Mamma - Data-Driven Parenting Agent

Project Overview

A mobile product that connects repetitive childcare logs to useful next steps

Mamma is designed to help parents record daily childcare events and review accumulated context before deciding what to do next. It connects logging, AI-assisted summaries, growth checklists, local-place discovery, and community interaction in one workflow.

Core Capabilities

• Low-friction logging: Structure feeding, sleep, diaper, medication, temperature, and activity records
• Summaries and patterns: Review daily snapshots and recurring patterns across accumulated logs
• Growth checklists: Keep age-specific checkpoints alongside daily records
• Local discovery: Find nearby kids cafes, playgrounds, museums, and culture centers
• Community: Exchange practical experience and information through feeds and comments
• AI assistance: Organize questions and suggested follow-up checks from user-provided context

Product Structure

1. Logging & Summary Layer

• Store core childcare events in a consistent structure
• Present daily snapshots designed to reduce the effort of reviewing raw logs

2. Analysis & Decision Layer

• Summarize sleep, feeding, and activity flows
• Focus on useful follow-up checks instead of static charts alone

3. Local & Community Layer

• Organize outing candidates through map-based place discovery
• Provide a space for parents in similar situations to exchange experience and information

Key Features

Quick logging, AI-assisted summaries, growth checklists, local play map, parenting community, and contextual question support

Designed for families who want emotional support and data-informed parenting decisions.