PregAI: Yoga 🤰🧘‍♀️

Introduction:

Welcome to the PregAI: Yoga repository! This Kotlin-based mobile application is designed to empower pregnant women by providing a personalized yoga experience, ensuring safety and guidance during their practice.

Table of Contents:

1. Features
2. Libraries
   • Android Jetpack
   • JUnit
   • Mockito
   • Retrofit
   • Glide
   • Dagger/RxJava
   • TensorFlow Lite
   • Android KTX
   • CameraX
   • Room
   • ViewModel/LiveData
   • Compose
   • Paging
3. Project Structure

Images:

Features:

• Real-time pose detection using camera access on smartphones.
• Machine learning model to assess users' yoga poses.
• Guidance on safe yoga poses for pregnant women.
• Progression to the next pose only when the current pose is done correctly and held for a specified time.

Libraries:

Android Jetpack:

• Lifecycle & Livedata
• Kotlin Flow
• Navigation Component
• Kotlin Coroutines

Android Library:

• JUnit (for unit testing framework)
• Mockito (for testing, creating, and using mock objects)
• Glide (for efficient loading and caching of images)
• Dagger/RxJava (for reactive programming)
• TensorFlow Lite (machine learning library for on-device model inference on Android)
• Android KTX (for improved code readability and conciseness in Android development)
• CameraX (Android Jetpack library simplifying camera development with backward compatibility)
• Room (for easier data storage in Android apps)
• ViewModel/LiveData (for managing UI-related data and lifecycle awareness)

Project Structure:

PregAI-Yoga/ |-- app/ | |-- src/ | |-- main/ | |-- java/ | |-- com/ | |-- pregai/ | |-- yoga/ | |-- MainActivity.kt |-- screenshots/ | |-- pose_detection.png | |-- guided_poses.png |-- README.md

Architecture:

Executive Summary/Abstract:

Maternal mortality is a significant global health concern, especially in developing countries. The PregAI: Yoga app addresses this issue by providing pregnant women with a personal yoga instructor equipped with real-time feedback based on machine learning pose estimation tailored to the user's pregnancy trimester. This application aims to provide comfort and safety during prenatal yoga practice.

How did your team come up with this project?

Prenatal yoga, tailored for expectant mothers, serves the dual purpose of maintaining health during pregnancy and preparing for a safe delivery. To overcome challenges in accessing suitable yoga classes, the team developed a dedicated Kotlin-based application exclusively for pregnant women. This app offers guidance and recognizes yoga movements demonstrated by a yoga instructor.

Project Scope & Deliverables:

Project Scope:

• Detect users' poses using smartphone cameras.
• Build a machine learning model to assess users' yoga poses.
• Provide guidance on safe yoga poses for pregnant women.
• Limit detection to simple yoga poses due to time constraints and model size and complexity.

Deliverables:

• Users can use the application to practice yoga poses correctly and safely.
• Camera-based pose tracking ensures accurate yoga practice.
• Progress to the next pose only when the current pose is done correctly and held for a specified time.

Feel free to contribute and enhance PregAI: Yoga! 🌟