Description:

In this era of deep learning and machine learning , the beginners may get lost sometimes , as there is a steep learning curve involved with the process . When I was starting out on machine learning , I always wanted to get my hands dirty in the advanced stuffs but It was hard for me and there was no guidance . So , in this talk and coding session I will guide you through how you can build your own facial recognition system and implement a smile detection very quickly and easily with the power of openCV and python . It will take 10 mins and any beginner with basic knowledge of python can grasp the concepts easily . I will not use convNet or anything ,but a model called HaarCascades . It's an old mathematical model which was/is mainly used where deep learning is not an option . I will guide you through the basics and tell you some quick things and facts and we will enjoy a lot .

See you on pyCon 2018 ! kindly upvote if you want some quality 10 mins learning something new .

Prerequisites:

Basic Python knowledge

Content URLs:

The code is in this repo : https://github.com/KaustabhGanguly/Smile-Detector

:)

Speaker Info:

I'm a 3rd year Engineering student at Kalyani Government Engineering College , West Bengal , India . I'm a data science enthusiast and I interned at a machine learning startup called param.ai from June till August , 2018 . I'm obsessed with AI and my hobby is to study new cutting edge deep learning algorithms and research papers .

Speaker Links:

Follow me on github : github.com/kaustabhganguly Connect with me on linkedin : linkedin.com/in/kaustabh