IOT machine learning audio identification hardware device

we are developing a rechargeable battery-powered iot device to monitor ambient sounds and identify certain audio events (like a specific bird sound, or the word yes). It needs to determine exactly when a specific event occurred.

the device probably needs to use a microprocessor cascade to run increasingly complex ML models to save power. to avoid constantly running the most expensive model.

ideally, solar panels would be used to allow for constant usage in the field.

tensorflow lite will probably be used to run optimized ML algorithms on the device to process the audio feed.

our current challenge is determining ML model constraints given that the model needs to be run continuously on solar-powered batteries. we need to know the minimum processor power required, so we can develop hardware prototype along with ML models.

if youre interested in working with this project to help us with these items, please describe:
- yourself
- your background
- relevant experience
- why youre interested

we have a very small budget so this project might be ideal for students.
About the recuiter
Member since Mar 14, 2020
Sujit Lampat
from Shizuoka, Japan

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Offer to work on this project closes in 139 days!
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