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Face-Recognition

Project For IITIsoc
This project is made using face-recognition library with opencv and frontend is developed using Bootstrap framework with some personal customizations and backened is developed using flask framework.

Requirements

  • This model requires latest version of python.
  • It requires dlib library which is coded in c++ and requires installation of visual studio with developer tools in c++.
  • All other libraries have to be imported from text file requirements.txt

Files Description

  • Templates - This folder has html files for the hosting of this model.
    • Index.html - It is the first page which contains START button which redirect to recognition.html. On the top it has a navigation bar which has admin controls.
    • recognition.html - This webpage has a window to show webcam with your name and also has a END button which redirects the user to index.html.
    • login.html - This webpage has a signin option for the admin to add more images in the ImageBasics folder which our model can recognize.
    • dashboard.html - This webpage allows the admin to upload images by renaming it.
    • uploader.html - This webpage shows the message that image is uploaded successfully and has a BACK button.
  • app.py - It is a python file which has all the code related to face-recognition model.
  • ImageBasics - This folder contains all the images which the model can recognise.
  • static - It contains homepage photo and css files which is used in designing.

Team Members

  • Amit Kumar Makkad
  • Bhavya Contractor
  • Priyansh Jaseja

Mentors

  • Miten Shah
  • Bharat Gupta
  • Anjali Singhal

Screenshots of our model

  • Homepage

Homepage

  • recognition page

recognition

  • login page

login

  • dashboard page

dashboard

  • uploader page

uploader