User-centric technology stack for weather and air pollution forecasting

• Datum: 2025
• Hauptverfasser: Doroshenko, A.Yu., Haidukevych, Y.O., Haidukevych, V.O., Zhyrenkov, O.S.
• Format: Artikel
• Sprache: Ukrainisch
• Veröffentlicht: PROBLEMS IN PROGRAMMING 2025
• Schlagworte: regression task; machine learning; forecasting; docker container; web service; mobile application; Google Flutter; Bentoml; Mlops; microservices; UDC 658.26; 004.421; 004.89
• Online Zugang: https://pp.isofts.kiev.ua/index.php/ojs1/article/view/672
• Назва журналу: Problems in programming

This paper proposes the multi-stage process of delivering the forecast data to end-user mobile device. The initial task here is to collect the historical weather and air pollution data. After that, the following steps should allow to build the forecasting infrastructure: the input-output model shoul...