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Custom iOS Keyboard for Mental Health Support
  1. case
  2. Custom iOS Keyboard for Mental Health Support

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Custom iOS Keyboard for Mental Health Support

thedroidsonroids.com
Health & Fitness

Challenge

The client needed a custom iOS keyboard to collect user data based on typing patterns, providing insights into their mental state as part of a psychotherapy application. The existing keyboard was not suitable for this purpose, requiring a specialized solution for data capture and seamless integration with the VIRA application and its API.

About the Client

A health and wellness application focused on psychotherapy and mental health monitoring.

Objectives

  • Develop a custom iOS keyboard extension that mirrors the functionality and speed of the native iOS keyboard.
  • Enable data collection from user typing patterns within the keyboard.
  • Integrate the keyboard with the VIRA application to transmit collected data to a backend API for analysis.
  • Provide a user-friendly and intuitive keyboard experience with features designed to enhance typing efficiency and accessibility.

Functional Requirements

  • Native keyboard design and functionality (speed, fluidity, key layout).
  • Light and dark mode support.
  • Emoji keyboard access.
  • Advanced predictive text (3 predicted words).
  • Autocorrection.
  • Custom text replacement support.
  • Swipe to type.
  • Voice to text input.
  • Data collection and transmission to VIRA application API.

Preferred Technologies

SwiftUI
iOS SDK
API Integration (RESTful API)

Integrations Required

  • VIRA application (iOS extension)
  • Backend API

Non-Functional Requirements

  • Performance: Keyboard should have minimal latency and high responsiveness.
  • Security: Secure data transmission to the backend API.
  • Usability: Intuitive and easy to use keyboard interface.
  • Scalability: Ability to handle a large number of users and data points.

Expected Business Impact

Successful development of this custom keyboard will enable VIRA to gather valuable data on user typing patterns, leading to improved insights into mental health trends and better personalization of therapeutic interventions. The project will enhance the application's capabilities and provide a competitive advantage in the mental health space.

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