AN INFANT CRY INTERPRETER (BABBLE BOT)

Abstract

Babble Bot for Infant Communication. Infant crying is a key way by which babies communicate their needs, like hunger, discomfort, tiredness, burping, or pain. Innovating a system that identifies when a baby is crying and identifies the spe- cific reason behind it is included in the goal. The methodologies involved the collection of a dataset combined with algorithms for feature extraction and classification. LSTM model will be used for cry identification and the XGBoost model for reason finding. The cry detection system can tell when a baby is crying and ignore other sounds. Sends real-time alerts to caregivers and works well in different settings. This project is significant because it helps caregivers respond quickly and accurately to the needs of the baby. Knowing when a baby is crying allows caregivers to address things like hunger, discomfort, or pain immediately. This quick response improves baby comfort and reduces caregiver stress by giving them clear information on how to help. The cry detection system will be trained to ignore background noises such as talking, TV sounds, or other ambient sounds and focus only on baby cries. It will work in real time and send instant alerts to parents or caregivers through a mobile app or device. The system is designed to perform well in different environments such as homes, hospitals, or daycare centers. This project is important because it provides caregivers with clear and quick information. Knowing when and why a baby is crying helps them take the right action without delay. This fast response not only improves the comfort of the baby, but also reduces the stress and guesswork for parents, especially new or first-time parents. Furthermore, the Babble Bot can support healthcare staff in neonatal wards, helping to monitor multiple babies at once without missing any cries. Over time, the collected data can also be used for health tracking. For example, frequent pain-related cries might indicate a hidden health problem that needs medical attention. The system can also help detect unusual patterns in a baby’s cries, which may help identify early signs of illness.Babble Bot aims to combine modern artificial intelligence with everyday parenting. It supports responsive care, improves infant well-being, and gives caregivers peace of mind. In the future, this system could be further developed with video monitoring, emotion recognition, or even suggestions for what action to take, making it a complete smart care assistant for infants.