ABSTRACT Sevilla, Kyen Q., Villamor, Romeo C. Department of Computer Studies and Automation - College of Engineering and Computer Studies, Pampanga State Agricultural University, Magalang, Pampanga, June 2023. "ANDROID- BASED FILIPINO SIGN LANGUAGE TRANSLATOR APP." Adviser: Prof. Rommel C. Bandol The study titled "Android-Based Filipino Sign Language Translator App" aimed to develop an Android Operating System (0S-based application that allows an individual to install and access the various features of the app, such as the Filipino Sign Language Translator Camera, dictionary, and video tutorials, to gain knowledge about the language used by the deaf to communicate in various hearings. These features were developed in line with the chosen objectives of the study. This application will benefit the hearing people who live in Buensuceso, Arayat, Pampanga. The application was designed to make it easier for users to access the different hand gestures of Filipino Sign Language (FSL). On top of this, it is to help the hearing people be knowledgeable enough in the sign language that the Filipino deaf community uses to communicate with or interact with them. The researchers employed developmental method, which is a systematic study of designing, developing, and evaluating instrument. Development includes preparing and testing the items that will appear on the survey. This research design was chosen because it was suitable for the current needs of the research. The waterfall model of the SDLC was used in the system's development, providing a well-structured flow of phases, and laying down the foundation for the development, which is arguably easy to understand. The researchers have used different structured tools such as use case diagram, Context Diagram, Data Flow Diagram, System Flowchart, and Child Diagram to be able to analyze and clearly understand the flow of the system. Interviews, surveys, internet, and library research were the research instruments used in data gathering. The primary data collected in the presented questionnaires were interpreted using statistical procedures. Questionnaires have been distributed to 90 residents and to the two deaf people who were educated in the FSL that evaluated the application performance and accuracy of the data. The respondents "strongly agreed" that the system would be beneficial in terms of learning the basics of FSL. The total mean for the respondents is 3.87 and 3.75 for the deaf people who validated the data included in the application. The accuracy result in the Image Processing Camera is only 60-99%, the 60% for the lowest and 99% for the highest accuracy, and the two deaf who are experts in FSL validated and approved the accuracy results.