Skip to content

Repository files navigation

Food ordering with face recognition

Microsoft-Engage-Project

Food ordering and recommendation system using face_recognition and DeepFace

This is a web based facial login/sign-up device that makes food ordering process easier and it makes use of Flask server. It also has the provision for registering face for new entries.

It also recommends the most preferred cuisines based on the person's racial identity

Preview

Tools & Libraries Used

Working

  1. clone the entire repository

    • Before installing any of the requiremretns, make sure that Microsoft Visual Studio and CMake is already installed
    • Please refer this :ageitgey/face_recognition#175
  2. Install all the requirements from the requirements.txt file

  3. Before running the application we will have to download the weights(deepface) by clicking on the link : https://github.com/serengil/deepface_models/releases/download/v1.0/race_model_single_batch.h5

  4. After the above file gets downloaded, paste it in the 'weights' folder of .deepface (present in C:\Users\ user_name )

  5. Now run python servery.py

  6. Go to browser and type localhost:5000 to access the site

About

Face recognition project for Microsoft Engage 2022 program

Resources

Stars

1 star

Watchers

1 watching

Forks

Releases

Packages

Used by

Contributors

Languages