Top Artificial Intelligence Projects To Sharpen Your Skills

Artificial Intelligence has made a significant impact on our daily lives. Every time you scroll through social media, open Spotify, or do a quick Google search, you are using an application of AI. The AI industry has expanded massively in the past few years and is predicted to grow even further, reaching around 126 billion U.S. dollars by 2025. Multinational companies like IBM, Accenture, and Apple are actively hiring AI practitioners. The median salary of an AI engineer as of 2022 is $171, 715 that can go over $250,000.

Artificial intelligence (AI) is a highly desirable and profitable field. Transportation, healthcare, manufacturing, and finance are among the industries that largely rely on AI technologies to speed up procedures and reduce human error. However, the AI sector is highly competitive, and becoming an expert in the field necessitates continuous learning.

Only learning theory is not enough. That’s why everyone encourages students to try artificial intelligence projects and complete them. From following the artificial intelligence trends to getting their hands dirty on projects. So, if you are a beginner, the best thing you can do is work on some real-time Artificial Intelligence project ideas.

In this article, we show projects that can help you advance your skills in this thriving field, whether you are a beginner or an expert. We also highlight the key skills that you need to focus on and give you tips for organizing your digital portfolio.

5 Skills That Artificial Intelligence Projects Can Help You Practice

Artificial intelligence (AI) uses advanced software and reducing hardware to construct systems that mirror the human mind’s decision-making process. You’ll need certain computing and analytical skills to perform the AI projects in this post, which we’ll go into later.

  • Programming. Coding is a crucial skill in AI. Python is an industry favorite because it has packages for AI and machine learning. Other programming languages used in AI are C++, AIML, Perl, Lisp, Prolog, Smalltalk, STRIPS, Planner, and MATLAB.
  • Data analysis. When working on a project, AI professionals must deal with a large volume of data. They should have a working knowledge of data analysis foundations and technologies such as Apache Spark and other data processing frameworks in order to interpret and process datasets.
  • Machine learning algorithms.  Basic machine learning methods such as logistic regression, linear regression, SVM, decision trees, Naive Bayes, KNN, K-means, and random forest are required to construct functioning machine learning applications.
  • Unix-based tools. Data processing in AI is the conceptual basis of Linux systems. To grasp standard AI functions, you will need to learn Linux-based tools such as global regular expression print (GREP), AWK, and Sort.
  • Artificial neural networks. Artificial neural networks (ANNs) are algorithms that imitate the operations of the human brain. To tackle challenges in AI applications for face, pattern, and handwriting recognition, you must first get a basic understanding of this computational system.

Best Artificial Intelligence Project Ideas for Beginners

As a beginner, the best way to learn artificial intelligence is to get hands-on experience through relatively simple projects. Below you will find some of the most popular project ideas for beginners.

Without much ado, let’s explore 20 Artificial Intelligence projects you can build and showcase on your resume. These AI projects will have varying levels of difficulty as beginner, intermediate, and advanced.

1. Stock Price Prediction

This project is one of the top Artificial Intelligence project ideas for beginners. Machine learning scientists are big fans of the stock market. This is due to the fact that it is extremely dense with information. You can get a variety of data sets fast and start working on a project.

Students interested in working in the finance industry will like this assignment since it will provide them with valuable insight into many aspects of the industry. The stock market’s feedback loops are also short, which aids in verifying your forecasts.

In this AI project, you may try to forecast 6-month price fluctuations of a stock using data from the organization’s given reports.

2. Chatbots

One of the best AI-based projects is to create a chatbot. You should start by creating a basic chatbot for customer service. You can take inspiration from the chatbots present on various websites. Once you’ve created a simple chatbot, you can improve it and create a more detailed version of the same.

artificial intelligence projects chatbot

You can then switch up the niche of the chatbot and enhance its functions. There are many new chatbots you can create using AI.

3. Enron Email Dataset Investigation

When Enron, the infamous energy giant, went bankrupt in 2001 following a scandal involving fraudulent business practices, it left behind a large collection of emails and messages. In total, 150 emails and 500,000 messages were made available to the public with the goal of unveiling more of the financial crimes committed by company executives.

If you are interested in programming and machine learning techniques, you can use this dataset for training in network analysis, investigation, and anomaly detection. The challenge is to use the data to develop models and systems that can be employed in finding persons of interest. 

4. Product Recommendation Systems

Product recommendation systems are commonly used in eCommerce to drive profits, increase conversion rates, improve the user experience, and boost customer loyalty. These systems rely on an algorithm that uses customer search queries, location, past purchases, and viewing history.

Creating a recommendation system will allow you to practice skills like machine learning, data mining, programming, and neural networks. Python, R, and Java are some of the languages commonly used to build these systems.

5. Heart Disease Prediction

This project involves creating an application that can diagnose heart-related problems based on information entered by the patient. Patients can use this application as a free online consultation of sorts. Once the patient enters their information and is given a diagnosis, the app can connect them to a doctor that specializes in their specific heart condition. This project is ideal for those interested in creating AI-based medical equipment to improve healthcare services.

6. Image Processing

Machines can now interpret images, which has enormous benefits in medical imaging, gaming, surveillance, and law enforcement. With image processing techniques, AI applications can enhance photos, restore quality, change colors, and compress image sizes. AI-based image processing uses machine learning frameworks and deep learning models.

7. Facial Recognition and Detection

Building a facial emotion detection or facial recognition system is a great way to practice deep learning. Deep learning, a subset of machine learning, is a revolutionary technology that imitates human intelligence. It is widely used to create virtual assistants, driverless cars, and facial recognition applications. This project is all about creating a program capable of reading human facial expressions and classifying them.

8. Plagiarism Checker

Plagiarism detectors have numerous benefits. Content creators can use them to check if someone is using their work without authorization, and editors can use one to determine if a writer has submitted stolen work. 

In this project, you will build a Python Flask app that finds plagiarized content using Pinecone, a vector database. Building a plagiarism checker is a great way to advance your programming skills.

9. Self-driving automobile 

Self-driving automobiles are made feasible by machine learning algorithms. They enable an automobile to acquire data from cameras and other sensors about its surroundings, analyze it, and decide what actions to take. Cars can even learn to execute these jobs as well as (or better than) people thanks to machine learning algorithms.

Tesla and Google, for example, have been in this industry for a long time contributing to the significant progress in this area. In congested areas and on rough roads, AI is employed to assist the car. 

This project might be considered when AI simulation software and algorithms are required to detect cars from all sides, control road conditions, speed, and brake, and prevent collisions using complicated mathematics and image recognition systems. Individuals who are AI enthusiasts in college or who have recently graduated from college can participate in this project. 

10. Advertising and Product Suggestions

The application of AI in digital marketing, advertisements, and product recommendations elevates this sector to new heights. Because of the widespread use of electronic gadgets, people are increasingly spewing out personal data on an unprecedented scale, whether intentionally or unknowingly.

An algorithm analyses a pile of advertisements and proposes the most relevant adverts that you could be interested in the minute you start exploring a website to check out some goods to buy. It is based on many people’s characteristics and behavioral tendencies.

Tech companies like Google and Amazon, who rely on ads to promote their products, employ these advertising and product suggestions.

Conclusions

Learning AI can be quite easy if you have the right guidance, mindset, and study material. We’re sure that these projects will help you in enhancing your expertise in artificial intelligence. And by looking at the variety of projects present, you must’ve figured out how powerful AI is.

Learning AI can be quite easy if you have the right guidance, mindset, and study material. We’re sure that these projects will help you in enhancing your expertise in artificial intelligence. And by looking at the variety of projects present, you must’ve figured out how powerful AI is.

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