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  ### Project Overview
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- This project involves building an AI-powered application that digitizes handwritten recipes from images using Optical Character Recognition (OCR) and Natural Language Processing (NLP). By generating vector embeddings of the extracted text, the system identifies and retrieves three semantically similar recipes from a synthetically generated dataset of 10,000 entries. The final solution is deployed as an interactive web interface on Hugging Face Spaces, bridging the gap between physical archives and digital accessibility.
 
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  ## Part 1: Synthetic Data Generation
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  ### Project Overview
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+ The goal of this project is to develop an app that takes a scanned image of a handwritten recipe as input, generates text using a VLM, and based on the extracted text, suggests 3 similar recipes from a 10K dataset of synthetic recipes.
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+ Our app will bridge the gap between analog culinary heritage and digital discovery."
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  ## Part 1: Synthetic Data Generation
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