Sine Wave Prediction with TinyML on STM32

This project showcases a TinyML model deployed on an STM32 microcontroller to predict sine wave patterns. The model is optimized for low-power, real-time inference on embedded devices, demonstrating the feasibility of running machine learning algorithms in resource-constrained environments. The repository contains the STM32 deployment code.

STM32 Reference: https://www.digikey.in/en/maker/projects/tinyml-getting-started-with-tensorflow-lite-for-microcontrollers/c0cdd850f5004b098d263400aa294023

Training Reference: https://gist.github.com/ShawnHymel/79237fe6aee5a3653c497d879f746c0c