AI-Powered Pregnancy & Postpartum Care Assistant - Case Study

AI-Powered Pregnancy & Postpartum Care Assistant

Enhancing Maternal Health Through AI and Conversational Intelligence

Objective

To develop a personalized, AI-powered maternal care assistant that provides tailored support during preconception, pregnancy, and postpartum phases.

Key Features

Preconception Care

Preconception Care

  • Fertility tracking & ovulation prediction
  • Personalized health & lifestyle recommendations
  • Nutrition & medical risk assessment
  • AI-powered consultation assistant
Pregnancy Support

Pregnancy Support

  • Week-by-week fetal development tracking
  • Symptom checker & risk alerts
  • Medication safety guide
  • Exercise & mental health check-ins
Postpartum Care

Postpartum Care

  • Postpartum recovery tracking
  • Breastfeeding & baby health monitoring
  • Postpartum depression support
  • Parenting tips & newborn development milestones

Technical Stack

  • Conversational AI: Rasa + GPT-4
  • Speech-to-Text & Text-to-Speech: Google Cloud, ElevenLabs
  • Data & Memory: Redis
  • Integration: Wearables & Mobile Apps
  • Hosting: AWS EC2

Infrastructure and Hosting Monthly Costs

Google Cloud Speech-to-Text

Pay-as-you-go pricing

  • Pricing Details
  • Example: In Simple words: Suppose if a user has 35 sessions and each session can take up to 15 minutes of verbal conversation, then a total of 525 minutes (35 sessions x 15 minutes) would cost $12.6.
Google Cloud Text-to-Speech

Pay-as-you-go pricing

Comparison of Different Technologies

Text-to-Speech (TTS)
Speech-to-Text (STT)
  • Whisper (OpenAI)
    • Scaling challenges: Resource inefficiency with uncertain user demand.
    • Better alternative: Google Cloud Speech-to-Text – Scales automatically with user demand.

Key Decision Factors & Recommended Approach

Client Requirements

  • Personalization & Empathy: Users must feel like they are interacting with a real person.
  • Flexibility in Responses: Handle open-ended, unexpected questions.
  • Progress Tracking: Monitor milestones and celebrate small wins.

Key Challenges

  • Rasa/Dialogflow alone cannot generate empathetic, dynamic responses for unstructured inputs.
  • LLMs like GPT-4 offer empathy but lack structured dialogue flow.

Recommended Approach

Hybrid Solution: Rasa + GPT (OpenAI)

  • Why Rasa?
    • Custom dialogue flows and structured milestone tracking.
    • Full control over deployment (on-prem or cloud).
  • Why GPT (OpenAI)?
    • Handles empathetic, open-ended questions.
    • Adds human-like engagement and flexibility.

Flow

  1. Structured Conversations: Rasa manages structured sessions, goal-setting, and progress tracking.
  2. Empathetic Engagement: When an unrecognized intent is detected, the system calls GPT for dynamic responses.
  3. Memory and Context: Use Redis to store user data for long-term personalization.

Development Time and Cost Estimation

We’re proposing a phased approach to make the project more manageable and affordable. In the first phase, we can skip voice features, the chat app, and use external game links. This will allow us to focus on the core experience while significantly reducing complexity without compromising the core idea and session motivation.

This phased approach will help us deliver a solid foundation. With user feedback, we can prioritize the most valuable features and enhance the experience based on what users truly need. This will lead to a more refined, user-driven product.

Task Time (Weeks)
Phase 1 – Core Development
Initial Research & Design 1
Registration & Onboarding Questions 2
Server, API & Backend Setup 1-2
Conversational Flow Development 2-3
Deployment & Monitoring 1
Testing & Iteration 1.5-2
Subtotal (Phase 1) 8.5-10 weeks
Phase 2 – Advanced Features
Voice (STT/TTS) Integration 1
Craving Support App 1
Achievement App 2
Chat Application 3-4
Games (depends on complexity) 4
Subtotal (Phase 2) 11-12 weeks
Total 19.5-22 weeks

Why This Matters

AI-driven maternal care ensures better health outcomes for mothers and babies by providing real-time, personalized support. By integrating AI with medical insights, we empower women to navigate their journey with confidence.

Preconception Care