Nurtura: Pregnancy Support App
An AI-powered mobile application that supports pregnant mothers through voice based emotion detection and personalized health monitoring. This project received a Best Deploy nomination at HackJam 2025.
Understanding the Context
Overview
The Problem
Pregnant mothers often experience emotional instability and anxiety due to hormonal changes, while access to holistic and personalized digital health support remains limited.
The Purpose
Nurtura aims to become a digital companion for pregnant mothers by combining AI-based emotional analysis, pregnancy monitoring, and personalized nutritional guidance in a single mobile platform.
My Contributions
Responsibilities
Developed the entire mobile application using Kotlin and Jetpack Compose
Built and deployed the voice emotion detection API using FastAPI
Integrated AI-based emotion analysis seamlessly into the mobile application
Translated product requirements into technical features and implementations
Designed application flow and business logic to ensure a cohesive user experience
Technologies Used
Tech Stack
📱 Frontend
⚙️ Backend
🤖 AI/ML
🛠️ Tools
Core Functionality
Features
MyEmoTalk
Voice based emotion detection with personalized nutrition recommendations for pregnant mothers.
MyBaby
Helps mothers track pregnancy progress and key health indicators throughout each trimester.
MyDoc
Acts as a supportive digital companion by combining emotional insights with actionable guidance.
Visual Design
UI Showcase
Interface design and user experience highlights
Splash screen and onboarding flow introducing the app’s core features.
Technical Journey
Challenges
Building a complete AI-powered mobile application within a one week hackathon timeline.
Learned to prioritize core features, manage time effectively, and deliver a production ready MVP under extreme time constraints.
Refactoring code quality based on lessons learned from previous Android projects.
Improved clean architecture implementation, separation of concerns, and overall code maintainability.
Optimizing user experience to prevent repeated authentication and unnecessary data fetching.
Implemented caching strategies to improve app performance and user convenience.
Results & Achievements
Impact
Measurable outcomes and project success metrics
Nominated for Best Deploy at HackJam 2025
Successfully delivered a fully functional AI-powered mobile app in 7 days
Deployed and integrated AI services with a production ready mobile application
Next Steps
Future Plans
Improve emotion detection accuracy with larger and more diverse voice datasets
Add offline support for basic pregnancy tracking features
Enhance AI explainability so users better understand emotional analysis results
Integrate consultation features with healthcare professionals
Strengthen data security and compliance for sensitive health information