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ID-ify - MovEd GovTech Hackathon sumbission

Automatically fill government forms with your id card.

Our 24-ish hour submission for the MovEd GovTech Hackathon. The topic was improving Government processes & services with technology, so we thought we'd attempt to solve the ever tedious process of manually filling out the same information on long government forms. Shoutout to the team Hubert, Habib, Ian & Ricky

We built ID-ify, a one click button which could be imbedded into a form, enabling users to take a photo of their document/information (our example was an ID), parse the image-to-text data via an optical character recognition model, and then automatically fill in the related form fields.

Watch a quick demo here

IDify_recording.mov

Or our more in depth hackathon project video

https://www.youtube.com/watch?v=Zp26eeCPK5Y

The Project took a few different iterations

  • First try being a client only approach with Tesseract.js, but it proved to be unable to accurately read from our mediocre webcam image data. image

  • Needing bigger guns we spun up a python server, and tested multiple models from Huggingface, but landed on a combo of Azure Doc Intelligence and OpenAI Api. image

Tech Stack

  • React
  • Python
  • FastAPI

local frontend server (Node)

# npm (default)
npm run --prefix frontend dev
# or pnpm
pnpm run --prefix frontend dev

Form fields

family_name: string
given_name: string
address: string
date_of_birth: string (ISO 8601)
license_number: NNNNNN-NNN
sex: "M" | "F" | "X"

OCR API

curl -X 'POST' \
  'http://127.0.0.1:8000/upload-image/' \
  -H 'accept: application/json' \
  -H 'Content-Type: multipart/form-data' \
  -F 'file=@/Users/habib/Documents/idify/pysrc/img/high_contrast.jpeg;type=image/jpeg'

Sample Response:

{
  "message": "Image received and processed!",
  "data": {
    "license_number": "",
    "first_name": "",
    "last_name": "",
    "street_address": "",
    "post_code": "",
    "city": "",
    "province": "",
    "country": "",
    "issue_date": "",
    "date_of_birth": "",
    "sex": "",
    "eye_color": "",
    "hair_color": "",
    "height": "",
    "weight": ""
  }
}