The device utilizes advanced PPM sensing technology to detect gases emitting from boiled milk, displaying the ppm levels on the screen. A threshold level, based on chemical testing and calibration, helps classify the milk as pure or adulterated.
The adaptive threshold is calculated using OpenVino's AI technology, tailored for the specific location's milk. The system captures data and sends it to the cloud via IoT for further analysis. Our AI system retrieves this data to predict the quality of the milk.
Furthermore, personalized risk assessments based on user health profiles provide insights into potential health risks from consuming contaminated milk, enabling informed decision-making.