MicroAI™ is an AI engine that can operate on low power edge and endpoint devices. It can learn the pattern of any and all time series data and can be used to detect anomalies or abnormalities, make one step ahead predictions/forecasts, and calculate the remaining life of entities (whether it is industrial machinery, small devices or the like).

This is an open source project on the deployment of deep learning to embedded microprocessors. The project establishes a data set for obstacle recognition of blind travel environment, and trains a simplified MoblieNet model in TensorFlow. Finally, the binary file of the model is deployed on the UNCLEO-STM32H7A3ZIT-Q development board to realize …

Speech Recognition using STM32 and Machine Learning

NPRACH UAD Neural Network implementation in Fixed point C.

Predict wine quality using a deep neural network model and STM Embedded AI

This repository deals with the notion of applied Tiny Machine Learning and research for Good, where Good represents {Healthcare, Climate change, Security and further}.