Project Description

To enhance the Baby Monitoring System using Emotion Analysis, we will focus on refining our deep learning models to accurately interpret a comprehensive range of infant emotional states from facial expressions. This will involve expanding our dataset to include diverse emotional nuances and integrating advanced computer vision techniques for real-time emotional analysis.

Additionally, we will develop a responsive notification system that alerts caregivers immediately upon detecting significant emotional states like distress or discomfort, ensuring timely intervention. By incorporating environmental sensors, we aim to provide contextual insights into emotional triggers such as temperature or humidity changes.

Our goal is to create a user-friendly interface that offers clear visualizations of the baby's emotional trends over time, aiding caregivers in understanding and responding to their infants' emotional well-being effectively, while upholding stringent privacy and security measures to protect sensitive data.