Learning about artificial intelligence is not easy, but it’s hard. You understand the basics better when you start with the right artificial intelligence course materials and work on a few hands-on projects. To understand AI and use it to solve business problems, you need to know the most up-to-date tools and techniques in this field.
Great Learning has a course called “Artificial intelligence projects,” for which you can sign up. If you do, you will get a free online certificate. In this article, we’ll show you 7 interesting project ideas for artificial intelligence to help you learn more about the technology.
Reinforcement learning helps you learn to drive.
This project aims to assist the driver in finding the space on the race track between the gaps. It’s supposed to help him learn how to drive by helping him find a way around the problems he runs into on the race track. The reinforcement learning method is used in this idea for an AI project. Reinforcement learning is a type of machine learning that looks at how smart agents should act in their current environment to perform best.
It uses a combination of artificial neural networks and reinforcement learning architecture to help the software agents take the best action to reach their goals. Most self-driving cars use algorithms based on reinforcement learning, which is a way for machines to learn how to act by interacting with their surroundings.
The Face Recognition System
Face recognition is a biometric software application that can also be called a “Biometric Artificial Intelligence-based application.” It identifies or verifies a person’s identity by analyzing patterns based on the shape of their face. Face recognition systems are made with the help of pattern recognition, deep learning, face analysis, and machine learning.
It starts with face detection, face analysis, turning an image into already available data, and finding the right match. This is among the most popular ideas for AI projects because it can be used in many fields. Face scanning in colleges, health apps like Face2Gene, and even the tech giant Apple, which uses facial recognition to unlock iPhone X, all use this method.
AI-driven automation system
This system is especially useful in banking and finance, where many transactions happen daily. AI can be used to find fraud in transactions, whether it’s already happened or is about to happen. The automation system that AI powers have automation software that uses a search engine.
With email and phone services, these tasks are done by a machine. For example, you will first talk to the chatbots when you call the bank. These chatbots will understand what you’re asking and give you the right answer. You’ll be sent to a human customer service representative if it can’t do that.
The Wine Quality Analyzer
This is probably the most interesting one yet! Who would have thought a certain data set could tell you how good the wine is? Yes, we know that wine gets better with age. But here, we’re talking about the amount of alcohol, the pH level, how acidic it is, and much more.
You can easily use artificial intelligence to test the quality of the wine based on these factors. You can try the algorithm with different architectures to see how it works each time. This is among the most creative ideas for an AI project I’ve seen.
Advertisements and Product Suggestions
This field goes to a new level when AI is used in digital marketing, ads, and product suggestions. As soon as you go to a website to look for things to buy, an algorithm looks through a bunch of ads and suggests the ones that you might be most interested in. Tech giants such as Google and Amazon, which depend on ads to sell their products, use these ads and product suggestions.
Essay raters and Plagiarism Analyzers
When done by hand, it takes significant time to grade students’ essays. Also, it’s almost impossible to use every tool to check for plagiarism and see if the content is real. This is why we need essay graders and tools that check for plagiarism. AI-powered essay graders can help professors grade their students’ work faster and more accurately. Also, AI plagiarism checkers can look through many online contents to find duplicates.
Sales Predictor
And we know that there is always more stock than they need. How in the world do you believe they keep track of how many of each product they sell? This is when the sales predictor arises to help. These big markets’ data sets are easy to find on the Internet. You can use a large data set to predict sales by making a complex algorithm. This is an additional good AI project which will teach you how to use various algorithms and how they work.
Conclusion
If you are new to AI, working on different projects is a good way to learn. This will also help you understand ideas better and give you the confidence to make more complex projects.
