The-Many-Faced-Bot

It is a BOT that can recognise anyone whose Face is present in the database. GOT fans will get it!! ;p

Introduction

Folks going through deeplearning must have come across the google's fascinating research paper FaceNet and it's Triplet Loss which is the best right now. In this project, I have trained a model on the basis of the paper and used that model to make this BOT.

Requirements to run this project

• Tensorflow-gpu
• Keras
• OpenCV

Instructions to run this project

• Go to terminal and type "python3 many_faced_bot.py"
• Follow the instructions further displayed on the screen(*Press 1 to add face, 2 to detect face, 3 to exit)

Milestones

• Make a model and train it on LFW dataset
• Test model for accuracy(more than 99% achieved)
• Save the model and deploy it on CLI application
• Capture and Store Photos in a database and use those to Recognise
• Deploy it on webapp or window-based-app(for webapp Django is preferred)
• For Face-Detection only the lively face is detected and not a printed photo or anything
• Integrate the BOT with Ubuntu-OS and make a Face-Unlock-System