15 AI Project Ideas For Beginners

Introduction

 

Machines or computers that replicate human mind functions such as learning and problem-solving are referred to as artificial intelligence.

 

A sophisticated artificial intelligence software is intended to perform activities such as natural language processing, computer vision, and decision-making. To comprehend the AI domain and apply it to address business challenges, one must be familiar with the most up-to-date tools and methodologies.

 

We'll go through 15 intriguing artificial intelligence project ideas in this post to assist you acquire a better understanding of the technology.

 

 

AI project ideas

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AI project ideas 

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1. Predict Housing Price

 

Many parties, including homeowners, purchasers, agents, creditors, and investors, face difficulties in accurately evaluating the value of real estate. It's also a challenging one. Though it is generally known that size, number of rooms, and location influence pricing, there are many more factors at play. Furthermore, prices are susceptible to fluctuations in market demand as well as the unique characteristics of each circumstance, such as when a property must be sold quickly.

 

Apart from the pricing of various homes, you will also have to obtain extra datasets comprising the age of the people, the city's crime rate, and the locations of non-retail companies to consider when predicting the selling price of a property. 

 

A property's sale price can be forecasted in a variety of methods, but regression approaches are frequently used. One or more predictor variables are used as inputs, while a single target variable is used as output in all regression procedures.

 

 

2. Enron Investigation

 

Enron was one of the largest energy businesses in the United States at the time, but it went bankrupt in 2000 due to a major fraud accusation. It was one of the most significant scandals in American history.

 

Enron may have disappeared, but its database has not. The information in question is its email database, which contains about 500,000 emails exchanged between former workers and management. This project becomes more fascinating since all of the emails in the database are genuine.

 

This database may be used for anomaly detection or social network analysis (creating graph models to discover influencers) (find abnormal behaviour by mapping the distribution of sent emails). One of the most well-known AI initiatives is this one. As this project is quite popular among data scientists, don't be shy about asking a question in the community.

 

(Similar read: Top SQL project ideas)

 

 

3. Stock Price Prediction

 

One of the best Artificial Intelligence project ideas for beginners is this one. The stock market is a favourite of machine learning scientists. That's because it's jam-packed with information. You may quickly obtain various types of data sets and begin 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.

 

Must read: A guide to option trading for beginners

 

 

4. Handwritten Digits Recognition

 

Human-written digits have a wide range of curves and sizes since they are hand-drawn, and no two people write the same way.

 

Building a handwritten digits recognition system that can recognise the numbers drawn by people is a wonderful way to get started with artificial intelligence. 

 

You will use a convolution neural network (CNN) to recognise handwritten mathematical symbols in this Artificial Intelligence project. The neural network uses the HASYv2 dataset, which comprises 168,000 pictures from 369 distinct classifications.

 

 

5. Spoiler Blocker Extension

 

When a fantastic movie or programme comes out, people always ruin other people's enjoyment by spoiling it for them.

 

We can create a browser extension that will block out all the mentions of your favourite show that you don’t want to get spoiled. An open-source browser plugin that eliminates user-defined 'spoiler' terms from Facebook and Twitter postings. 

 

A message including the terms 'GoT' and 'Daenerys', for example, might constitute a Game of Thrones spoiler. The message will be hidden if any of these terms are classified as 'spoiler' words.

 

 

6. Lane Line Detection

 

The lane line detection technique is used by many self-driving autonomous automobiles and line-following robots. This is an intermediate Python project for machine learning that will help data science enthusiasts understand machine learning and gain expertise.

 

In our lane line detection project, we use OpenCV. Before identifying lane lines, we masked the remaining objects and applied the Hough transformation to find the line. We may use computer vision techniques like colour thresholding to detect the lanes.

 

 

7. 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, analyse 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, 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. 

 

(Also read: Top data science project ideas)

 

 

8. Taxi transportation

 

Here, taxi firms like Uber and Ola may use AI to figure out the fastest route utilising maps, customer wait time, traffic congestion, client concentration, kind of services such as where exactly the cabs are presently travelling, pricing estimates, and customer experience.

 

This might be a worthwhile undertaking because the programme provides several benefits for the transportation department. Transportation by automobile and other heavy vehicles is expected to employ AI to a great extent, making the client experience more predictive and providing a very fulfilling experience. 

 

(Suggested blog: Top 5 Travel Companies in India)

 

 

9. Amazon Retail shop  

 

This involves collecting and analysing large amounts of data from a variety of sources in order to manage and anticipate consumer behaviours, shopping preferences, cost-effective items, suppliers, delivery, revenue forecasting, discounts, and customer future purchasing, among other things.

 

Amazon, a retail firm with a global reach, uses AI for all of these functions. This is an excellent AI project for newcomers to check out. AI increasingly employs statistics, probability, calculus, matrices, and vectors. One such development in the industry in 2020 and beyond is Big Data analysis utilising AI.

 

 

10. Wine Quality Prediction

 

This is the most intriguing of them all! Who'd have guessed that simply analysing a certain collection of facts, you might determine the wine's quality? Yes, we understand that the older the wine, the better. But we're talking about alcohol percentages, pH levels, acidity levels, and a lot more here.

 

Wine is characterised by its scent, flavour, and colour, according to experts, but we are not wine specialists and cannot determine whether a wine is good or poor. What are we going to do then? Here's where machine learning comes into play; yeah, you're thinking, we're going to utilise machine learning to verify wine quality. This is without a doubt one of the most inventive Artificial Intelligence project concepts available.

 

 

11. 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 behavioural tendencies.

 

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

 

 

12. Essay graders and Plagiarism Analyzers

 

Manually grading the essays produced by pupils takes a long time. Furthermore, it is very hard to verify plagiarism using every technique accessible to determine whether the information is genuine. This necessitates the use of essay graders and plagiarism checkers.

 

Professors can benefit greatly from AI-powered essay graders since they can assist them grade students in a shorter amount of time. Furthermore, plagiarism checkers using AI are capable of analysing large amounts of web content for duplication.

 

(Must check: AI algorithms/ models)

 

 

13. Predicting bird species

 

Birds are ecological indicators, and they react swiftly to changes in the environment. As a result, it is critical to classify birds in order to comprehend ecological issues. Manual categorization of birds may be done by domain specialists, but owing to the massive growth of data, it has become a laborious and time-consuming procedure. This is where artificial intelligence-based categorization becomes crucial.

 

There are two methods to approach this classification-based AI project. A random forest can be used to forecast bird species if you are a beginner. A convolution neural network can be used to achieve an intermediate level.

 

 

14. Chatbots

 

You may begin by building chatbots as a novice. It is suggested that you start with a basic version. On nearly every company's website, there are several chatbots. You may examine them and determine the essential framework so that you can create your own chatbots with a similar structure.

 

After you've finished, try making one, which is more difficult. Also, experiment with different types of specialised chatbots. Artificial intelligence allows you to spread your wings and assists you in putting your thoughts into action.

 

 

15. E-commerce Customer Recommendation System

 

Have you ever wondered how an e-commerce platform provides you with the recommendations you require? You may have noticed advertising on your social media accounts that are connected to the searches you've done. All of this is accomplished through a consumer recommendation system.

 

In general, algorithms for recommendation systems rely on previous purchases and page visits. Furthermore, many businesses now offer in-the-moment suggestions, as they employ artificial intelligence to analyse user interactions and choose aesthetically appropriate goods that would appeal to any given client. Recommendation engines use artificial intelligence to generate rapid and to-the-point suggestions that are suited to each customer's requirements and interests.

 

In general, the content recommendation engine functions as a smart and experienced salesperson who understands the user's needs, tastes, and requirements and is capable of making informed decisions about recommendations that are beneficial and relevant to the client's desires, thereby increasing the conversion rate.

 

Conclusion

 

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. Learn more about powerful examples of AI.