Problem Statement (PS)

• Earlier KYC verification was done in person,but due to COVID-19, this can't be done
• Banks are trying a way to implement a way to perform KYC virtually, since KYC procedures defined by banks are to ensure their customers are real, and to assess, and monitor risks.
• The user needs to upload the necessary government documents, eg: Aadhar card, PAN card, voter-id, electricity-bill.
• After uploading the documents the person needs to submit a 10 sec video to determine that the person uploading these documents is a legit user.
• The web application incorporates machine learning for recognizing and matching the faces of user with the documents uploaded.

Demo video link

Click here to view

Tech Stack

• Frontend
  • HTML5
  • CSS3
  • JavaScript
  • Bootstrap4
• Backend
  • Django framework
• Database
  • SQLite
• Machine Learning
  • face-recognition
  • opencv-python
  • NumPy
  • CMake
  • Dlib

Local Setup

• Install CMake, Dlib and face-recognition libraries
• Clone repository.
• Setup virtual environment
• Exceute pip install -r requirements.txt.
• run python manage.py runserver.
• Go to 127.0.0.1::8000 in your web browser.

Team Name : 403_Forbidden

Members

• Chiraayu Meghnani

• Parth Cheulkar

• Shyren More

• Varun Mamtora