Abstract: A software application for an automated alert system that utilizes speech recognition software to determine the emergency status of a person and respond accordingly. The software application includes monitoring ambient noise through a microphone for an utterance. Once an utterance is identified, it is recorded into an audio signal and fed into a speech-to-text software. The speech-to-text software converts the audio signal into a corresponding text. The corresponding text is then compares against a preconfigured plurality of distress passphrases in order to identify a positive match. Each of the plurality of distress passphrases is associated with an at least one type of alarm. If a positive match is identified for a specific distress passphrase, the software application triggers the type of alarm associated with the specific passphrase. If no match is found, the system continues to monitor the ambient noise and repeat the process for each utterance that is spoken.