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 2023
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.
References:
- Deep Learning Project – Handwritten Digit Recognition Using Python
- Deep Learning – Handwritten Digit Recognition using Python and MNIST
- Handwritten Digit Recognition Using Artificial Intelligence on a Low-Cost FPGA Board
- Handwritten Digit Recognition using Machine and Deep Learning Algorithms
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.
References:
- Facial Recognition Using Convolutional Neural Networks and Implementation on Smart Glasses
- Development of a Real-Time Emotion Recognition System Using Facial Expressions and EEG based on machine learning and deep neural network methods
- Realtime Face Emotion Recognition | Python | OpenCV | Step by Step Tutorial for Beginners
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.
References:
- Identifying the Genre of a Song with Neural Networks
- How does Shazam work? Music Recognition Algorithms, Fingerprinting, and Processing
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.
References:
- Road Lane line detection – Computer Vision Project in Python
- Road Lane Line Detection using Computer Vision models
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.
References:
- Predicting Stock Prices Using Machine Learning
- Machine Learning to Predict Stock Prices
- Stock Closing Price Prediction using Machine Learning Techniques
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.
References:
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.
References:
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.
References:
- AI In Chess: The Evolution of Artificial Intelligence in Chess Engines
- Creating a Chess AI with TensorFlow
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.
References:
- https://ai.googleblog.com/2020/01/towards-conversational-agent-that-can.html
- Python Chatbot Project – Learn to build a project from Scratch
- The 5 Step Chatbot Project Checklist
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.
References:
Some More AI Projects to Explore
Can’t get enough of AI projects? Well, try these great artificial intelligence project ideas:
- Automatic attendance system
- Customer recommendation system
- Detecting spam comments on YouTube
- Diet4You
- Enron investigation
- Forecasting earthquake aftershock locations with AI-assisted science
- Next word predictor
- Online assignment plagiarism checker
- Predicting bird species
- Uber app
- Unlocking the phone with faceID
- Voice-based virtual assistant
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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Nice Blog Thanks for Sharing your valuable content with us. I am surprised to see what level of understanding is required when you are designing a strategy or developing the product
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