Artificial Intelligence Learning ExperienceAug 24, 2021 6551 seen
AI project ideas for beginners
Learning theory alone is not enough. This is why everyone encourages students to try out AI projects. For beginners in AI, the best thing is to work on real-time AI projects. Learning artificial intelligence isn't easy, but it's not hard either. Once you start with the right AI curriculum and work on some hands-on projects, your basics will become clearer. To understand the field of artificial intelligence and implement it to solve business problems, it is necessary to know the latest tools and techniques associated with this field.
You will gain hands-on experience with these projects. You can try something new and understand how things work. If you want to learn how to apply artificial intelligence in real life, this is the best way to do it.
Artificial intelligence projects span many industries and areas. And if you don't do them yourself, you won't know what tasks they create. By completing these projects, you will also become better at understanding artificial intelligence. You will need to become familiar with new tools and technologies while working on a Python project. The more you learn about advanced development tools, environments, libraries, the wider your scope for experimenting with your projects will be. The more you work with different AI project ideas, the more you learn.
In this article, you can find 9 interesting artificial intelligence project ideas that will help you to learn technology easily.
1. Learn to Drive with Reinforcement Learning
The idea behind this project is to help the driver find the space between the gaps on the race track. It aims to help him learn to drive by finding solutions to overcome the obstacles he encounters on the race track.
This artificial intelligence project idea uses reinforcement learning. Reinforcement learning is a part of machine learning that focuses on how intelligent agents should act in their current environment for optimal performance. It combines artificial neural networks with a reinforcement learning architecture that allows agents defined by software to take the best action to achieve their goals. Most self-driving cars use various algorithms based on reinforcement learning, which teaches cars how to behave when interacting with their environment.
2. Facial Emotion Recognition and Detection
This one is the popular one. This project aims to expand on a groundbreaking modern application of deep learning - facial recognition. Although facial recognition has long been a subject of research and study, it is only now that we are seeing tangible results from this analysis.
Facial Emotion Detection and Recognition Systems are created to identify and interpret human facial expressions. It can detect basic human emotions in real-time, including happiness, sadness, anger, fear, surprise, disgust, and neutrality. First, the automatic facial recognition system will detect facial expressions in a cluttered scene to perform facial extraction and facial expression classification.
It will then apply a Convolutional Neural Network (CNN) to train the dataset. This dataset contains seven facial features - sad, happy, surprise, fear, disgust, neutral, and anger. A unique aspect of this facial emotion detection and recognition system is that it can track human emotions, distinguish between good and bad emotions, and label them accordingly. It can also use tagged emotion information to determine a person's thinking and behavior patterns.
3. AI-Powered Automation System
This system can be used, in particular, in banking and finance, where several transactions occur during the day. AI can be used to detect fraud in transactions if it has already taken place or is about to happen. An AI-based automation system has automation software that uses a search engine. These tasks are automated along with email and telephone services.
For example, when you call a bank, you first contact the chatbots. These chatbots will recognize your request and provide the correct answer. If this fails, you will be directed to a customer service representative.
4. Wine Quality Analyzer
Now, this is the fun part! Who would have thought that using a certain set of data, you can find out the quality of a wine! But here we are talking about alcohol percentage, pH, acidity, and more.
Using artificial intelligence, you can easily check the quality of a wine based on these factors. This is one of the most creative AI project ideas out there.
5. Advertising and Product Suggestions
The use of AI in digital marketing, advertising, and product offerings is taking this field to the next level. The moment you start exploring a website to check out some items to buy, the algorithm scans a stack of ads and recommends the most relevant ads that might interest you.
These promotional and product offerings are used by tech giants like Google and Amazon, where they rely on ads to promote their products.
6. Online Assignment Plagiarism Checker
This is one of the most demanded AI hour projects. Plagiarism is a serious problem that needs to be controlled and monitored. This refers to blindly copying someone else's work and presenting it as your unique work. Plagiarism is carried out by paraphrasing sentences, using similar keywords, changing the form of sentences, etc. In this sense, plagiarism is like stealing intellectual property.
In this project, you will develop a plagiarism detector that can detect similarities in copies of text and determine the percentage of plagiarism. This plagiarism detector used a text mining method. In this software, users can register by logging in by creating a valid username and password.
So, you can log in using your unique ID and password and upload your job file. After the download is complete, the file will be split into content and link to link. The checker will then process all content, check for grammar errors, visit each link in the link, and scan the content of all links to find matches with your content. Users can also save their files and view them later.
7. Sales Predictor
We all went to supermarkets, right? And we know there is always a surplus there. How do you think they manage to track the sales of each product ?!
This is where the sales predictor comes in and lends a helping hand. Datasets for these large markets are readily available on the Internet. By creating a sophisticated algorithm, you can forecast sales based on a large dataset. This is another good AI project which can teach you how to work with different algorithms.
8. Banking Bot
This is one of the great AI project ideas for beginners. This AI project includes the creation of a banking bot that uses artificial intelligence algorithms to analyze user requests and understand their messages. This is a specially designed application for banks where users can ask bank-related questions such as accounts, loans, credit cards, etc. If you are looking for good AI projects to add to your resume, this is exactly what you need.
Banking Bot is an Android application. Like a chatbot, it is trained to process user requests and understand what services or information they are looking for. The bot will communicate with users as if they were another person. This way, no matter how you ask the question, the bot can answer it and, if necessary, even pass the problem on to the bosses.
9. Heart Disease Prediction Project
This project is medically beneficial as it is designed to provide online medical advice and guidance to patients with heart disease. Patients often complain that they cannot find good doctors to meet their medical needs, which further exacerbates their situation. This heart disease prediction app will help you deal with this problem.
The proposed online application will allow patients (users) to instantly access consultations and services of certified medical specialists on issues related to heart disease. The app will be educated and fed with details on a wide range of different heart conditions. Users can share and mention their heart problems on the online portal.
The system will then process this information to check the database for various possible illnesses associated with those specific details. This intelligent system uses data mining techniques to predict the most accurate disease that can be associated with patient-supplied data. Users can then consult with specialist doctors based on the diagnosis of the system. The system also allows users to view detailed information about different doctors.