A
system for intelligent monitoring of the
cold chain and predictive
environmental regulation; the
system includes: a
microcontroller configured with integrated Wi-Fi and
Bluetooth communication protocols, the
microcontroller serving as the
central processing unit for acquiring,
processing and transmitting sensor data; a plurality of sensors operationally coupled to the
microcontroller, wherein the plurality of sensors includes at least one digital temperature sensor, at least one
humidity sensor, at least one
vibration sensor, at least one GPS module and at least one door access sensor, each of these sensors providing corresponding real-
time data streams; a
wireless communication subsystem comprising a
GSM module operationally connected to the microcontroller, wherein the subsystem transmits encrypted sensor data to a
cloud computing platform; a
thermoelectric cooling unit comprising a Peltier element mechanically coupled to a
heat sink and fan
assembly, wherein the cooling unit is electrically coupled to a
relay module controlled by the microcontroller to dynamically regulate the internal environment; and a cloud-based analytics engine that runs a Long Short-
Term Memory (LSTM) model trained on historical sensor data, with the model predicting environmental anomalies before limit violations and transmitting predictive alerts via a
dashboard to the microcontroller and authorized remote users.