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

• recognition page

• login page

• dashboard page

• uploader page