https://github.com/cbillowes/smart-compliance

https://github.com/cbillowes/smart-compliance

Last synced: 1 day ago
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• Host: GitHub
• URL: https://github.com/cbillowes/smart-compliance
• Owner: cbillowes
• Created: 2023-11-07T14:44:47.000Z (about 1 year ago)
• Default Branch: master
• Last Pushed: 2023-12-06T06:21:38.000Z (12 months ago)
• Last Synced: 2024-10-30T11:03:54.686Z (19 days ago)
• Language: Python
• Size: 3.06 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 3
• Metadata Files:
  • Readme: README.md

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README

        
# Smart Compliance

A fraud reduction strategy for financial institutions done in a few easy steps.

![Hero image](./hero.png "Hero image")

## UI component:

Ask for name, last name, id / passport / nic, dob + upload photo of face, holding id document. Create a Streamlit front end application.

## Jupyter notebook

### Jupyter notebook (part 1):

Detect the faces

https://www.kaggle.com/code/serkanpeldek/face-detection-with-opencv

### Jupyter notebook (part 2):

Compare two photos of people and make a match.

https://github.com/serengil/deepface

https://jonascleveland.com/best-algorithms-for-face-recognition/

https://www.youtube.com/watch?v=WnUVYQP4h44 (DeepFace: A Facial Recognition Library for Python)

### Jupyter notebook (part 3):

Extract text from id document (OCR)

https://huggingface.co/models?pipeline_tag=image-to-text