Body Goals-AI-driven fitness guidance

Example

Analyzing a user's photo where they are jogging, Body Goals can assess running form, suggest improvements, and tailor cardiovascular routines that enhance endurance and speed.

Scenario

A new user uploads a full-body image to set baseline metrics for body composition, posture, and physical condition. The AI evaluates these aspects to develop an initial fitness plan personalized to the user’s specific body type and goals.

Example

After identifying a user's preference for vegetarian food, Body Goals suggests high-protein plant-based meals to complement their muscle-building exercises.

Scenario

A user shares dietary preferences and current eating habits. Body Goals crafts meal plans that align with these preferences while also factoring in caloric needs and nutritional balance required for the user's specific activities and objectives.

Example

Using sequential images of a user over a month, the system can visualize changes, provide feedback on muscle development, and adjust exercise intensities and dietary inputs as needed.

Scenario

Throughout a user’s fitness journey, they submit weekly photos and performance feedback. Body Goals analyzes this data to track progress against set benchmarks and recalibrates recommendations to continuously align with evolving goals.

Example

Based on user input regarding sleep patterns and daily stress levels, Body Goals might recommend mindfulness exercises, better sleep hygiene practices, and modifications to daily routines to improve mental and physical health.

Scenario

A user reports issues with sleep and high stress. The AI develops a holistic plan that incorporates relaxation techniques, adjusted dietary suggestions to enhance sleep quality, and workout timings that promote better stress management.