Studying artificial intelligence and machine learning can be quite daunting. To help you, we have prepared the following article on artificial intelligence projects in Python.
After reading this, you’d have plenty of artificial intelligence project ideas in Python. Let’s get started
Artificial Intelligence Projects in Python
1. Fake Review Detector
Everyone reads online reviews. Yelp, Trustpilot, Gripeo, and even Google My Business are well-known review sites where consumers come to check others’ reviews on businesses. However, some companies try to deceive customers by adding fake positive reviews. You can create a classifier that can recognize fake reviews and ensure that no fake reviews are allowed on the site.
Fake reviews tend to have specific tones and words which you can train your model to identify.
It’s a beginner-level project, so if you haven’t worked on artificial intelligence project ideas in Python before, you can start with this one.
2. Handwriting Recognizer
Computer vision is a central section of artificial intelligence. If you’re interested in using computer vision, then you can start with this project. Here, you have to create a solution that recognizes the handwritten content. You should be familiar with the basics of computer vision to work on this project.
However, it’s also a beginner-friendly task. You should start training your solution with simple symbols such as 0 and 1, then move onto more complicated characters.
3. Spoiler Blocker
In this project, you’d have to create a tool that identifies spam and blocks it automatically. It can be handy for discussion forums and platforms such as Reddit and Tumblr. We all hate spoilers, and if you’re interested in creating a tool related to media and entertainment, then this is the right project for you.
You can add the name of your show or movie, so if it’s mentioned somewhere, the tool will cover it with an image of your choice.
Working on this project will help you learn about natural language processing, which is quite a prominent section of AI and ML.
4. Spam Identifier
We have another natural language processing project for you. In this one, you have to create a tool that identifies spam content. Spam identifiers are commonplace these days. From Gmail to Truecaller, many devices use spam identifiers to streamline their user experience.
You can create one with natural language processing. Like the fake review project, you’ll have to identify specific tones and words prevalent in spam emails.
Then, you’d have to use that data to train your model.
5. Traffic Analyzer
In this project, you’d have to build a traffic analyzing tool that suggests the optimal path for reaching a specific destination. The tool should check the different factors such as traffic density, length of a path, and the mode of travel while suggesting the right path to take.
You can take inspiration from Google Maps for this project. Apart from Google Maps, online taxi companies such as Uber and Ola utilize this technology as well.
That’s why working on this project would benefit you substantially.
6. Opinion Mining for Website
Sentiment analysis is among the most popular uses of artificial intelligence. In this project, you’d create a solution that analyses users’ comments about a website to see what’s the general opinion about that website.
7. Fire Detection and Localization Through Camera
You can create a solution that detects fire and localizes it through the surveillance cameras’ feeds. It’s an intermediate-level project, and you’d need to use CNN here.
At first, you should begin with a fire identifier and then add the ability to locate the fire so people can escape safely.
8. Game Automator (T-rex Dino)
Nearly every internet user has played Google Chrome’s Dino game. It’s the game where you control a dino that runs continuously and has to avoid obstacles through jumping up or bowing down. You can create a machine learning solution that automates the Dino and learns from its mistakes.
To work on this project, you should be familiar with reinforcement learning algorithms. This project is a great way to get a fantastic high score.
Checkout: 15 Interesting ML Projects for beginners
Why You Should Use Python for These Projects
There are many advantages to using Python for AI. When you start learning artificial intelligence and machine learning, you might wonder why Python is so prevalent in this field.
The biggest reason behind Python’s immense popularity is its various libraries. You can say that it has a library for nearly every imaginable task. Python has scikit-learn, NumPy, TensorFlow, and many other libraries that make ML easy.
AI and ML tasks require a lot of coding. Python’s pre-defined packages make this process much more straightforward as they reduce the amount of code you’d need to write.
Python is among the easiest programming languages to learn. Its syntax is very straightforward, which makes it accessible to everyone. This has played a massive role in making it a popular choice for AI and ML professionals.
Another huge reason behind Python’s widespread popularity is its compatibility. You can use Python with all the major systems, including Windows, macOS, Linux.
Because Python has been around for a long time and has many advantages, it has built a thriving community. Its community is very helpful and supportive. This makes it very suitable for beginners in AI and ML.
Why AI is in Demand
AI emerged in the 1950s, and since its arrival, it has grown exponentially. However, you might have noticed that the demand for AI professionals has grown substantially in recent years. You might wonder, “If AI has been around for over six decades, why has it gotten so popular recently?”
Our technological advancements have played a significant role in making AI accessible. Artificial intelligence and machine learning implementations demand a lot of computing power, which was not available before. Since the 1950s, our computing power has increased a trillion-fold, making it easier for us to perform AI processes.
Thanks to smartphones and the internet, the amount of data we generate every day has increased exponentially. We share social media posts, read news articles, shop online, and do a lot of stuff, all of which generate data. The most effective way to handle all of this data is through AI and ML.
The rise of tech giants such as IBM, Microsoft, and Tesla has considerably helped AI become popular. They made the financial commitments necessary that field research in this sector.
Now that we have discussed why we recommend doing artificial intelligence projects in Python and why this technology has become so popular let’s start discussing some artificial intelligence project ideas in Python.
Start Working on Artificial Intelligence Project Ideas in Python
We hope that this article on artificial intelligence projects in Python removed your doubts and questions regarding this topic. The only thing left now is to start working on a project and explore your knowledge. If you have any questions or suggestions regarding these project ideas, please let us know by dropping a comment below. We’d love to hear from you. On the other hand, if you want an individualized learning experience, you can get an AI course.
As you can see, AI is an amazingly powerful tool and startled the world many times, which we can use you in many industries. From finance to social media, it has already become a crucial part of many companies.
If you are keen on learning more, checkout IIIT-B & upGrad’s PG Diploma in Machine Learning and AI Program.