressure patterns related to unique food alternatives with the aid of leveraging convolutional neural networks cnns foodminder procedures facial expressions physiological signals and behavioral cues to hit upon stress responses successfully the app provides personalised insights and adaptive tips supporting customers manipulate their emotional well-being correctly this innovative technique bridges the space among nutrients and intellectual health selling a holistic
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Copyright (c) 2025 International Research Journal on Advanced Engineering Hub (IRJAEH)

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