project on computer basics

Hardware is the physical tangible component of the computer system. This type of component is touchable. CPU, Mouse, Keyboard are examples of hardware components.

Question 5. What is software?

Solution:

Software is a collection of programs (set of instructions), data, and protocols. It is not in material form so we can not touch such types of components.

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Computer basics for kids: a complete guide.

November 20, 2022

While it’s true that not every kid has a personal computer in their home at present, it is expected that at least 95% of households will have some form of internet access in a few years from now.

It’s not easy teaching your child how to use a computer, especially when they don’t have any prior experience with technology and are far more interested in playing games or streaming videos.

Learning basic computer skills will help children develop good study habits, communication skills, and an aptitude for problem-solving and technology use that will serve them well throughout their lives.

This begs the question, what are the computer basics kids should have at their fingertips? Well, we’ve tailored this article to walk you through the following:

Alright, stay with me as we walk through all of this.

What Are Computer Basics?

Computer basics are simply the cornerstone of computer literacy . Knowledge of its fundamentals and proper application can lead to more broad uses and processes for kids in the future.

This includes anything from knowing the different parts of the computer system (hardware and software) to understanding how to use these parts to attain a specific result.

How Old Can Kids Start Using Computers?

Using tablets, computers, and smartphones around children will kindle their interest, and you may notice them toying with these devices when they are within easy reach.

However, do not misinterpret this as a serious interest in computers. Children around three and four are in the “button-pressing” period and will perceive computers as flashy, shiny toys.

So, at what age can children begin using computers?

For most kids, this is around age five. However, if your child has an older sibling who uses the computer regularly, he may be able to do so sooner.

If you have more than one young child in your home, buying separate laptops for each of them is a good idea. That way, they won’t fight over which device they get to play on.

If you buy a laptop and want your toddler to play on it occasionally with supervision, change the settings so that she can’t accidentally click on anything she shouldn’t see. She also should only be allowed to use the keyboard and mouse.

As your child gets older, you can teach him how to use the mouse by tracing shapes on a piece of paper until he becomes comfortable touching it while sitting at a desk.

Teaching Kids How the Computer Works

Instead of a tablet or phone, the ideal approach to introduce your kid to a computer is with a family laptop or, more preferably, a desktop.

Why? This restricts your child’s access and allows you to educate them on the fundamentals, like switching on or off the computer or opening and closing a computer software.

But first, make them realize that most devices they deal with regularly are computers. When children discover that even the candy machine at the nearby mall is a computer, they will be more excited to learn about it.

They’ll understand that computers are more than just a fun display and need them to do practically anything. Children need to learn how to operate traditional computers with keyboards, which they will most likely use at school.

This will help kids learn hardware and software fundamentals and improve their typing and mouse skills in ways touchscreens cannot. You could also educate them about the history of computers, so they can easily grasp what computers are and how they have evolved.

It would help if you also taught children basic computer hygiene at this point, such as washing their hands before they use the computer, not clicking the keys so hard, and keeping food and liquids away from the computer and keyboard.

Basic Computer Skills for Kids

It’s never too late to learn the basics. It’s important that kids learn the basics, so they can easily improve on those skills in the future. Here are some skills they should know how to do:

1. Typing

Good keyboard skills are essential to succeeding in school and beyond. Even if your kid doesn’t plan on being a computer scientist or an office worker, knowing how to type will come in handy for all sorts of projects, like writing emails and taking online quizzes.

If your child already knows his ABCs on paper, teaching him to type them can take as little as ten minutes a day. You can teach your kid typing skills with the help of programs like Marvis Beacon or Typing Club.

Your kid needs to know how to send and receive emails to communicate with teachers, family members, and friends. The easiest way to get started is by using Gmail at home or downloading the program Mail on a Mac or Windows machine.

Once you’re comfortable with them sending and receiving messages, you can encourage your child to create her account, so she’ll have a place where she can store messages from people she trusts.

To ensure her account is safe from strangers (or even sneaky classmates), teach her how to set up security questions.

3. Online Research

The World Wide Web is full of useful information and kid-friendly sites. Your child should learn how to locate these resources on her own and be able to evaluate them appropriately so she can spend more time having fun online.

Teach your child how to use a search engine so he can look up words and topics he doesn’t understand. When she finds something good, ask her what she thinks about it before letting her read it.

Show her how to follow links on different pages so she can see other articles that might interest her. You can also educate your child on how to use a bookmarking tool like Delicious or Diigo so she can save websites to revisit later.

Try to monitor the content they research online, or you could use the parental control setting to ensure they are not viewing harmful content.

There are some coding platforms for kids, like CodeMonkey, where they can learn fundamental programming tools like Python and Block-Based Coding .

Kids who take the time to learn will develop key problem-solving skills and can eventually take this as a career.

And because programming languages aren’t written down but instead told through combinations of text commands, kids don’t need to know how to read very well to use them.

Internet Safety for Kids

Kids need to understand the risks of using technology and how easy it is for people they don’t know to contact them online.

The first step in internet etiquette for kids is parental control. Keep an eye on what websites your child visits and ensure they’re safe. Some programs out there will let you do this with just one click. If your child does come across a website that looks like it might be inappropriate, make sure to talk about why that might be so without scaring them unnecessarily.

This is also a perfect time to educate them about spam, phishing, malware, and other strategies and tools used to steal personal information. As they spend more time on the internet, they will need to learn to prevent pitfalls.

Teaching internet safety gets more difficult with teenagers, who usually have their own devices and crave more privacy. You’ve hopefully set a firm foundation for safety with these kids, but keep an eye out for signals of trouble.

If your kid spends the entire night online, receives messages from strangers or unwanted gifts, refuses to talk to you about it, or switches off their computer when you enter the room, it’s time to examine their messages, search history, and limit their internet access.

Parents can adopt a variety of techniques to accomplish this. Some of them are discussing with their children their online activity.

Consider periodically co-creating with them. Keep track of your child’s favorite websites and apps. Discover how they work and what they expect from you. Let them know that their interests stimulate your attention.

Tips When Teaching Kids Computer Basics

When teaching kids computer basics, it is important to have a safe environment and help them navigate the different parts of a computer. This will allow them to explore independently once they have been taught the basics. Here are some tips for teaching kids computer basics.

Encourage Communication

One important thing when teaching kids about computers is encouraging communication. Let them ask questions and be patient as they learn how everything works. Getting used to typing or coding and other new skills can take time. Help them out when needed, but let them do some things alone.

Teaching kids computer basics may have some rather high-priced requirements for younger children. If your kid has difficulty comprehending and applying some concepts, yelling or expressing frustration will not help. It is best to be polite and patient when teaching children.

Use kid apps for easy learning

If you are trying to teach kids basic computer skills such as coding, typing, or browsing the internet, you can use some apps tailored for kids to make the learning experience more fun.

Conclusion

In a nutshell, teaching your kids basic computer skills will give them a solid foundation if they decide to hone those skill sets in the future.

There are a lot of tools and resources like CodeMonkey , and Mavis Beacon that teach these skills in a more friendly interface that grabs their attention.

And there is no right age to start this journey – children as young as four can be taught simple steps like using the mouse and keyboard.

Just be patient with your kid and encourage them. You’ll see them improving in the long haul.

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Basics of Computers - Introduction

Being a modern-day kid you must have used, seen, or read about computers. This is because they are an integral part of our everyday existence. Be it school, banks, shops, railway stations, hospital or your own home, computers are present everywhere, making our work easier and faster for us. As they are such integral parts of our lives, we must know what they are and how they function. Let us start with defining the term computer formally.

The literal meaning of computer is a device that can calculate. However, modern computers can do a lot more than calculate. Computer is an electronic device that receives input, stores or processes the input as per user instructions and provides output in desired format.

Input-Process-Output Model

Computer input is called data and the output obtained after processing it, based on user’s instructions is called information . Raw facts and figures which can be processed using arithmetic and logical operations to obtain information are called data .

The processes that can be applied to data are of two types −

Arithmetic operations − Examples include calculations like addition, subtraction, differentials, square root, etc.

Logical operations − Examples include comparison operations like greater than, less than, equal to, opposite, etc.

The corresponding figure for an actual computer looks something like this −

The basic parts of a computer are as follows −

Input Unit − Devices like keyboard and mouse that are used to input data and instructions to the computer are called input unit.

Output Unit − Devices like printer and visual display unit that are used to provide information to the user in desired format are called output unit.

Control Unit − As the name suggests, this unit controls all the functions of the computer. All devices or parts of computer interact through the control unit.

Arithmetic Logic Unit − This is the brain of the computer where all arithmetic operations and logical operations take place.

Memory − All input data, instructions and data interim to the processes are stored in the memory. Memory is of two types – primary memory and secondary memory . Primary memory resides within the CPU whereas secondary memory is external to it.

Control unit, arithmetic logic unit and memory are together called the central processing unit or CPU . Computer devices like keyboard, mouse, printer, etc. that we can see and touch are the hardware components of a computer. The set of instructions or programs that make the computer function using these hardware parts are called software . We cannot see or touch software. Both hardware and software are necessary for working of a computer.

Characteristics of Computer

To understand why computers are such an important part of our lives, let us look at some of its characteristics −

Speed − Typically, a computer can carry out 3-4 million instructions per second.

Accuracy − Computers exhibit a very high degree of accuracy. Errors that may occur are usually due to inaccurate data, wrong instructions or bug in chips – all human errors.

Reliability − Computers can carry out same type of work repeatedly without throwing up errors due to tiredness or boredom, which are very common among humans.

Versatility − Computers can carry out a wide range of work from data entry and ticket booking to complex mathematical calculations and continuous astronomical observations. If you can input the necessary data with correct instructions, computer will do the processing.

Storage Capacity − Computers can store a very large amount of data at a fraction of cost of traditional storage of files. Also, data is safe from normal wear and tear associated with paper.

Advantages of Using Computer

Now that we know the characteristics of computers, we can see the advantages that computers offer−

Computers can do the same task repetitively with same accuracy.

Computers do not get tired or bored.

Computers can take up routine tasks while releasing human resource for more intelligent functions.

Disadvantages of Using Computer

Despite so many advantages, computers have some disadvantages of their own −

Computers have no intelligence; they follow the instructions blindly without considering the outcome.

Regular electric supply is necessary to make computers work, which could prove difficult everywhere especially in developing nations.

Starting a computer or a computer-embedded device is called booting . Booting takes place in two steps −

The first program or set of instructions that run when the computer is switched on is called BIOS or Basic Input Output System . BIOS is a firmware , i.e. a piece of software permanently programmed into the hardware.

If a system is already running but needs to be restarted, it is called rebooting . Rebooting may be required if a software or hardware has been installed or system is unusually slow.

There are two types of booting −

Cold Booting − When the system is started by switching on the power supply it is called cold booting. The next step in cold booting is loading of BIOS.

Warm Booting − When the system is already running and needs to be restarted or rebooted, it is called warm booting. Warm booting is faster than cold booting because BIOS is not reloaded.

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15 Computer Visions Projects You Can Do Right Now

Computer vision deals with how computers extract meaningful information from images or videos. It has a wide range of applications, including reverse engineering, security inspections, image editing and processing, computer animation, autonomous navigation, and robotics.

In this article, we’re going to explore 15 great OpenCV projects, from beginner-level to expert-level . For each project, you’ll see the essential guides, source codes, and datasets, so you can get straight to work on them if you want.

Top Tools to Run a Computer Vision Project

What is Computer Vision?

Computer vision is about helping machines interpret images and videos. It’s the science of interacting with an object through a digital medium and using sensors to analyze and understand what it sees. It’s a broad discipline that’s useful for machine translation, pattern recognition, robotic positioning, 3D reconstruction, driverless cars, and much more.

The field of computer vision keeps evolving and becoming more impactful thanks to constant technological innovations. As time goes by, it will offer increasingly powerful tools for researchers, businesses, and eventually consumers.

Computer Vision today

Computer vision has become a relatively standard technology in recent years due to the advancement of AI. Many companies use it for product development, sales operations, marketing campaigns, access control, security, and more.

Computer vision has plenty of applications in healthcare (including pathology), industrial automation, military use, cybersecurity, automotive engineering, drone navigation—the list goes on.

How does Computer Vision work?

Machine learning finds patterns by learning from its mistakes. The training data makes a model, which guesses and predicts things. Real-world images are broken down into simple patterns. The computer recognizes patterns in images using a neural network built with many layers.

The first layer takes pixel value and tries to identify the edges . The next few layers will try to detect simple shapes with the help of edges . In the end, all of it is put together to understand the image.

It can take thousands, sometimes millions of images, to train a computer vision application. Sometimes even that’s not enough—some facial recognition applications can’t detect people of different skin colors because they’re trained on white people. Sometimes the application might not be able to find the difference between a dog and a bagel. Ultimately, the algorithm will only ever be as good as the data that was used for training it.

OK, enough introduction! Let’s get into the projects.

Computer Vision projects for all experience levels

Beginner level computer vision projects .

If you’re new or learning computer vision, these projects will help you learn a lot.

1. Edge & Contour Detection

If you’re new to computer vision, this project is a great start. CV applications detect edges first and then collect other information. There are many edge detection algorithms, and the most popular is the Canny edge detector because it’s pretty effective compared to others. It’s also a complex edge-detection technique. Below are the steps for Canny edge detection:

Code for Canny edge detection:

Contours are lines joining all the continuous objects or points (along the boundary), having the same color or intensity. For example, it detects the shape of a leaf based on its parameters or border. Contours are an important tool for shape and object detection. The contours of an object are the boundary lines that make up the shape of an object as it is. Contours are also called outline, edges, or structure, for a very good reason: they’re a way to mark changes in depth.

Code to find contours:

2. Colour Detection & Invisibility Cloak

This project is about detecting color in images. You can use it to edit and recognize colors from images or videos. The most popular project that uses the color detection technique is the invisibility cloak. In movies, invisibility works by doing tasks on a green screen, but here we’ll be doing it by removing the foreground layer. The invisibility cloak process is this:

It works on HSV (Hue Saturation Value). HSV is one of the three ways that Lightroom lets us change color ranges in photographs. It’s particularly useful for introducing or removing certain colors from an image or scene, such as changing night-time shots to day-time shots (or vice versa). It’s the color portion, identified from 0 to 360. Reducing this component toward zero introduces more grey and produces a faded effect.

Value (brightness) works in conjunction with saturation. It describes the brightness or intensity of the color, from 0–100%. So 0 is completely black, and 100 is the brightest and reveals the most color.

3. Text Recognition using OpenCV and Tesseract (OCR)

Here, you use OpenCV and OCR (Optical Character Recognition) on your image to identify each letter and convert them into text. It’s perfect for anyone looking to take information from an image or video and turn it into text-based data. Many apps use OCR, like Google Lens, PDF Scanner, and more.

Ways to detect text from images:

Text Classification: All Tips and Tricks from 5 Kaggle Competitions

Text Detection using OpenCV

Sample code after processing the image and contour detection:

Text Detection with Tesseract

It’s an open-source application that can recognize text in 100+ languages, and it’s backed by Google. You can also train this application to recognize many other languages.

Code to detect text using tesseract:

4. Face Recognition with Python and OpenCV

It’s been just over a decade since the American television show CSI: Crime Scene Investigation first aired. During that time, facial recognition software has become increasingly sophisticated. Present-day software isn’t limited by superficial features like skin or hair color—instead, it identifies faces based on facial features that are more stable through changes in appearance, like eye shape and distance between eyes. This type of facial recognition is called “template matching”. You can use OpenCV, Deep learning, or a custom database to create facial recognition systems/applications.

Process of detecting a face from an image:

How to Choose a Loss Function for Face Recognition Create a Face Recognition Application Using Swift, Core ML, and TuriCreate

Below is the full code for recognizing faces from images:

Code to recognize faces from webcam or live camera:

5. Object Detection

Object detection is the automatic inference of what an object is in a given image or video frame. It’s used in self-driving cars, tracking, face detection, pose detection, and a lot more. There are 3 major types of object detection – using OpenCV, a machine learning-based approach, and a deep learning-based approach.

May interest you

Below is the full code to detect objects:

Intermediate level Computer Vision projects

We’re taking things to the next level with a few intermediate-level projects. These projects will probably be more fun than beginner projects, but also more challenging.

6. Hand Gesture Recognition

In this project, you need to detect hand gestures. After detecting the gesture, we’ll assign commands to them. You can even play games with multiple commands using hand gesture recognition.

How gesture recognition works:

Full code to play the dino game with hand gestures:

7. Human Pose Detection

Many applications use human pose detection to see how a player plays in a specific game (for example – baseball). The ultimate goal is to locate landmarks in the body . Human pose detection is used in many real-life videos and image-based applications, including physical exercise, sign language detection, dance, yoga, and much more.

8. Road Lane Detection in Autonomous Vehicles

If you want to get into self-driving cars, this project will be a good start. You’ll detect lanes, edges of the road, and a lot more. Lane detection works like this:

9. Pathology Classification

Computer vision is emerging in healthcare. The amount of data that pathologists analyze in a day can be too much to handle. Luckily, deep learning algorithms can identify patterns in large amounts of data that humans wouldn’t notice otherwise. As more images are entered and categorized into groups, the accuracy of these algorithms becomes better and better over time.

It can detect various diseases in plants, animals, and humans. For this application, the goal is to get datasets from Kaggle OCT and classify data into different sections. The dataset has around 85000 images. Optical coherence tomography (OCT) is an emerging medical technology for performing high-resolution cross-sectional imaging. Optical coherence tomography uses light waves to look inside a living human body. It can be used to evaluate thinning skin, broken blood vessels, heart diseases, and many other medical problems.

Over time, it’s gained the trust of doctors around the globe as a quick and effective way of diagnosing more quality patients than traditional methods. It can also be used to examine tattoo pigments or assess different layers of a skin graft that’s placed on a burn patient.

Pathology classification - computer vision

Code for Gradcam library used for classification:

Kaggle Datasets Link

10. Fashion MNIST for Image Classification

One of the most used MNIST datasets was a database of handwritten images, which contains around 60,000 train and 10,000 test images of handwritten digits from 0 to 9. Inspired by this, they created Fashion MNIST, which classifies clothes. As a result of the large database and all the resources provided by MNIST, you get a high accuracy range from 96-99%.

This is a complex dataset containing 60,000 training images of clothes (35 categories) from online shops like ASOS or H&M. These images are divided into two subsets, one with clothes similar to the fashion industry, and the other with clothes belonging to the general public. The dataset contains 1.2 million samples (clothes and prices) for each category.

Advanced level Computer Vision projects

Once you’re an expert in computer vision, you can develop projects from your own ideas. Below are a few advanced-level fun projects you can work with if you have enough skills and knowledge.

11. Image Deblurring using Generative Adversarial Networks

Image deblurring is an interesting technology with plenty of applications. Here, a generative adversarial network (GAN) automatically trains a generative model, like Image DeBlur’s AI algorithm. Before looking into this project, let’s understand what GANs are and how they work.

Understanding GAN Loss Functions 6 GAN Architectures You Really Should Know

Generative Adversarial Networks is a new deep-learning approach that has shown unprecedented success in various computer vision tasks, such as image super-resolution. However, it remains an open problem how best to train these networks. A Generative Adversarial Network can be thought of as two networks competing with one another; just like humans compete against each other on game shows like Jeopardy or Survivor. Both parties have tasks and need to come up with strategies based on their opponent’s appearance or moves throughout the game, while also trying not to be eliminated first. There are 3 major steps involved in training for deblurring:

12. Image Transformation

With this project, you can transform any image into different forms. For example, you can change a real image into a graphical one. This is kind of a creative and fun project to do. When we use the standard GAN method, it becomes difficult to transform the images, but for this project, most people use Cycle GAN.

What Image Processing Techniques Are Actually Used in the ML Industry?

The idea is that you train two competing neural networks against each other. One network creates new data samples, called the “generator,” while the other network judges whether it’s real or fake. The generator alters its parameters to try to fool the judge by producing more realistic samples. In this way, both networks improve with time and continue to improve indefinitely – this makes GANs an ongoing project rather than a one-off assignment. This is a different type of GAN, it’s an extension of GAN architecture. What Cycle Gan does is create a cycle of generating the input. Let’s say you’re using Google Translate, you translate English to German, you open a new tab, copy the german output and translate German to English—the goal here is to get the original input you had. Below is an example of how transforming images to artwork works.

13. Automatic Colorization of Photos using Deep Neural Networks

When it comes to coloring black and white images, machines have never been able to do an adequate job. They can’t understand the boundary between grey and white, leading to a range of monochromatic hues that seem unrealistic. To overcome this issue, scientists from UC Berkeley, along with colleagues at Microsoft Research, developed a new algorithm that automatically colorizes photographs by using deep neural networks.

Deep neural networks are a very promising technique for image classification because they can learn the composition of an image by looking at many pictures. Densely connected convolutional neural networks (CNN) have been used to classify images in this study. CNN’s are trained with large amounts of labeled data, and output a score corresponding to the associated class label for any input image. They can be thought of as feature detectors that are applied to the original input image.

Colourization is the process of adding color to a black and white photo. It can be accomplished by hand, but it’s a tedious process that takes hours or days, depending on the level of detail in the photo. Recently, there’s been an explosion in deep neural networks for image recognition tasks such as facial recognition and text detection. In simple terms, it’s the process of adding colors to grayscale images or videos. However, with the rapid advance of deep learning in recent years, a Convolutional Neural Network (CNN) can colorize black and white images by predicting what the colors should be on a per-pixel basis. This project helps to colorize old photos. As you can see in the image below, it can even properly predict the color of coca-cola, because of the large number of datasets.

Automatic colorization - computer vision

14. Vehicle Counting and Classification

Nowadays, many places are equipped with surveillance systems that combine AI with cameras, from government organizations to private facilities. These AI-based cameras help in many ways, and one of the main features is to count the number of vehicles. It can be used to count the number of vehicles passing by or entering any particular place. This project can be used in many areas like crowd counting, traffic management, vehicle number plate, sports, and many more. The process is simple:

And finally, vehicle counting:

15. Vehicle license plate scanners

A vehicle license plate scanner in computer vision is a type of computer vision application that can be used to identify plates and read their numbers. This technology is used for a variety of purposes, including law enforcement, identifying stolen vehicles, and tracking down fugitives.

A more sophisticated vehicle license plate scanner in computer vision can scan, read and identify hundreds, even thousands of cars per minute with 99% accuracy from distances up to half a mile away in heavy traffic conditions on highways and city streets. This project is very useful in many cases.

The goal is to first detect the license plate and then scan the numbers and text written on it. It’s also referred to as an automatic number plate detection system. The process is simple:

Conclusion

And that’s it! Hope you liked the computer vision projects. As a cherry on top, I’ll leave you with several extra projects that you might also be interested in.

Extra projects

Additional research and recommended reading

Harshil Patel

Building ml platform in retail and ecommerce, how to build etl data pipeline in ml, how to save trained model in python, how to build an end-to-end ml pipeline, contact with us.

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10 Best Computer Science Projects To Hone Your Skills

Computer science is that branch of science, which deals with the study, development, and maintenance of computers and computer systems. It is also a diverse field that is the superset of data science, information technology, networking, programming, web development, and a galore of other full-fledged research and interest areas.

The ongoing COVID-19 outbreak has disrupted the traditional way of pursuing education. As such, more and more people prefer to enroll online for distant and virtual modes of learning; if you’re also looking for a suitable computer science degree that you can complete without going out, check out these best online computer science degree programs .

Learning computer science demands developing and building a lot of skills. What could be better than a project to learn - and/or assess your ability that you’ve developed up until now in - computer science! Now, where to get the best computer science projects? Right here! But wait?

Still thinking, “why I need a computer science project to learn/assess my ability in the same?” Let’s answer that first:

Computer Science Projects - Stepping Stones For A Better, Rewarding Future

Students often tumble over the question of what benefit they will get by working and developing projects in computer science, data science, or programming.

Also, if they are also, somehow, bothered thinking why they should give their best when working on computer science projects, then don’t worry because we are going to make things clear.

Most computer science courses' curriculum focuses on developing various skills, namely web development, programming, data analysis, content management, and more, but the implementation of these skills is something that students have to take care of themselves.

By working on a computer science project, candidates can also carve an opportunity for themselves to implement and test what they have learned. They can develop multiple computer science projects during the process and add them later to their portfolio, which will eventually help them land a good job, or, maybe, champion a college major or some specialization.

So, if anyone wants their future as an IT professional to be bright, they must work on one, or more, of the most popular computer science projects listed here. Much said already! Without wasting - any more - time, let’s get started with our pick of the top 10 computer science projects.

10 Best Computer Science Projects

1. Real-Time Weather Forecasting App

Type - Application Development, Programming, Web development Expected Time to Complete - 1 to 3 days Level - Beginner

Objective(s)

Project Overview

If you do not have any prior experience working on computer science projects, it’s better to get going with a project idea that is simple and effective.

The development of a weather application, which provides weather data for a particular location, would be a great way to test your coding skills.

To develop a weather application, all you need is the basic knowledge of the trifecta of web development, i.e., HTML, CSS, and Javascript. For creating a proper back-end of the app server in JavaScript, you will have to get familiar with Node.js and Express technologies.

It would be best to learn how to use API calls to get weather data from another website (like weatherstack.com) and display selective data right inside your webapp.

For the weather application’s UI, you need to conjure an input text box where users can enter the name of a location for which they wish to check the weather. As soon as the user hits the search button - most likely to be adjacent to the text box, but you are free to get creative as per your liking - the weather forecast for the entered location should be displayed.

Reference Free Projects @GitHub:

2. Basic Hospital Management System

Type - Application Development, Database Management, Programming Expected Time to Complete - 2 to 4 days Level - Beginner

To develop a system that hospitals can use to digitize and manage their data, such as patient information, appointments, lab test results, patient diagnosis details, etc.

Developing a basic hospital management system is quite easy, even if you are a beginner. You can develop a functional hospital management system leveraging basic forms of HTML and CSS.

The developed system should get new data entries, store them, and let hospital officials and/or a system administrator(s) access and view data.

You need to design the hospital management system, so it automatically assigns a unique ID to each patient registered at the said hospital. Other than the patients, the system should also store information about the staff members, all in a local database.

When the database grows, it might become difficult for the hospital staff or the system administrator to find data related to a particular patient or staff member. So, it’ll be a good idea to add search functionality to make it easier to find specific details across hundreds - or even thousands - of stored records.

While you can use the local storage of the machine that runs the hospital management system, it is also possible to use a cloud database. Both have their distinct advantages over one another. You must figure them out on your own to make the project more challenging.

P.S. - Want more computer science projects focusing on HTML? Try these best HTML projects .

3. Optical Character Recognition (OCR) System

Type - Algorithm Design, Image Processing, Optical Recognition, Programming, System Development Expected Time to Complete - 4 to 6 days Level - Intermediate

To accomplish this project, you need to work with an algorithm that makes image recognition possible. This algorithm will enable the processing of images and search for characters in them.

Before working on the OCR system development, you must get a clear idea of how optical recognition technology works. Make sure that you build a good understanding of all the underlying concepts beforehand.

While planning the project development work, you may need to set some accuracy level for your OCR system to achieve at the end of the project. Remember, the more accurate your OCR system in processing and identifying the characters in an image, the better.

Tesseract OCR

4. News Feed Application

Type - Application Designing, Application Development, Programming Expected Time to Complete - 3 to 6 days Level - Intermediate

Building a news feed application is a great way to boost your app development skills as a computer science student. You can either create a web-based news feed application that runs inside browsers or a dedicated mobile app for smartphone users or both; the choice is completely yours.

The biggest challenge you need to tackle while developing the news app is ensuring that the app loads in the minimal time while delivering robust performance. The app should be capable of handling multiple requests from different users at the same time without crashing.

To get the latest and trending news, you can use free news APIs offered by various providers, like Bloomberg , Guardian, and Financial Times. Just keep in mind that the freely-available news APIs offer a limited number of API calls on a daily or monthly basis.

You need to create the front-end and the back-end of the app and thus require both front-end and back-end development technologies. The app can be easily created using any popular programming language, like JavaScript, Python, Java, etc.

5. Library Management System

Type - Database Management, Database Manipulation, Programming, System Design, System Development Expected Time to Complete - 4 to 7 days Level - Intermediate

Developing a library management system will help you become well-versed in database management and data manipulation. The library management system intends to bring automation and eliminate traditional paperwork.

To work on this project, you need to step-up your knowledge about database management (SQL and/or NoSQL database), UI design, and back-end logic development.

The library management system should allow students to create personal accounts that they can use to view the list of available books and initiate requests for issuing the same. Also, the system needs to have separate administrator access for library officials to update the availability of books, review book issue requests, and maintain a list of defaulters.

Additionally, it can also track the fine levied on unreturned or overdue books. It is also possible to add some more advanced features to the library management system, such as issuing ebooks and sending automated SMS notifications to students regarding the due dates for returning the books.

6. Virtual Private Network

Type - Application Development, Data Security, Networking, Programming Expected Time to Complete - 5 to 8 days Level - Intermediate

If you are interested in computer networks and the internet, creating a virtual private network (VPN) system would be something that is going to help you boost your knowledge and skills in this particular niche of computer science.

The VPN system proposed in this project will let users add a secure extension to their public networks. But first, you should know that there are two different approaches for creating a VPN, namely IPSec (Internet Protocol Security) and SSL (Secure Socket Layer). Although both are good options, SSL is the better choice for developing a VPN.

The project will help you get familiar with various principles and technologies associated with computer networks such as authentication, public-key infrastructure (PKI), et cetera.

7. e-Authentication System

Type - Authentication, Information Security, Programming, System Development Expected Time to Complete - 4 to 7 days Level - Intermediate

For any website or application where users can create and log in to their accounts, it is essential to rule out the possibility of unauthorized access. To accomplish the same, you can develop an e-Authentication system that uses QR code and OTP to ensure secure user login.

Once a user registers or creates an account on a website/app using a set of credentials, usually the email and password, the e-Authentication System will be put into work when the same user will log into their account.

After entering the email id and password for logging in, the user will then be asked to authenticate themselves using either a QR code or an OTP.

If the user selects and proceeds with the QR authentication method, a random QR code will be generated by the e-Authentication system and sent to the user’s registered email id. On the other hand, while opting for the OTP authentication method, the user will receive an OTP code on the registered email or phone number.

The user will only be logged into their account if they complete the authentication process initiated by the e-Authentication system.

JWT (JSON Web Token Authentication for Laravel & Lumen)

8. Real-Time Web Search Engine

Type - AI, Machine Learning, Programming, Web Annotation Expected Time to Complete - 6 to 10 days Level - Master/Expert

This project requires developing a web search engine that displays a list of web resources relevant to the user's search term.

If you have prior experience working on smaller or entry-level computer science projects and want to move a step further, then working on developing a web search engine is a good idea.

For crafting a search engine, you need to use web annotation to allow your search engine to access web pages and other online resources. Like a typical search engine, you need to provide a text box in which users can type their queries and hit the search button or hit enter to get relevant results.

The results displayed by the search engine needs to be arranged in the form of a list. Also, you can limit the number of search items displayed on a page to 10 or 15. This way, the search engine needs to have multiple search result pages.

For search suggestions and ensuring that the most relevant results are displayed, you can use AI and machine learning. However, incorporating such advanced technologies in your search engine will make the project more complex, more time-consuming, but yes, more fascinating too.

9. Task Management Application

Type - Application Design, Application Development, Authentication, Database Management, Programming Expected Time to Complete - 5 to 9 days Level - Master/Expert

This is yet another project that will test your technical knowledge and coding skills to a greater extent. The task app needs to have an intuitive interface that will make it easier for users to interact with the app and manage their tasks.

The task app must allow users to create distinct accounts and start managing their everyday tasks effectively. A user's data should only be accessible to him/her, and an authentication system needs to be in place to safeguard the account from unauthorized access or accidental login.

As for the app, the user should add individual tasks or organize multiple tasks under a single task list. Also, the user should have the flexibility to create multiple task lists and manage several tasks altogether. Once completed, users can mark a task as completed.

For successfully developing the task, you need to have the knowledge and prior experience of working with full-stack development technologies such as MEAN stack (JavaScript) and LAMP stack.

10. Chat App

Type - Application Development, Application Designing, Multi-thread Processing, Networking, Socket Programming Expected Time to Complete - 5 to 10 days Level - Master/Expert

The project is about developing a chat application using Python. Users can sign up to create their accounts and send instant text messages. The project largely focuses on utilizing concepts of socket programming and multi-thread processing.

The project is a little tricky to work with. You need to understand how sockets work and understand various principles related to computer networks.

You need to set up a server to handle user requests to connect and exchange messages in real-time. The chat app functionality can be extended by allowing users to exchange files along with normal text messages.

That wraps up our list of the best 10 computer science projects. Working on these projects will allow you to successfully prepare yourself for embarking on a professional journey in the lucrative field of computer science and IT or, at the very least, to assess your abilities in the same.

What’s important is that you gain something from these, which you will definitely, if you work on these computer science projects with pure dedication. If that’s done, then that fulfills the purpose of this write-up. Best of wishes! Stay safe, keep learning, and keep growing.

Computer science is a complex, interdisciplinary field of study. In addition to programming, web development, networking, et cetera, computer science succeeding also requires good mathematical abilities. Try these best computer science mathematics tutorials to enhance the same.

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