SleepLog: Infant Sleep Pattern Coach
AI-powered sleep tracking and micro-intervention app that identifies why babies won't sleep and suggests evidence-based fixes in real-time for exhausted parents.
The Problem
New parents are sleep-deprived and desperate, tracking chaotic sleep data in notebooks or spreadsheets while getting conflicting advice from pediatricians, family, and internet forums. They need pattern recognition (teething? hunger? overtiredness?) and actionable next steps at 3am, not generic sleep training methods.
Target Audience
Parents of infants 0-3 years old, especially first-time parents ages 28-42 who are willing to pay for sleep solutions and use mobile apps daily.
Why Now?
LLMs can now reliably correlate sleep disruption patterns (feeding times, diaper changes, temperature, noise, developmental milestones) and suggest personalized fixes; parents are increasingly comfortable with AI childcare tools post-pandemic.
What's Missing
Existing apps either prescribe one method (Ferber, gentle, cosleeping) or are just tracking without intelligence. None combine real-time logging with AI pattern detection that says 'your baby cluster-fed yesterday so overtiredness is likely — try a 15-min earlier bedtime tonight.'
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