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Survaize: using vision models to generate apps from survey forms
Demonstrating how vision models read PDF survey forms, extract questions into JSON, and generate a mobile data‑collection app, with validation and AI‑based evaluation.
Building apps for electronic data collection of surveys and censuses usually involves a manual process. Subject matter experts create the survey forms on paper (or in word processor) and then someone has to copy each question into a survey authoring tool. This process can take days or weeks and is error prone. Survaize is a proof of concept of using LLM vision models to read a PDF of a survey form and extract the questions, responses and other details and automatically generate an application for electronic data collection that can be run on a mobile device.
Survaize: Generative AI converts paper surveys to ODK/CSPro/Survey Solutions.
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