GitHub / manjit-baishya-datascience / Optimizing-Cancer-Classification-for-Edge-Devices-Using-TinyML
This project focuses on building a low-power, real-time cancer classification system using TinyML and deploying it on an Arduino Nano microcontroller.
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PURL: pkg:github/manjit-baishya-datascience/Optimizing-Cancer-Classification-for-Edge-Devices-Using-TinyML
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 1.68 MB
Dependencies parsed at: Pending
Created at: 3 months ago
Updated at: 3 months ago
Pushed at: 3 months ago
Last synced at: 3 months ago
Topics: arduino-nano, embedded-c, logistic-regression, tinyml