Explore artificial intelligence projects to add to your portfolio, whether you’re looking for a job or wanting to advance your career to a senior-level role.
Artificial Narrow Intelligence (ANI), Artificial General Intelligence (AGI), and Artificial Super Intelligence fall under the more commonly known term Artificial Intelligence or AI. Explore projects at all skill levels to use on the job or to enhance your portfolio.
Artificial intelligence (AI) uses computers or other systems to mimic human intelligence to perform various tasks. AI replaces many aspects of human interaction. For example, AI can take food and drink orders at a restaurant and guide you through traffic. AI can also drive a car for you. Self-driving vehicles use AI, but they aren’t entirely autonomous. As AI becomes more common, jobs in machine learning, data science, big data engineering, and others are increasing.
When applying for a position in AI, you’ll want a portfolio showcasing your best work. If you’re a beginner and need project ideas to build a portfolio or have experience and want to add to an existing portfolio, this article will help you find projects to suit your needs.
Under the broader umbrella of AI, you’ll find three types of artificial intelligence, each defined by its capabilities. They include:
ANI: Artificial narrow intelligence has limited capabilities and focuses on one functional area. The AI we use today, including Alexa and the projects mentioned below, falls into this AI type.
AGI: Not yet realised in real-world applications, artificial general intelligence works much like the human brain, with capabilities like problem-solving. Experts believe it’ll still be years or decades before AGI is possible.
ASI: Artificial superintelligence goes beyond human intelligence and capabilities in every conceivable way. This technology can also form relationships and experience emotions. Similar to AGI, this has not yet been realised.
Beginner projects can show prospective employers your programming skills in Python, R, Java, and C++. You can focus your portfolio on the industry you wish to work in and showcase your abilities with projects like the following ideas.
Many industries and individuals use plagiarism-checking software. Educational institutions use plagiarism checkers to ensure students submit their work. In contrast, news organisations use them to check their content and to check to ensure no one has plagiarised their articles.
You can practice your programming skills and prepare a portfolio project on GitHub using your Python skills.
Computers and smartphones use next-word predictors to aid users with writing. The next word predictor displays the word or words it senses will be next. Think of the predictive text feature on an iPhone. With most applications, the predictor can be turned on or off so the user can decide if they want the algorithm to make word suggestions.
You can use natural language processing (NLPP to build a next-word predictor and add deep learning skills to your portfolio.
With so many online product and business reviews, it’s difficult for the average person to determine which are real and which aren’t. Fake reviews have been a problem for many websites, but a fake product review identification program can weed out spam reviews.
You can build your corpus to train machine learning programs to weed out deceptive reviews from truthful ones or use one already built on Kaggle or GitHub.
If you have more advanced skills or want to gain more experience, these intermediate projects will enhance your portfolio. They show a more in-depth understanding of AI.
Smartphones use face recognition as a security measure. Some airports match passport photos to people's faces. Social media apps scan pictures and identify users to prevent others from misusing their identities.
Use deep learning to build a model that recognised faces and facial expressions. You can use the source code on the GitHub website or even Coursera.
Suppose you’re applying for a role in the sales industry. A sales predictor project can enhance your portfolio and show prospective employers your skills in developing an algorithm to forecast sales. Take it a step further and start a stock price predictor as well. This project can be a large undertaking and will take some time.
The source code for a sales prediction model can be found on GitHub, Kaggle, or Coursera.
Not only can CV analysis show how you can develop cutting-edge software, but you can also find how you rank amongst your competitors. The CV analysis AI will let you sort CVs according to expertise, skills, education, and any category you choose to program.
This software is used by recruiters to shift applications and to shortlist for interviews.
You can find source code on GitHub using a resume or CV analyser. Use the models to build a project to analyse your CV and provide feedback.
If you’re keen on a senior-level AI role and have the experience to build complex systems, advanced projects will make your portfolio stand out. The advanced projects will take time, so plan to have at least one ready for an interview.
Advanced artificial intelligence addresses more in-depth projects, such as voice-activated personal assistants. These AI applications are becoming increasingly common. Many newer vehicles come equipped with GPS systems that give spoken directions, and connecting a phone to a vehicle’s Bluetooth enables Siri or another AI personal assistant. Alexa is in many homes, turning lights on and off, playing requested songs, and looking up a favourite recipe on command.
According to Payscale, an experienced machine learning engineer can earn an average salary of ₹22,00,000 [1]. Try one of the following projects or build your own from scratch.
Face aging can show what a person will look like decades into the future. This can help law enforcement locate persons missing for many years, especially children who would now be adults.
Many source codes on GitHub provide practice in translating young faces to old and old to young. Many will help you train your skills in GAN, a type of deep-learning architecture.
Add a self-driving car project to your portfolio if you're up for a challenge. You can find the source code on GitHub for various AI applications, such as lane detection, behavioural cloning, and road segmentation. Some are more advanced than others, but they will provide you with insight into how self-driving cars learn.
Artificial intelligence is a growing field. If you’re keen on a career in AI and a portfolio showcasing your best projects, you can add certificates to supplement your resume or CV.
For example, the IBM AI Developer Professional Certificate teaches Python and machine learning entirely online and takes approximately six months to complete. Another option is the IBM AI Engineering Professional Certificate, which takes about four months to complete and includes a certificate and a digital badge from IBM. AI For Everyone Specialisation is a beginner-level course also offered by IBM on Coursera.
If you want to explore machine learning, the Machine Learning For All course offered by the University of London on Coursera will give you basic knowledge of machine learning technology. You can complete this online course in approximately 21 hours.
Payscale. Average machine learning engineer salary in India, https://www.payscale.com/research/IN/Job=Machine_Learning_Engineer/Salary/bf101473/Experienced. Accessed 11 December 2024.
Editorial Team
Coursera’s editorial team is comprised of highly experienced professional editors, writers, and fact...
This content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.