In collaboration with Kroppa Digital Agency

My Role:   AI/ML Engineer

The overall goal of the intent classification task is to develop a machine learning model that accurately identifies the intent behind natural language statements within the medical domain. The objective is to improve the efficiency and effectiveness of customer service interactions by automatically routing input sentences to corresponding flow’s dialogue initiator. To achieve this goal, the model was trained on a large dataset of labeled examples that represent the various intents within the domain. The model also can handle variations in language, syntax, and context that are common in natural language queries as well as spelling errors and typos. Ultimately, the success of the model was measured by its ability to accurately classify statements with a good accuracy and f-score results which have been calculated with a batch testing procedure.