MindPulse

MindPulse Web Home Page
MindPulse Audio mic permissions
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Inspiration

Some of our team members work in maternal fetal medicine research, prompting exposure to babies and young parents. A rising issue within this demographic is the lack of ability to effectively sooth these babies when they are distressed. We sought to alleviate this issue through an AI powered infant soothing assistant that learns each baby's unique responses to different sound frequencies and noise profiles. Furthermore, as developers, we constantly seeing news about smart home devices and baby monitors being hacked, or companies secretly collecting raw audio data. This is a serious breach of privacy, and a huge concern in our modern day. Especially when it comes to something as vulnerable as a sleeping baby, the idea of raw microphone feeds to the cloud didn't feel secure. Overall, we wanted to build a baby sleep companion that was actually smart, but strictly local and private by design. MindPulse was developed out of the idea that we can use modern web capabilities to analyze room sounds and trigger scientifically proven soothing responses without putting a family's privacy at risk.

Project Description

MindPulse is a private, local-first baby sleep companion designed to give parents a smart monitoring solution without sacrificing household privacy. Traditional smart baby monitors stream continuous, sensitive audio and video feeds to external cloud servers, introducing severe security and data privacy risks. MindPulse solves this by processing all audio signals locally in browser memory using the Web Audio API. It analyzes room noise patterns in real-time, instantly discards raw audio data, and can dynamically trigger low-volume, procedurally synthesized sounds (such as white noise or lullabies) to soothe a baby at the earliest signs of stirring. An optional backend built with FastAPI and PostgreSQL can be used to track aggregated, derived sleep history for users who want long-term insights, ensuring zero raw audio ever leaves the user's device.