Biodiversity conservation is fundamental to maintaining ecological stability, sustaining ecosystem services, and ensuring long-term environmental sustainability. India, recognized as one of the world's mega diverse countries, faces significant threats to biodiversity due to anthropogenic pressures, including habitat destruction, climate change, illegal wildlife trade, pollution, and increasing human–wildlife conflict. Artificial Intelligence (AI) has emerged as a transformative technological innovation capable of enhancing biodiversity conservation through predictive modelling, automated ecological monitoring, intelligent data analysis, and decision support systems. This study adopts a secondary data–based analytical research design to examine the role of AI in strengthening biodiversity conservation in India. Data from secondary sources documented conservation case studies involving endangered and vulnerable species such as tigers (Panthera tigris), Asian elephant (Elephas maximus), one-horned rhinoceros (Rhinoceros unicornis), Ganges river dolphin (Platanista gangetica), and bat species.