In order to build more productive AI for a digital Nigeria, the acquisition of reliable data has a lot to play, this poster is about how we can harness the power of Embedded Systems integrated with TinyML to get more data to build productive AI Models. This will show the latest development in TinyML and how it's easier than ever to have Machine Learning built into our day-to-day electronics to extract necessary data. This paper will also show practical examples and implementation of how researchers or academics can make use of TinyML-enabled embedded systems boards to collect, analyze, and train models in real-time.