Best AI Projects in 2022 (with Source Code)

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Artificial intelligence is going strong. We are living in an age where we are seeing normal life amalgamating with AI-powered products and services. May it be the IoT, 5G, driverless cars, voice assistants and smart speakers, or space research, AI is helping humans explore new horizons in terms of productivity, development, and possibilities.

Due to the rapid expansion in the applicable AI, numerous opportunities are seeing the light of day. As such, working in the field of artificial intelligence is becoming more and more lucrative.

To learn AI, you can go through books, tutorials, webinars, courses, certifications, and so on. No matter what path you choose, the best way to learn AI is by getting hands-on experience, i.e., by working on AI projects.

So, to help you out on your journey to explore the multi-dimensional realm of artificial intelligence, here are our recommendations of the 10 best AI projects for professionals and hobbyists of all levels.

Note: Looking to get started with AI theory but don’t know where to start? Check out these best 10 AI books for beginners that will help you understand the convoluted field of artificial intelligence better.

Best AI Projects in 2022

AI Project Idea 1 – Digits Recognition (Handwritten)

Difficulty – Easy

Expected Time for Completion – A few hours

Handwriting is something that differentiates people well and that’s why we have signatures. A basic AI project idea is to leverage the power of artificial intelligence to develop a system that could identify handwritten digits.

This is slightly challenging as the size and shapes of characters that people write vary greatly. For this, you need to use character recognition techniques.

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AI Project Idea 2 – Facial Recognition and Detection

Difficulty – Advanced

Expected Time for Completion – A few weeks

This is one of the most common AI projects among learners. For accomplishing this project, you need to have a good understanding of deep learning, specifically facial recognition.

It’s been quite some time since research and analysis were done on facial emotion recognition, however, it’s only recently that it has started showing some useful results.

A facial emotion detection and recognition system is designed to detect and interpret the facial expressions of humans. Such a system is capable of detecting human facial emotions – such as happiness, anger, sadness, neutral, and surprise – in real-time.

The Process

  • The facial emotion recognition system detects facial expressions from a recorded scene and performs facial feature extraction and facial expression classification.
  • Enforce a CNN (convolutional neural network) for training a dataset. The dataset contains several facial features, such as anger, fear, sadness, happiness, and neutral.
  • The facial emotion recognition system can then further differentiate between good and bad emotions and label the detected facial emotion.

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AI Project Idea 3 – Song Genre Identification System

Difficulty – Intermediate

Expected Time for Completion – A few days

As the name suggests, this AI project deals with identifying the genre of a song. For doing so, the song genre identification system leverages an artificial neural net, librosa, and MFCC (Mel-frequency cepstral coefficients).

The Process

  • Playing (feeding) a song to the song genre identification system.
  • Using the librosa Python package to extract features from the song.
  • Use MFCC to detect the genre of the song.

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AI Project Idea 4 – Lane Line Detection

Difficulty – Easy

Expected Time for Completion – A few hours

Many autonomous (self-driving) vehicle systems leverage lane line detection techniques. It is also used by robots to walk. For detecting lanes, we need to use computer vision techniques like color thresholding. Thus, you need to use machine learning libraries for developing this project.

Depending on whether you want to develop a simple or complex system, you can add functionalities to such an AI-powered system.

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AI Project Idea 5 – Prediction of Stock Prices

Difficulty – Easy

Expected Time for Completion – A few hours to a few days

Another beginner-friendly AI project idea is building a system that can predict stock prices. Data enthusiasts adore the stock market as it has loads and loads of data. There are all sorts of data from which you can prepare a dataset and get started. You can even prepare multiple datasets.

Developing a stock price predictor is a great idea if you’re into finance. One of the most notable aspects of working with stock market data is that the feedback cycles are short. Hence, this makes it easy to validate your predictions.

Initially, you can develop a system that predicts the 3-month or 6-month price movement of certain stocks by using their provided data. For developing a stock predictor, you can leverage the Plotly dash Python framework and Long Short-Term Memory (LSTM) model.

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AI Project Idea 6 – User Preferences Collection

Difficulty – Intermediate

Expected Time for Completion – A few days

When we search for something over the web, we leave an invisible blueprint of our preferences. These preferences get recorded on the basis of the browsing behavior in a distinct sequence of domains. User groups are segmented based on browsing habits and social media opinions.

For this artificial intelligence project, you will extract different navigation profiles on the basis of a consecutive sequence of domain visiting order and the route followed for a specific socio-demographic profile.

Next, you need to define an algorithm for extracting frequent contiguous sequences and use Bonferroni and FDR corrections for retrieving socio-demographic characteristics.

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AI Project Idea 7 – A Clone of Gmail’s Smart Reply

Difficulty – Advanced

Expected Time for Completion – A few weeks

Another great idea for an AI project is cloning Gmail’s Smart Reply. The feature uses a machine learning algorithm for suggesting replies while typing an email in Gmail. In this, each hierarchical model is capable of learning, remembering, and recognizing a sequential pattern.

While deciding to reply, the Smart Reply feature also considers whether it is a positive or negative gesture. The feature uses recurrent neural nets, the LSTM model, and semantics.

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AI Project Idea 8 – Chess

Difficulty – Intermediate

Expected Time for Completion – A few days

This is although a simple project, the better you know about AI, the better you can develop a smart competitor. After all, chess is all about strong competition.

Here you need to use machine learning to develop a system that can learn with its experience and get smarter over time.

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AI Project Idea 9 – Chatbot

Difficulty – Intermediate

Expected Time for Completion – A few days

Chatbots are one of the most popular outcomes of machine learning and AI. Hence, it is one of the best AI project ideas to work upon. To get an idea of how a basic chatbot for customer service should work, you can check out different eCommerce and other service-based websites.

Creating chatbots using AI has numerous possibilities. Once you create a basic chatbot, you can enhance it eventually and add more details to it. The main functions of the chatbot depend on the niche.

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AI Project Idea 10 – Developing an NLP-based Project Using XTREME

Difficulty – Advanced

Expected Time for Completion – A few weeks

XTREME is a massive multilingual model that has 40 languages and a galore of reasoning-based tasks. It is a project from Google that includes several natural language processing concepts, including sentence classification, sentence retrieval, and question answering.

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Some More AI Projects to Explore

Can’t get enough of AI projects? Well, try these great artificial intelligence project ideas:

Conclusion

Artificial intelligence is one of the rapidly evolving fields. As such, it offers many lucrative working opportunities to interested candidates. However, it is a vast field that requires knowledge of many concepts. Thus, you need to learn continuously.

In addition to books, online tutorials, and other learning material, you can work on AI projects to better learn the way artificial intelligence works. Wish you luck!

Anything wrong up there? Let us know via the comments section below. Thanks already.

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