End to End Face Recognition Project with Django and Machine Learning
#facerecognition #artificialintelligence #machineleanring #django
*Udemy* : https://www.udemy.com/course/complete...
**SkillShare**: https://skl.sh/3kxJMxy
An Artificial Intelligence Project.
Computer Vision & Face recognition is one of the most widely used in the area of Artificial Intelligence and Data Science. If at all you want to develop an end-to-end application in Data Science, then you need to be a master in Machine Learning / Deep Learning, and in addition to that, you need to have knowledge in Web Development.
This course is one stop course where you will learn End to End development of a Computer-Vision Based Artificial Intelligence Project from SCRATCH. As this course is a full-stack course we designed this course into 4 phases
Phase-1: Machine Learning - Face Identify Recognition
In this phase, we majorly cover the practical concepts related to machine learning models like data preprocessing, analysis, training machine learning, and model evaluation and selection (Grid Search Hyperparameter Tuning)
Here I will teach you how to develop face recognition models using machine learning
Phase-2: Machine Learning - Facial Emotion Recognition
Here we will develop another machine learning-based face recognition for facial emotion recognition.
Phase-3: Django Web App Development
In this phase, I will teach you how to develop a Web App with Django.
We will use a powerful framework which is the MVT (Models Views Templates) framework to develop the web app.
You will also learn how to design a database (SQLite) for the Web App in Django.
Integrate Machine Learning Model to MVT framework
I will also explain, styling using Bootstrap
Phase-4: Deployment / Production
In this phase, we will deploy the Django web app on a cloud platform which is the HEROKU cloud
I will explain all the necessary steps and installation to deploy the Django Project
If you want to become an AI developer this is the perfect course to starts with. Below given is the high-level abstract of the course and the learning objectives.
What you will learn?
Prerequisite of Project: OpenCV
Image Processing with OpenCV
Face Detection with Viola-Jones and Deep Neural Networks (SSD)
Feature Extraction with OpenCV and Deep Learning Networks
Project Phase - 1: Face Recognition and Person Identity
Gather Images
Extract Faces only from Images
Labeling (Target output) Images
Data Preprocessing
Training Face Recognition with OWN Machine Learning Models.
Logistic Regression
Support Vector Machines
Random Forest Classifier
Combine All Machine Learning Models using Ensemble Technique with Voting Classifier
Tuning Machine Learning Model
Model Evaluation
Precision
Recall
Sensitivity
Specificity
F1 Score
Accuracy
Project Phase - 2: Train Facial Emotion Recognition
Gather Emotion Images
Data Preprocessing
Train Machine Learning Models
Tuning Machine Learning Models
Model Evaluation
Project Phase -3: Django Web App Developed in Local (Computer)
Setting Up Visual Studio Code
Install all Dependencies of VS Code
Setting Virtual Environment
Freeze Requirements
Learn Django Basics
SETTINGS
URLS
VIEWS
TEMPLATES (HTML)
Face Recognition Django Project
Models Views Templates (MVT)
Design SQLite Database in Django
Store Uploaded Image in Database
Integrate Machine Learning to Django
MVT + Machine Learning Framework
Styling Django Web App with Bootstrap
Project Phase -4: Deploy Web App in Heroku Cloud for Production
Setting up Heroku Account.
Creating App in Heroku
Install Heroku CLI, GIT
Deploy Heroku in Cloud
Necessary Installation to Fix CSS in Heroku.
Watch video End to End Face Recognition Project with Django and Machine Learning online, duration hours minute second in high quality that is uploaded to the channel datascience Anywhere 20 November 2021. Share the link to the video on social media so that your subscribers and friends will also watch this video. This video clip has been viewed 1,772 times and liked it 14 visitors.
