Abstract: Provided herein are techniques, devices, and systems for monitoring an ingestible product stored in a storage receptacle with regards to at least its safety for ingestion. A computing system may receive, from multiple different data sources, data associated an ingestible product stored in a storage receptacle. Based on the data, the computing system may determine a metric associated with the ingestible product, the metric indicative of a probability of the ingestible product being safe to ingest. Based on the metric, the computing system may cause information to be output via a user device, wherein the information indicates whether the ingestible product is safe to ingest.

Abstract: Provided herein are techniques, devices, and systems for determining the safety of an ingestible product with respect to a contaminant as the ingestible product is being processed. A computing system may receive data associated with processing of an ingestible product. Based on the data, and using a model, the computing system may determine a value associated with the ingestible product with respect to a target contaminant. Based on the value, the ingestible product can be classified as a class label indicative of a safety of the ingestible product with respect to the contaminant, such as a classification of “safe” or “unsafe.” In some examples, a reduction of a contaminant in an ingestible product is dynamically monitored, in real-time, as the ingestible product is being processed.