- 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.
- Frontend
- HTML5
- CSS3
- JavaScript
- Bootstrap4
- Backend
- Django framework
- Database
- SQLite
- Machine Learning
- face-recognition
- opencv-python
- NumPy
- CMake
- Dlib
- 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::8000in your web browser.
- Chiraayu Meghnani
- Parth Cheulkar
- Shyren More
- Varun Mamtora