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What are some large-scale projects completed with Python?

Sep 08, 2023 pm 04:37 PM
python large projects

What are some large-scale projects completed with Python?

In this article, we will take a look at some large projects done using Python.

Python is currently one of the most popular programming languages. This trend looks set to continue in 2022 and beyond. Therefore, if you are just starting to learn Python, the best thing to do is to start working on some real-world Python projects.

Python is a programming language widely used for web development, game development, data analysis and machine learning.

The following are some large projects built using Python -

  • Face recognition employee attendance system

  • Real-time mask detection system

  • Next word prediction model

  • Weather Forecast Model

  • Flower recognition model

  • Build a new chatbot

  • Face Detection

  • music player

Facial recognition employee attendance system

"Facial Recognition Based Attendance System" is the first Python project you should create with the help of computer vision and multiple supporting libraries.

Employees who have registered in the system will complete attendance through facial recognition, and the system will notify you whether the employee is present or not.

However, you can program the system in other ways. However, for this project, you need an accurate database of people whose faces the device will scan.

Using the face recognition library, your code will be simpler and more accurate when recognizing faces.

This is the link to the source code: Facial-Recognition-Based-Attendance-System

Real-time mask detection system

This is the most incredible and essential project out there. This is the most popular project during covid times. Because it can detect whether people are wearing masks in real time.

This is how the real-time mask detection system works. If a person wears the mask correctly, a green rectangular symbol will appear on his face, indicating that he is wearing the mask well.

If the mask is not worn correctly on the face, a red rectangular sign will appear as a warning, indicating that the wearer is not wearing the mask correctly and should wear it correctly.

With the help of computer vision and some key libraries such as TensorFlow and Keras, you can develop an accurate face mask detection system with even a few lines of code.

Here is the source code link: Mask Detection

Next word prediction model

This is an incredible project and if you haven't done it before, you should build it at least once (language modeling).

Unknowingly, we've all adopted this method when sending text messages from the keyboard of our smartphones. Most keyboards automatically predict the next text we are about to type, and we just need to copy-paste it.

Google also uses this approach in its Gboard keyboard, guessing the next word based on your surfing history or preloaded data.

This is the link to the source code: Next word prediction model

Weather Forecast Model

Out of all the projects, this one is probably the most complex to develop as it will provide you with accurate weather forecasts.

To develop this model, you need accurate data for data analysis, graphing, and mathematical calculations.

Here is the link to the source code: Weather Forecast Model

Flower recognition model

There are so many kinds of flowers in the world that it is difficult to know the name of each flower. We can't remember the names or colors of all the flowers.

If you train a machine learning model to detect flowers, it will differentiate between color attributes as well as the name of the flower, even if they have the same design.

All you need to do is create a large and accurate flower data set. Once the scan is complete, the program you wrote to identify the flowers will do the rest.

Here is the source code link: Flower recognition model

Building a new chatbot

Chatbot programs have become increasingly popular in recent years, especially in the technology, business, and e-commerce fields.

On the other hand, a chatbot is an artificial intelligence-based program that imitates natural human language to communicate with humans to solve problems. When you open a website like this, you may notice an automatic notification appearing at the bottom. This is a chatbot that asks you if you need a question solved.

You can create a chatbot in Python using natural language processing. You will also need some libraries such as chatterbot, chatterbot_corpus and nltk

Here is the link to the source code: Building a new chatbot

Face Detection

Face detection is a technology that detects faces in photos or videos of people. This is the most essential responsibility of the OpenCV library, which uses computer vision to search for faces.

If you want to pursue a career in computer vision, this program is a great place to start.

When detecting faces from images, you can simply select any image to test the code. The program you write will do the rest after you select the image. The code will then draw a rectangle in the area of ​​the image where the face is seen.

Here is the source code link: Face Detection

music player

How about making your music player? This looks exciting, right?

To me, this seems very exciting. Don't just create a regular music app, but one that can search for files and explore music within the program's directory. Develop an interactive interface that other users can also use.

Consider adding features such as browsing tracks, volume control, song/artist/album/movie display, database management, algorithm development and data processing to create a fully functional application.

Notice

There are also many advanced Python projects with source code on GitHub. GitHub is a website where developers publish project descriptions and source code files.

in conclusion

This article teaches us how to build eight different large-scale projects using Python. In this article, we provide the source code of these projects.

The above is the detailed content of What are some large-scale projects completed with Python?. For more information, please follow other related articles on the PHP Chinese website!

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