Receipt Contextualizer - MAKE RECEIPTS SPEAK
Data Science & AI|Jakob Butlewski|May 13, 2024
What is the final project useful for?
Receipt data is messy. We augment abbreviations and brand names into supermarket categories product categories by harnessing information stored in large language models. Using text embeddings we provide semantic search functionality and enable the users to get insights into their grocery expenses by investigating their shopping on a neat dashboard.
What does the final project look like?
