The work emphasizes the importance of maintaining a consistent temperature while transporting temperaturesensitive
goods in the logistics cold chain. Refrigerated transportation plays a critical role in this chain, and the safe and efficient
transport of perishable goods, such as food or pharmaceuticals, heavily relies on maintaining appropriate temperature levels. Realtime
temperature monitoring and timely response to deviations are vital to prevent spoilage and financial losses. This paper presents
an intelligent temperature monitoring system that employs a WiFi-enabled IoT platform NodeMCU-ESP32 to collect realtime
temperature data, which is then transmitted to the AWS cloud platform. The system uses machine learning algorithms to
predict temperature deviations and sends alerts to relevant stakeholders via the Telegram messaging service. The system architecture
comprises AWS services, including API Gateway, IAM, Lambda, DynamoDB, and SNS, offering a scalable, secure, and costeffective
temperature monitoring solution.
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