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LexaScan

Created by team GPTeam on February 23, 2024

According to a study by McKinsey, employees spend almost 2 hours per day searching and gathering information. Manual extraction processes cannot scale to handle large volumes of data. Automated data extraction solves the inefficiencies of manual information gathering. LexaScan is an AI solution that extracts data from text and images, delivering structured JSON format. We used GPT-4 Vision from OpenAI to extract data from text and images. We also used TruLens to ensure that the output is relevant and harmless. The total addressable market for data extraction software was estimated at $1.4 billion US dollars in 2022 and is expected to reach $3.8 billion dollars by 2028. Conservatively, we estimate the serviceable addressable market to be $140 million and the serviceable obtainable market to be $42 million.

Category tags:

Web Scraping & Data Extraction, News and Information

Github Presentation Demo

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"LexaScan seems like a simple implementation of a unique idea. I would have loved to see more deeper implementations though, but i like the approach of thinking. The presentation needs to be a little better too"

Shebagi Mitra

Technical Mentor

"your idea is great but you didn't show what problem are you solving here. your ppt is excellent, very concise and informative. you didn't show if you used trulense for your code or not. search more for problems that needs your solution very badly and explain it well. good luck"