AKCU: A Web-Based Application for Real-Time Weather and Activity Recommendations
Keywords:
Activity Recommendation, API Integration, Client–Server Architecture, Rule-Based System, Weather Information SystemAbstract
Weather conditions significantly influence the effectiveness of daily activities; however, existing weather information services are generally not integrated with activity recommendation features. This study aims to develop a web-based application named AKCU (Weather and Activity Application) that utilizes real-time weather data obtained through a public Application Programming Interface (API) to provide daily activity recommendations. The system employs key weather parameters, including user location, air temperature, wind speed, and rainfall intensity, which are processed using a rule-based approach to generate indoor and outdoor activity suggestions. The application is designed to be accessible via standard web browsers without requiring additional installation, ensuring ease of use across devices. Implementation and functional testing results indicate that the system successfully displays up-to-date weather information and generates relevant recommendations that adapt to changing weather conditions. Therefore, the developed application can serve as a simple decision-support tool to assist users in planning daily activities based on accurate and real-time weather data.
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