May Updates
OdinAI and GraphAPI: Harnessing the Power of AI and Visualizations for Health Apps
TL;DR:
OdinAI empowers health apps to generate personalized recommendations using GPT-4, leveraging LLMs and health data. GraphAPI provides an easy-to-use API for fitness and health app developers to incorporate interactive visualizations based on users’ data, enhancing the user experience.
OdinAI 💪
🧠 What?
OdinAI makes it easy for health apps to generate recommendations, powered by GPT-4. Developers can send their recommendations to OdinAI, which then generates valuable insights based on the combination of LLMs (Large Language Models) and health data. These insights can be accessed through the OdinAI API and displayed to users within the app. Check out our Product Hunt launch here!
⚙️ How?
OdinAI utilizes the power of existing LLMs to process and analyze health data. By merging recommendation providers’ training philosophy with users’ fitness data, connected through Terra, OdinAI generates personalized insights that help keep users on track with an app’s internal recommendation engine. This will ideally keep them on track towards their own goals, and more engaged with the app as a whole.
🤔 Why?
OdinAI represents the next wave of fitness training, powered by AI. By leveraging advanced language models and health data already accessible through Terra, health apps can provide users with personalized recommendations and insights that enhance their fitness journeys. Instead of providing static recommendation plans, OdinAI empowers apps to provide training and recovery protocols in an interactive way, by taking into account previous data to propel the user along their journey. This technology opens up new possibilities for customization and adaptive training programs, taking user experience to the next level.
GraphAPI 📊
What?
GraphAPI is our attempt at an easy-to-use API for health app developers to incorporate interactive visualizations of fitness and health data. GraphAPI allows users to request specific graphs and visualizations using natural language commands. For example, a user can simply say, “Show me my deep sleep over the past week,” and the API will generate the corresponding graph for the requested data, by fetching it through Terra API.
⚙️ How?
To enable seamless integration of visualizations, our team has developed a starting library of graphs and visual components. Developers can prompt the API and connect the graph output directly into their app, in a plug-and-play fashion, allowing health data to be visualized and presented in a user-friendly manner within their apps. We process the users’ input and extract all the necesary information from it in order to create a graph of any data the user desires.
🤔 Why?
Visualizations are an essential component of fitness and health apps as they help users better understand their data and derive actionable insights. By offering GraphAPI, we aim to empower developers to provide visually engaging experiences that enable users to interpret and digest their health and fitness data more easily. This self-serve visualization capability enhances user engagement and fosters a deeper understanding of personal progress. We see this, in combination with OdinAI, empowering users to spot correlations by overlaying different data such as e.g. strenuous activity minutes and deep sleep, and crafting a better path forward vis-a-vis their health.
Wrapping up
This month we keep it short and sweet with two major new advancements. OdinAI and GraphAPI bring powerful capabilities to health app developers. OdinAI leverages advanced AI models and health data to generate personalized recommendations, while GraphAPI offers an intuitive API for incorporating interactive visualizations. By harnessing the power of AI and visualizations, health apps can provide users with tailored insights and a visually compelling experience, ultimately enhancing their fitness and health journeys.
