A Multi-Agent System bridging data gathering-simulation-intervention, transforming noisy sensor data into a physics-backed simulation for data driven, air quality policy and strategies planning.
This project aims to address the issues of time, energy, and monetary losses for palm farmers by using the technology of computer vision to assess the ripeness stage of palm fruits
_Page_01.png)
Create a machine learning model that can sort between recyclables and non-recyclables; furthermore, if the object is recyclable, the model will then state which class it belongs in.
