Face-Recognition-WebApp

A Facial Analysis Web-App deployed live on Heroku.

This is a Facial Analysis WebApp build with the help of Django and Deep Neural Networks.

Features

• This WebApp crop the face from the picture.
• Compute the face detection score which tells that we have detect the face correct from the image.
• Name of the person in the picture.
  This WebApp can only tell the name of few celebrities since the model is trained only on given list of celebrities.
  
  • Aamir khan
  • Angelina Jolie
  • Barack Obama
  • Cristiano Ronaldo
  • Donald Trump
  • Elon Musk
  • Joe Biden
  • Leonardo DiCaprio
  • Lionel Messi
  • Robert Downey Jr
  • Roger Federer
  • Sachin Tendulkar
  • Salman Khan
  • Scarlett Johansson
  • Tom Cruise
• Face Name score (Analyse the name of the person based on the images on which it has trained)
• Emotion Name (Angry, Disgust, Fear, Happy, Neutral, Sad, Surprise)
• Emotion Score (how accurately we have detected the emotion score)

Steps to run on your local machine

1. Clone this repo

https://github.com/jatin9909/Face-Recognition-WebApp.git

2. cd into directory

cd facerecognition

3. Download the requirements

pip install -r requirements.txt

4. Runserver

python manage.py runserver

5. Open web browser at http://localhost:8000