This fitness app leverages Vision-Language Models (VLMs) and advanced image processing to analyze full-body composition and track muscle development. With personalized insights and adaptive workout recommendations, users gain a tailored experience that evolves with their fitness journey.
We built a fitness app that uses cutting-edge AI to assess body composition and provide users with precise, personalized workout plans. By combining computer vision with smart recommendation engines, the app offers a transformative experience tailored to individual goals.
Our team tested multiple AI models and APIs to ensure reliable measurement and feedback. Solutions like OpenAI GPT-4 Vision, Gemini 1.5 Pro, and LLaMA 3.2 Vision were evaluated for their effectiveness in analyzing body features.
After rigorous testing, we selected the most reliable solution, incorporating the 3D Look API for its superior performance in body measurement.
AI-driven full-body analysis
Vision-language model integration
3D Look API for precise measurements
Custom GPT integration for recommendations
Adaptive workout planning
Real-time progress visualization
Secure login with OAuth 2.0
Challenges
During the Proof of Concept (PoC), we tested several AI models (OpenAI GPT-4 Vision, Gemini 1.5 Pro, and LLaMA 3.2 Vision), but the results were inconsistent.
Some models produced varying outcomes even when analyzing the same image, leading to accuracy concerns.
SOLUTIONS
To address this, we used a third-party API for body measurements and developed a custom AI model and fine-tuned it for better performance, ensuring more consistent and reliable results. This approach helped minimize the variability in analysis and improved the accuracy of the body scoring system.
Challenges
The use of AI models such as OpenAI’s GPT-4 resulted in higher operational costs, especially with large datasets and multiple API calls for image processing.
SOLUTIONS
We optimized the use of tokens and API calls to minimize costs while maintaining accuracy. By refining the workflow and managing API usage efficiently, we ensured that the app could scale without excessive costs.
A popular framework for building cross-platform mobile applications. React Native allowed us to develop the app for both iOS and Android with a single codebase.
PostgreSQL was used to store user data, workout logs, and other critical information, ensuring efficient querying and data integrity.
This API provided the necessary body measurements and was integrated for accurate hip, waist, and thigh measurements.
Used for secure user authentication, allowing users to sign up and log in with their preferred credentials (Google, Facebook, etc.) while maintaining data security.
Used for cloud hosting and scalability, ensuring high performance during traffic spikes.
If you have an AI-powered fitness app idea in mind and want to execute it right away. Feel free to reach out to Biz4Group's AI experts.
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+1 (407) 714-1616
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