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TinyML Grasshopper Classifier

Enabling Non-Invasive Biodiversity Monitoring

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Description

Utilizing AI for the classification of insect sounds, particularly those of grasshoppers, is a promising method to monitor biodiversity non-invasively in the field. Our project focuses on the development and implementation of a sustainable TinyML model. This model aims to efficiently classify grasshopper species based on their songs in real-time on a microcontroller with minimal computational resources.