Our customer - one of the world’s leading providers of women’s health apps - addressed R-Style Lab with a non-trivial request: contribute with our UI and mobile skills to the development of its Python-based platform providing end users with personalized menstrual cycle patterns and health insights. R-Style Lab team worked on the chatbot for iOS and Android that would rely on the client’s custom written neural network to communicate with users, collect necessary analytics and provide them with personal health recommendations.
The data-driven application uses a custom Python-based neural network which permits to analyze massive inputs of data, collected by the implemented chatbot, and make scientifically accurate predictions.
Collecting the necessary data was a challenging task, and the customer wanted R-Style Lab to develop sleek, top-notch UI design for a smooth user-chatbot dialog flow. For this we developed conversational interfaces so that a user would describe her state, indicate symptoms and health problems at each stage:
To make the data collection process more engaging and simple for the user, the chat is provided with animations and eye-pleasing pictures and icons. For completing the task, R-Style Lab development team used native frameworks for each platform:
The clear-cut and user-friendly UI part of the app has contributed to its success. The app has been successfully launched and featured by App Store among other health-related solutions, topping the category on the US and European markets.
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