The project primarily focuses on identifying specific acoustic signatures that trigger responses from congeneric but phylogenetically distant babbler species. Secondly, it utilizes CNN-based AI models to detect species that form associations in the acoustic space during dawn chorus, serving as a captivating manifestation of intraspecies communication within complex tropical environments while emphasizing the broader context of whole soundscapes to assess biodiversity.