Hey there ITSOURCECODER’S! In this article I will give you the 10 Exciting Python Projects For Resume that will expose you the best and top beginners and advanced python projects for resume In 2022.
In this guide, we will go through on how to use experience from your projects to help you with your resume or job applications.
Additionally, this article focus will be on the Top 10 Major Python Projects that can help boost your resume or job application in a job environment.
What are Python Projects For Resume?
There are many top and best python projects for a resume that you can include to enhance and improve your programming skills and show hiring managers your expertise.
10 Advanced Python Projects For Resume With Source Code
Here are the Best and Top Python Projects For Resume which is important to the company you applying for and will hire you automatically.
In this project you will learn how to use OpenCV to detect text in real-time using web-camera. OpenCV Python is a deep learning model, based on a novel architecture and training pattern.
In this project you will learn how to blur and anonymize faces using OpenCV and Python. In OpenCV Python Face Blur we are going to learn Realtime videos using OpenCV and try to learn with existing tools like Haar cascades and build Realtime Face Detection and Face blur.
Gender and Age Detection is a Deep Learning Project to accurately identify the gender and age of a person in a single image of a face.
This project is used in CCTV Cameras to detect any kind of motion in the video frame. In this blog, we are going to make a motion detection script using OpenCV in Python.
A Motion Detection Algorithm Capture Video, in which you have to detect movement using OpenCV in Python. In many applications based on machine vision, motion detection is used.
For example, when we want to count the people who pass by a certain place. In all these cases, the first thing we have to do is extract the people who are at the scene.
There are several different types of traffic signs like speed limits, no entry, traffic signals, turn left or right, children crossing, no passing of heavy vehicles, etc. Traffic signs classification is the process of identifying which class a traffic sign belongs to.
A Traffic Signs Recognition Project is a deep neural network model that can classify traffic signs present in the image into different categories. With this model, we are able to read and understand traffic signs which is a very important task for all autonomous vehicles.
Emotion Detection is a widely researched topic in today’s Deep Learning arena. To classify your emotions in real-time using just your camera and some lines of code is actually a big step towards Advanced Human Computer interaction.
A Emotion Detection OpenCV Python Detecting the real-time emotion of the person with a camera input is one of the advanced features in the machine learning process. The detection of the emotions of a person using a camera is useful for various research and analytics purposes.
The detection of emotion is made by using the machine learning concept. You can use the trained dataset to detect the emotion of the human being. For detecting the different emotions, first, you need to train those different emotions, or you can use a dataset already available on the internet.
Car or Vehicle Detection is one of the widely used features by companies and organizations these days. This technology uses computer vision to detect different types of vehicles in a video or real-time via a camera.
A Car Detection OpenCV Python finds its applications in traffic control, car tracking, creating parking sensors, and many more. In this, we will learn how to build a car tracking system in python for both recorded and live cam streamed videos.
This Project is to learn the concepts of a CNN and LSTM model and build a working model of Image caption generator by implementing CNN with LSTM.
The image features will be extracted from Xception which is a CNN model trained on the imagenet dataset and then we feed the features into the LSTM model which will be responsible for generating the image captions.
Drowsiness Detection is a safety technology that can prevent accidents that are caused by drivers who fall asleep while driving.
A Drowsiness Detection OpenCV Python project, we will be using OpenCV to gather the images from webcam and feed them into a Deep Learning model which will classify whether the person’s eyes are ‘Open’ or ‘Closed’.
This Object Detection script is a simple experimental tool to detect common objects (COCO) easily with your built-in webcam.
It uses OpenCV’s readNet method and uses the external yolov3-tiny model (which can be upgraded to the full sized model).
OpenCV’s readNet method only runs on CPU (and not GPU), is very intensive, and therefore, it will not be optimal for big AI projects.
We have completely discussed and compiled the best and top Python Projects For Resume or Job Application. I hope this article can help you a lot in getting hired by a company.
By the way, If you have any questions or suggestions about this article, Please feel free to comment below.