AI-Powered Maternal Health System
A revolutionary voice-first AI system designed to reduce maternal mortality rates by providing real-time health guidance in native languages. The system works offline on edge devices, ensuring access even in remote areas without internet connectivity.
Project Status: Awaiting DAO Approval
This project is currently pending community approval through our DAO governance system. No funding has been raised yet and the project has not started. All metrics shown below are targets that will be achieved once the project receives approval and funding from the WAM community.
Target Impact Metrics
Technology Innovation
AI/ML
Quantized Language Models (Gemma 3 architecture)
Edge Computing
Offline deployment on smartphones and feature phones
Speech Recognition
ASR fine-tuned for local dialects
Text-to-Speech
Natural voice synthesis in native languages
Blockchain
Transparent impact tracking and data integrity
Mobile Development
Cross-platform app for Android and feature phones
Key Features
Impact Goals
Project Milestones
AI Model Development
Complete development and testing of voice-first AI models
Pilot Deployment
Deploy system in 2 pilot regions for testing
Full Scale Deployment
Roll out across all target regions
Impact Evaluation
Comprehensive impact assessment and optimization
Strategic Partnerships
Ministry of Health
Policy integration and content validation
Local NGOs
Community engagement and deployment
Regional Universities
Language data and evaluation
Telecom Partners
Infrastructure and connectivity support