In physical shop retail, the merchant don't has options which are available in e-commerce shop, that can help to identify visitor and provide customized visit for him in order to optimize the chance to his conversion to buy. This project, uses face recognition to help merchant get history informations about each new visitor, which can help to provide him a customized and guided visit, therefore optimize incomes of the shop.
- OpenCV.
- Python.
- dlib
- openface
To get a local copy up and running follow these simple example steps.
- Open terminal
- Clone this project by the command:
$ git clone git@github.com:Taher-web-dev/Shop-analytics.git
- Then go to the main folder using the next command:
$ cd Optiver-Realized-Volatility-Prediction
- IDE to edit and run the code (We use Jupyter Notebook 🔥).
- Git to versionning your work.
- Python
- Opencv
- dlib
- Data scientist practioner
- Merchant and retailer.
👤 Taher Haggui
- GitHub: @TaherHaggui
- LinkedIn: @TaherHaggui
Contributions, issues, and feature requests are welcome!
Give a ⭐️ if you like this project!