Abstract
Food Hunter: Hyperlocal Foodies' Experience addresses the problem of decision fatigue and untrustworthy restaurant reviews by offering personalised, community-based dining recommendations. The platform targets users within hyperlocal communities, providing suggestions tailored to individual preferences and supported by trusted feedback from friends and locals. The system was developed using a structured methodology, including planning, user research, agile development, and iterative testing. Data was collected through on-site observations and interviews in a community housing area to ensure the platform aligns with user needs. Findings reveal that personalised recommendations and community-driven reviews enhance user trust and satisfaction, while also promoting the discovery of local food culture. The platform fosters stronger community engagement and supports local food businesses by celebrating nearby culinary experiences.