Automatic feeders remain the greatest alternative for feeding fish to replace the human technique, and they are also the cheapest and most accurate method due to the low cost of microcontrollers. The study aims to design a project that would automatically dispense feed based on the user’s preferences through timer and message the owner thru GSM, if the feeding process was done. Prototypes are used to see if design perform as they are supposed to. According to development and testing the project was proven that the design was effective and efficient. Based on the result of the evaluation. The proponents found out that the majority of the respondents agreed that the proposed application has met. The proposed application will be a great help to the fishermen and aquarium owners because they will be relaxing and defendant to the application.

In the Philippines, there is still a barrier language between the deaf and hard of hearing and abled communities. This could be attributed to how time and resource-consuming it is to learn FSL. This study aims to develop an FSL emergency sign detection in hopes to diminish the prejudice against dhh and the barrier that prevent them from being entirely accepted by non-dhh. To test the hypothesis of how fast hand detection works in emergencies using mobile, YOLO v4 tiny was used as the main algorithm for FSL detection for selected phrases often used in emergencies backed by an online survey for its usefulness. The results yielded an average accuracy of 85% in detecting the hand signs in different background environments with ample lightning and that using the mobile application to detect emergency hand signs is fast and accurate enough when in different backgrounds.