Artificial Intelligence Based Method And Application For Assessing Fitness, Blood Glucose Levels And Calorie Consumption With Real Time Feedback

Smart overview of the Invention

The AI-powered fitness and health management system offers personalized recommendations tailored to user-specific goals like weight loss, muscle gain, and diabetes management. Utilizing Artificial Neural Networks (ANN), Decision Tree algorithms (J48), and Convolutional Neural Networks (CNN), it analyzes inputs such as voice commands, wearable device data, blood glucose readings, and food scans. This allows for real-time, adaptive meal and workout plans. The system features hands-free logging through the voice command "Run Fitzy" and employs computer vision to scan food labels, integrating nutritional data into user profiles.

Technical Field

This system integrates AI, voice recognition, and computer vision technologies to provide personalized health and fitness recommendations. It supports real-time data analysis and social connectivity, enabling seamless user interaction through voice-activated functionalities. The application is designed for real-time blood glucose monitoring with AI-driven feedback to optimize dietary and fitness plans. It incorporates social media features such as geo-tagging and community fitness challenges, along with an integrated e-commerce platform for health product transactions.

Background

With the rise of technology in health management, traditional fitness applications often lack real-time personalized recommendations. Current solutions require users to switch between multiple apps for different functionalities like meal tracking, glucose monitoring, and social interactions. Manual data entry remains cumbersome in many systems, which also lack robust voice-recognition capabilities. Furthermore, while e-commerce platforms exist separately from fitness apps, they are rarely integrated into a single holistic health ecosystem.

Need for Invention

A comprehensive fitness application combining AI with voice-activated functions, wearable integration, and real-time monitoring addresses current gaps in the market. Such a system should offer effortless activity logging, personalized guidance, and social interaction within fitness communities. Real-time glucose monitoring is vital for managing chronic conditions like diabetes. The invention meets these needs by offering an all-in-one solution with advanced AI capabilities, voice-driven interactions, real-time health monitoring, and social networking features.

Intended Audience

The invention targets a broad audience seeking advanced technological solutions for health management. This includes fitness enthusiasts, health-conscious individuals, and those managing chronic conditions who benefit from real-time monitoring and personalized guidance. It also serves professionals like personal trainers and nutritionists for client progress tracking. Fitness centers can enhance member engagement through social features like geo-tagging. Additionally, the platform supports entrepreneurs by enabling virtual stores for health products.