This paper explains the E-nose to monitoring fruit ripeness & to identify fruits with the implementation of Artificial Neural Network based Micro-controller. We are using or array of sensors (both gas & color) to monitor the ripeness. Though, at first, it gives the result of low accuracy, after repeated training it becomes intelligent. The system’s outpost can be given in lab view for the more versatile outcome. This project can be used in both supermarkets or by vendors or for domestic purposes for both the use of identification of the fruit & as visual appearance does not always give proper result.