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Mental Health App for Meditation

The app helps users with meditation and breathing practices. It includes integration with an electroencephalogram (EEG) device, which allows users to track their meditation progress by displaying diagrams and charts of brain activity.

Industries

About the Client

Our client is a telehealth startup based in Dubai, founded by an entrepreneur and a therapist. 

Project Background

The client aimed to provide individuals with the necessary tools and guidance to explore the benefits of meditation and incorporate it into their daily routines. With this in mind, they conceived the idea of developing a mental health app that would specifically focus on meditation and breathing practices.

The app is specifically designed to cater to individuals who are interested in exploring the benefits of meditation and incorporating it into their daily routines. Whether users are looking for relaxation, stress relief, improved focus, or a deeper sense of self-awareness, this app offers the necessary tools and guidance.

 

Project Team

Engagement Model

Time and Material

Tech stack

swift
kotlin
Java
python
django rest framework logo color
docker logo color
redis
postgre sql
nginx

Architecture Overview

The app consists of client iOS and Android apps and an admin panel. The client apps offer a wide range of features for users:

  • Sign up, profile creation, log in & out: Users can create an account, set up their profile, and log in or log out of the app.

  • Subscribe: Users can choose from monthly, half-year, or yearly plans to access all meditations and courses.

  • Courses: Users can explore different courses offered by the app.

  • Focus of the day: Users can choose a focus for the day and receive meditations that align with that focus.

  • Meditations filtering: Users can filter and search for specific meditations.

  • Listening to meditation recordings: Users can listen to guided meditation recordings.

  • Breathing practices: Users can engage in various breathing exercises.

  • Share meditation/course: Users can share their favorite meditations or courses with others.

  • Settings, notifications settings: Users can customize their app settings and notification preferences.

  • Add to favorites, view section with favorite meditations/courses: Users can save their favorite meditations and courses for easy access.

  • Fatigue statistics: Users can track and view statistics related to their meditation activities.

Additionally, the app provides the following functionalities:

  • Users can listen to guided meditations.

  • Users can view brain activity statistics during meditation.

  • Users can choose a specific focus and receive relevant meditations.

  • Users can subscribe to access all meditations and courses.

 

Overall, the app offers a comprehensive set of features to cater to individuals interested in meditation and breathing practices, providing them with the necessary tools and guidance to incorporate mindfulness into their daily routines.

Development Process (or Project Approach)

We utilized Google Meet for communication, enabling team members to share updates and address concerns. Daily team meetings facilitated synchronization of efforts, goal discussions, and resolution of roadblocks. This iterative approach fostered transparency and prompt decision-making to remain on track and align with project objectives.

Third-Party Integrations

  • Facebook authentication integration. Provides a convenient sign-up process, enhances security, and enables social connections with Facebook friends.

  • AppsFlyer analytics. Tracks and analyzes user behavior, app usage, and marketing campaign effectiveness.

Technical Solution Highlights

The backend of the app is built using Python, Django, and Django Rest Framework, with PostgreSQL and Redis for data storage and caching. Various tools and libraries are used to enhance functionality, and the app is hosted on AWS infrastructure.

The iOS client of the app uses GCD for concurrent task execution, Alamofire for network communication, SnapKit for AutoLayout management, R.swift for testing instances generation, Kingfisher for image downloading and caching, and iOS-Charts for creating charts. Additionally, the app uses Firebase for analytics and crash reporting, Firebase DynamicLinks for deep linking, User Notifications for managing notifications, Sign in with Apple for Apple ID authentication, and In-App Purchase for subscription services.

The Android client of the app uses Kotlin and Java as programming languages, MVVM architecture for structuring the app, and libraries like Retrofit for handling API communication, ViewBinding for easier interaction with views, and Coil for image loading. Other tools used include Timber for logging, RxJava for asynchronous programming, Room for database management, Cicerone for navigation, and MPCharts for creating charts. Additionally, the app incorporates Huawei AGConnect tools for crash analytics, deep linking, user authentication, and in-app purchases.

Collectively, these technologies contribute to a smooth and convenient app experience, enabling users to engage in meditation and breathing practices effortlessly.

Results & Future Plans

Our cross-functional team successfully delivered the meditation app in just 18 months, aligning with the client’s requirements. The app was launched on Google Play, App Store, and Huawei AppGallery in April 2023.

If you have an idea for a mobile app, we would be delighted to bring it to life. Reach out to us to discuss your vision and explore how we can assist you.

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