Abstract:
The aim of the project is to facilitate new parents with their new babies. As they have little to no experience in taking care of their babies. Moreover, working parents would hugely benefit from our proposed solution.
The project comprises of 2 parts, firstly cry of the baby is classified into four classes namely, Hunger, Tiredness, Discomfort and Belly-Pain. Machine Learning techniques are used for cry classification.
Second part of the project is regarding baby monitoring. Pi cam and Raspberry Pi 4 are used to monitor the baby such as if the baby is sleeping or awake. Pose estimation and Eye Aspect Ratio are used for Sleep/Awake Detection. If eyes of the baby are visible then EAR ratio is used and if eyes are not visible then Pose Estimation is used
