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Total prize pool of $5,000
All projects (31)
I created an ML model using Edge Impulse from acceleration data mimicking the behavior of an elephant.
Using this ML model, we can differentiate between humans and elephants to detect poaching and human-elephant conflicts.
An effective Machine Learning model, created with Edge Impulse, which can be used to detect whether the elephant is safe or not.
EleTect - TinyML and IoT deployed Smart Wildlife Tracking Technology with Audio, Image and Accelerometer deployed model tracking.
More of a tactical, rather than practical; approach for monitoring our elephants in wild.
I have created a generic deep learning model to detect activity with high accuracy which can be used on different animals.
Classify major elephant calls such as rumble and trumpet