AI-Powered Food and Fitness Guide using CNN
DOI:
https://doi.org/10.15662/IJARCST.2025.0805022Keywords:
Calorie Detection, Convolutional Neural Network (CNN), Food Image Recognition, Nutritional Analysis, Macronutrient Estimation, Diet Recommendation System, Health Monitoring DashboardAbstract
The aim of this project titled, AI-Powered Food and Fitness Guide Using CNN is the simplification of calories and food intake tracking with the help of AI. The system uses Convolutional Neural Network (CNN) to identify food items on a picture and estimate the amount of calories on the food item. It has a database on nutrition, which provides a breakdown of the nutritional content of foods, such as the number of carbs, proteins, and fats in a food. The app is a full health management platform because it has features like diet suggestions, goal tracking, and voice-based food logging. A user-friendly web interface based on the modern web technologies should provide the user with an opportunity to communicate with the system. The project also integrates the gamification features such as badges and streaks to motivate users to remain committed to healthy practices.
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