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Best 60 artificial intelligence projects for final year Selecting an AI project for the final year is an excellent opportunity to showcase your skills and boost your grades. Artificial intelligence has a profound impact on various industries, to such an extent that an artificial intelligence project has the potential to bring about significant changes. This article will give you 60 unique Artificial intelligence final year project ideas. To help you source code is also there with every project. 1. Bitcoin Price Prediction Using Machine Learning Introduction: Bitcoin is a decentralized digital money uncontrolled by any financial organization or government and uses data encryption for protection. Nowadays, demand for bitcoin also increases day by day because the price of bitcoin is currently high. So, building a Bitcoin price prediction is an AI-based system that predicts the future value of Bitcoin. It uses machine learning algorithms to predict the future value of Bitcoin. In this project, machine learning algorithms learn from historical data, market trends, and other external factors. However, maintaining accuracy in this project takes a lot of work.   Problem Statement: The cryptocurrency market, particularly Bitcoin, is renowned for its sudden and unpredictable price fluctuations. Investors frequently want assistance in comprehending and projecting future market movements. The “Bitcoin Price Prediction Using Machine Learning” gadget solves this issue by employing cutting-edge AI methods to sift through vast amounts of historical data and spot trends that could influence future Bitcoin fees. Source Code 2. Fake News Detection In Social Media Introduction: Sometimes, we have too much information and don’t know what is true or false. Fake news is when people lie or make mistakes on the internet. Fake news can make people confused or angry. Fake news detection system aims to detect false information and report flagged content. It will help in validating the news on the internet. Problem Statement: Fake news is a big problem with social media as a primary news source. Misleading content can have serious consequences, influencing public opinions and potentially causing harm. The “Fake News Detection in Social Media” system uses AI algorithms to analyze content shared on social media platforms. The goal is to help users differentiate between reliable and unreliable information, creating a more informed online community. Source Code 3. Credit Fraud Detection Using Machine Learning Introduction: With the rise in the digital world, credit card fraud has become challenging. Frauds involving credit cards are simple and easy to target. Online payment options have expanded due to e-commerce and numerous other websites, raising the possibility of online fraud. Due to increased fraud, academics are currently analyzing and detecting online transaction fraud using various machine learning techniques. To stop this, you can develop a credit card fraud detection system as your final year project. This system uses machine learning techniques to examine credit card transactions for unusual patterns and behaviours that may indicate possible fraud. Problem Statement: The threat of credit card fraud is a significant concern for financial institutions and individuals. As technology progresses, so do the techniques fraudsters employ to exploit vulnerabilities in the payment system. Traditional rule-based fraud detection systems often struggle to adapt to these evolving tactics. The system solved this challenge by utilizing AI algorithms that can learn and adjust to novel patterns of fraud behaviour. Source Code 4. Liver Disease Detection Using Neural Networks and SVM Classification Introduction: People with liver disorders need to receive medical attention when it’s needed. It is crucial to find the illness before it progresses past a stage where it can be cured. Interestingly, studies of patients with liver problems have led to a great deal of knowledge on the development of organs. Based on the information that may be obtained by testing the patient, machine learning helps identify the condition early on. The system focused on early identification and diagnosis of liver diseases. By integrating neural networks and Support Vector Machine (SVM) classification, this system analyzes medical data to provide accurate predictions regarding the presence of liver diseases. Problem Statement: the traditional liver diagnostic methods may have limitations in accuracy and speed. For this problem, some people know when he reaches the last stage and the causes of patient death. So, the system aims to address these limitations by harnessing the power of artificial intelligence. Source Code 5. Detection of Phishing Attacks Using Machine Learning Algorithm Introduction: Today, fake messages and internet scams are growing daily. Phishing is also an internet scam; attackers send fake messages in this scam. These fake messages come from trusted sources. These projects help detect phishing attacks and protect clients from phishing fraud by assisting them in recognizing and blocking fake websites. This system prevents the theft of important information. Organizations also benefit by maintaining their brand and reputation. So, as a final year project selection, this project is best, and if you are choosing these kinds of projects, you will get great grades in your final year. This system uses advanced machine learning algorithms to analyze emails, URLs, and web content. It can tell the difference between legitimate messages and phishing attempts. Problem Statement: Traditional rule-based and signature-based approaches to phishing detection may need help to keep pace with the dynamic nature of these attacks. The “Detection of Phishing Attacks Using Machine Learning Algorithm” system uses AI algorithms to learn and adapt to new phishing patterns. This project aims to protect users and organizations from phishing attacks using intelligent and proactive defense measures. Source Code 6. Comparison Of Machine Learning Approaches for Twitter Sentiment Analysis Introduction: The important discipline of sentiment analysis in natural language processing includes hate speech and offensive statement identification. Sentiment analysis detects and analyzes emotional tones in text to understand and evaluate beliefs and attitudes. Because of its capacity for understanding and interpreting human emotions as they are expressed in textual data, Sentiment Analysis has been increasingly well-known in recent years. Sentiment analysis has become critical for researchers, corporations, and organizations trying to understand public opinion, consumer feedback, and societal trends as communication becomes increasingly deeply embedded on digital platforms. Sentiment Analysis

Best 13 IOT project ideas for final year students The Internet of Things, or IoT, is an exciting field that has become very popular recently. It involves providing commonplace gadgets and internet access to upgrade their intelligence and productivity. Working on IoT projects can be an excellent opportunity for final-year students to apply the knowledge and skills they have learnt in their studies and obtain practical experience. This article explores the best 13 IoT project ideas for final-year students to consider. 1. Smart Grocery Monitoring System Our daily lives revolve around the kitchen. With daily schedules becoming more hectic, automation of the kitchen and groceries is essential. Keeping an eye on the groceries by hand takes a lot of time and effort. The smart grocery management system makes use of the Internet of Things to monitor the grocery levels in the kitchen through smart sensors. This technology assists consumers by automatically tracking their food purchases and placing new orders as needed. A smart system for managing groceries helps the user keep accurate track of the household groceries and place independent reorders when required. This Smart sensors are used in the system’s development to monitor the quantity of the grocery items at regular intervals and transmit a signal and quantity data to the server. The information is compared to a threshold number, and if the amount of data received is less, the user receives a notification and can click to rearrange the item. 2. Smart Home Door Lock System Security in the workplace or business setting is a serious risk that everyone must deal with, whether at home or on the road. In this busy, competitive environment, when people can’t find a way to secure their secret belongings physically, security systems are one of the biggest concerns. Rather, they look for a different approach that offers simpler and more dependable security. In the modern era, everything is interconnected via networks, enabling anybody to access information from anywhere in the globe. So, Build a Smart Home Door Lock System is a project designed to improve home security and convenience. The Smart Home Door Lock System uses IoT devices, such as smart locks and connected sensors, to enable remote monitoring and control of door access. The system allows homeowners to manage door security efficiently, even when away from home. 3. Smart Office Security System Security is very important in any office environment. A secure workplace is essential to the efficient running of everyday activities, whether it is for safeguarding sensitive information, guaranteeing the security of workers and guests, or stopping illegal entry. You know that the highly technologically grown world of today may make traditional security measures insufficient on their own. So, the Smart Office Security System final year project is a new approach to secure office assets. The Smart Office Security System employs IOT technology by connecting various security devices to a central hub, enabling effective communication and data sharing. 4. Smart Home Temperature Control System The Smart Home Temperature Control System is an innovative project that uses Internet of Things (IoT) technology to enhance the comfort and energy efficiency of residential space. The main purpose of this system is to create temperature-controlled home automation. Your AC home appliances, such as the fan, heater, cooler, and lightbulbs, will be under the direction of the system architecture. Let’s say you are hot and bothered while seated in a room. You now want your fan or cooler to turn “ON” automatically and turn “OFF” when the temperature returns to normal in the room. You’ve come to the correct spot if you’ve been looking for a project like that. This project will help you in setting up automatic temperature control for your home appliances. 5. IoT-Based Weather Monitoring System We provide an intelligent online weather reporting system. We have implemented a system that enables online reporting of weather parameters. It eliminates the need for weather prediction agencies by allowing anyone to monitor the weather conditions immediately online. With the help of IOT devices, the system monitors the weather and provides real-time information to the user. This system used humidity sensors. Humidity sensors help continuously check for rain and temperature. In this system, if a sensor detects a sudden change in temperature or a significant shift in wind direction, the system can provide immediate updates and alerts. 6. Health Monitoring System Using IoT In today’s technologically advanced century, humans have become machines that work around the clock every day to get two meals in a day. He lost focus on the most crucial aspect of this race: his health. Since there were initially so many systems created, we learned about several flaws and characteristics of earlier work by carefully reviewing these systems. These systems utilize the newest, most popular technology, known as IoT. As a result, one of the most significant uses of IoT is the health monitoring system. Today, people normally face many health issues daily, such as high blood pressure, heart rate, and ECG. So, with the help of IOT technology, devices use blood pressure, heart rate, and ECG sensors with various microcontrollers in these systems to obtain readings from the sensing elements and receive them by the notification sensor. This system also recommends the doctor and, in an emergency, also tells what the patient is doing right now. 7. IoT-Based Temperature And Humidity Monitoring System In the environment, temperature and humidity are important parameters. The coronavirus spreads quickly in cold temperatures and high humidity during the COVID-19 pandemic. A lot of people are aware of the environment in which they live. This final year IOT-based project helps to monitor the temperature and humidity in the atmosphere. The proposed system is an innovative approach for tracking and reporting in real time the temperature and humidity at different locations. The cloud server stores the real-time data from the sensors, and emails are sent to the specified users, enabling them to access the data remotely via the internet. The IoT-Based Temperature and Humidity Monitoring System

Top 7 Cybersecurity Final Year Projects I have compiled a list of 7 cybersecurity final year projects. These 7 projects will help you in improving your skills and grades. 1. Cloud Security Monitoring and Incident Response First on my list of cybersecurity final year projects is Cloud Security Monitoring and Incident Response. This system creates a solution to safeguard cloud environments by continuously monitoring potential security threats and responding promptly to incidents. This system includes data from various cloud services, network logs, and security configurations. The Cloud Security Monitoring and Incident Response system utilizes advanced cybersecurity measures to detect anomalies, assess security events, and orchestrate timely responses, ensuring the resilience of cloud infrastructure. 2. Cyber Threat Intelligence Platform for Proactive Defense The next cybersecurity final year project is Cyber Threat Intelligence Platform for Proactive Defense. This system is designed as a comprehensive solution that collects, analyzes, and distributes threat intelligence to support proactive defence strategies. This system includes data from various sources, such as network logs, incident reports, and external threat feeds. The Cyber Threat Intelligence Platform used advanced cybersecurity methodologies to aggregate and analyze this information, providing organizations with actionable insights to prevent risks associated with online use early. Recommended Reading Stock Price Prediction system using Machine Learning Real-Time Object Detection Using Machine Learning Ecommerce Sales Prediction using Machine Learning 3. Machine Learning-Based Intrusion Detection System With cyber threats becoming more advanced, traditional intrusion detection systems often must catch up. This project explores the field of machine learning to develop intelligent intrusion detection systems. By analyzing network traffic patterns and identifying anomalies in real time, these systems can effectively threaten cyber attacks before they cause significant damage. 4. Online Fund Transfers with DES Encryption Build online fund transfer with Des Encryption to simplify online funds transfer securely. The facilities offered by Internet banking make it simple to transfer funds. However, a powerful cryptographic technique called DES is employed to keep it safe. A unique OTP feature is available on this platform to approve transactions, adding security. 5. Web Vulnerability Scanner The web vulnerability scanner is like a tool that built to examine web pages and web apps in a structured way to find any possible security issues. It will test for common online risks like SQL injection, cross-site scripting (XSS), and unsecured direct object references using automated techniques like scanning and fuzzing. The vulnerability scanner will produce reports that list all vulnerabilities found and suggest ways to fix them. The project aims to improve the general security of web-based systems by offering users a simple yet powerful method for locating and fixing vulnerabilities in web applications. 6. IoT Security Enhancement through Blockchain Integration An IoT Security Enhancement system through Blockchain Integration for a cybersecurity-related project developed a solution that used blockchain technology to enhance the security of Internet of Things (IoT) devices and networks. The IoT Security Enhancement system used cybersecurity measures by integrating blockchain to establish a decentralized and tamper-resistant ledger for securely recording and verifying IoT device transactions. Recommended Reading Hand Gesture Recognition Using Machine Learning 10 Advance Final Year Projects with source code Ecommerce Sales Prediction using Machine Learning 7. Biometric Authentication System This project uses biometric authentication systems to improve security measures. From fingerprint scanners to facial recognition technology, biometrics offer a more muscular stranger and user-friendly access control approach, minimizing the risk of unauthorized access. Recommended Reading AI Music Composer using Machine Learning Real-Time Object Detection Using Machine Learning 30 Creative Final Year Projects with Source Code What are some essential skills for undertaking cybersecurity final-year projects? Proficiency in programming languages, understanding of networking concepts, familiarity with cybersecurity tools and frameworks, and critical thinking skills are essential for success in cybersecurity projects. What are some potential career opportunities in cybersecurity after completing a final-year project? Completing a cybersecurity final year project can open doors to various career paths, including cybersecurity analyst, penetration tester, security consultant, and incident responder. Additionally, it demonstrates your practical skills and commitment to the field, enhancing your employability. How can I choose the right cybersecurity final year project? Consider your interests and strengths, and choose a project that aligns with current industry trends and challenges. Collaborating with industry partners or mentors can also provide valuable insights. To Learn More Cyber security Complete Course Cyber security Tutorials Cyber Security Course Final Year Projects Data Science Projects Blockchain Projects Python Projects Cyber Security Projects Web dev Projects IOT Projects C++ Projects Top 20 Machine Learning Project Ideas for Final Years with Code 10 Deep Learning Projects for Final Year in 2024 Realtime Object Detection 10 Advance Final Year Project Ideas with Source Code AI Music Composer project with source code E Commerce sales forecasting using machine learning Stock market Price Prediction using machine learning c++ Projects for beginners 30 Final Year Project Ideas for IT Students Python Projects For Final Year Students With Source Code Top 10 Best JAVA Final Year Projects C++ Projects with Source Code 20 Exiciting Cyber Security Final Year Projects How to Host HTML website for free? How to Download image in HTML Artificial Intelligence Projects For Final Year Hate Speech Detection Using Machine Learning 10 Web Development Projects for beginners Fake news detection using machine learning source code Credit Card Fraud detection using machine learning Best Machine Learning Final Year Project Best 21 Projects Using HTML, CSS, Javascript With Source Code 10 advanced JavaScript project ideas for experts in 2024 Hand Gesture Recognition in python Data Science Projects with Source Code 17 Easy Blockchain Projects For Beginners Python Projects For Beginners with Source Code 15 Exciting Blockchain Project Ideas with Source Code Phishing website detection using Machine Learning with Source Code Artificial Intelligence Projects for the Final Year portfolio website using javascript 20 Advance IOT Projects For Final Year in 2024 Plant Disease Detection using Machine Learning Ethical Hacking Projects Top 7 Cybersecurity Final Year Projects in 2024 How to Change Color of Text in JavaScript Top 13 IOT Projects With Source Code Heart Disease Prediction

Best 21 HTML CSS JavaScript projects with source code I’ve heard you’re starting with web development projects. It’s a great idea, but when you’re working alone, finding a significant project might be challenging. Therefore, this article presents 21 projects using HTML, CSS, and JavaScript with source code. Here, projects are listed from beginners to experts who are great at practising projects using HTML, CSS, and JavaScript with source code. 1. To-Do List App Are you ready to go into the dynamic world of web development? This to-do list app is perfect for you as a beginner. Crafted with HTML for structure, CSS for style, and JavaScript for interactivity, this project will teach you the foundations of creating a responsive and user-friendly application. To do list app source code HTML <!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>To-Do List</title> <style> body { font-family: Arial, sans-serif; } .container { max-width: 600px; margin: 0 auto; padding: 20px; background-color: #f4f4f4; border-radius: 5px; box-shadow: 0px 0px 10px rgba(0,0,0,0.1); } h1 { text-align: center; color: #4CAF50; } input[type="text"] { width: 100%; padding: 10px; margin-bottom: 10px; border: 1px solid #ccc; border-radius: 5px; } button { padding: 10px 20px; background-color: #4CAF50; color: white; border: none; border-radius: 5px; cursor: pointer; transition: background-color 0.3s ease; } button:hover { background-color: #45a049; } ul { list-style-type: none; padding: 0; } li { padding: 10px; border-bottom: 1px solid #ccc; } li:last-child { border-bottom: none; } </style> <script> function addTask() { var taskInput = document.getElementById("taskInput"); var taskList = document.getElementById("taskList"); if (taskInput.value === "") { alert("Please enter a task."); return; } var li = document.createElement("li"); li.textContent = taskInput.value; taskList.appendChild(li); taskInput.value = ""; } </script> </head> <body> <div class="container"> <h1>To-Do List</h1> <input type="text" id="taskInput" placeholder="Add new task"> <button onclick="addTask()">Add Task</button> <ul id="taskList"></ul> </div> </body> </html> <!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>To-Do List</title> <style> body { font-family: Arial, sans-serif; } .container { max-width: 600px; margin: 0 auto; padding: 20px; background-color: #f4f4f4; border-radius: 5px; box-shadow: 0px 0px 10px rgba(0,0,0,0.1); } h1 { text-align: center; color: #4CAF50; } input[type="text"] { width: 100%; padding: 10px; margin-bottom: 10px; border: 1px solid #ccc; border-radius: 5px; } button { padding: 10px 20px; background-color: #4CAF50; color: white; border: none; border-radius: 5px; cursor: pointer; transition: background-color 0.3s ease; } button:hover { background-color: #45a049; } ul { list-style-type: none; padding: 0; } li { padding: 10px; border-bottom: 1px solid #ccc; } li:last-child { border-bottom: none; } </style> <script> function addTask() { var taskInput = document.getElementById("taskInput"); var taskList = document.getElementById("taskList"); if (taskInput.value === "") { alert("Please enter a task."); return; } var li = document.createElement("li"); li.textContent = taskInput.value; taskList.appendChild(li); taskInput.value = ""; } </script> </head> <body> <div class="container"> <h1>To-Do List</h1> <input type="text" id="taskInput" placeholder="Add new task"> <button onclick="addTask()">Add Task</button> <ul id="taskList"></ul> </div> </body> </html> Output 2. Calculator Build a calculator using HTML for the UI, CSS for styling, and JavaScript to handle user inputs and perform calculations. This beginner-level project is both practical and visually rewarding. Calculator source code HTML <!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>Calculator</title> <style> body { font-family: Arial, sans-serif; background-color: #f4f4f4; display: flex; justify-content: center; align-items: center; height: 100vh; } .calculator { width: 300px; background-color: #fff; border-radius: 10px; padding: 20px; box-shadow: 0 0 10px rgba(0,0,0,0.1); } input[type="button"] { width: 50px; height: 50px; font-size: 20px; margin: 5px; border: none; border-radius: 5px; background-color: #4CAF50; color: white; cursor: pointer; transition: background-color 0.3s ease; } input[type="button"]:hover { background-color: #45a049; } input[type="text"] { width: calc(100% – 10px); padding: 10px; margin-bottom: 10px; border: 1px solid #ccc; border-radius: 5px; font-size: 20px; text-align: right; } </style> <script> function calculate() { var input = document.getElementById("input").value; var result = eval(input); document.getElementById("input").value = result; } function clearInput() { document.getElementById("input").value = ""; } </script> </head> <body> <div class="calculator"> <input type="text" id="input" readonly> <input type="button" value="C" onclick="clearInput()"> <input type="button" value="7" onclick="document.getElementById('input').value += '7'"> <input type="button" value="8" onclick="document.getElementById('input').value += '8'"> <input type="button" value="9" onclick="document.getElementById('input').value += '9'"> <input type="button" value="/" onclick="document.getElementById('input').value += '/'"> <input type="button" value="4" onclick="document.getElementById('input').value += '4'"> <input type="button" value="5" onclick="document.getElementById('input').value += '5'"> <input type="button" value="6" onclick="document.getElementById('input').value += '6'"> <input type="button" value="*" onclick="document.getElementById('input').value += '*'"> <input type="button" value="1" onclick="document.getElementById('input').value += '1'"> <input type="button" value="2" onclick="document.getElementById('input').value += '2'"> <input type="button" value="3" onclick="document.getElementById('input').value += '3'"> <input type="button" value="-" onclick="document.getElementById('input').value += '-'"> <input type="button" value="0" onclick="document.getElementById('input').value += '0'"> <input type="button" value="." onclick="document.getElementById('input').value += '.'"> <input type="button" value="=" onclick="calculate()"> <input type="button" value="+" onclick="document.getElementById('input').value += '+'"> </div> </body> </html> <!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>Calculator</title> <style> body { font-family: Arial, sans-serif; background-color: #f4f4f4; display: flex; justify-content: center; align-items: center; height: 100vh; } .calculator { width: 300px; background-color: #fff; border-radius: 10px; padding: 20px; box-shadow: 0 0 10px rgba(0,0,0,0.1); } input[type="button"] { width: 50px; height: 50px; font-size: 20px; margin: 5px; border: none; border-radius: 5px; background-color: #4CAF50; color: white; cursor: pointer; transition: background-color 0.3s ease; } input[type="button"]:hover { background-color: #45a049; } input[type="text"] { width: calc(100% – 10px); padding: 10px; margin-bottom: 10px; border: 1px solid #ccc; border-radius: 5px; font-size: 20px; text-align: right; } </style> <script> function calculate() { var input = document.getElementById("input").value; var result = eval(input); document.getElementById("input").value = result; } function clearInput() { document.getElementById("input").value = ""; } </script> </head> <body> <div class="calculator"> <input type="text" id="input" readonly> <input type="button" value="C" onclick="clearInput()"> <input type="button" value="7" onclick="document.getElementById('input').value += '7'"> <input type="button" value="8" onclick="document.getElementById('input').value += '8'"> <input type="button" value="9" onclick="document.getElementById('input').value += '9'"> <input type="button" value="/" onclick="document.getElementById('input').value += '/'"> <input type="button" value="4" onclick="document.getElementById('input').value += '4'"> <input type="button" value="5" onclick="document.getElementById('input').value += '5'"> <input type="button" value="6" onclick="document.getElementById('input').value += '6'"> <input type="button" value="*" onclick="document.getElementById('input').value += '*'"> <input type="button" value="1" onclick="document.getElementById('input').value += '1'"> <input type="button" value="2" onclick="document.getElementById('input').value += '2'"> <input type="button" value="3" onclick="document.getElementById('input').value += '3'"> <input type="button" value="-" onclick="document.getElementById('input').value += '-'"> <input type="button" value="0" onclick="document.getElementById('input').value += '0'"> <input type="button" value="." onclick="document.getElementById('input').value += '.'"> <input type="button" value="=" onclick="calculate()"> <input type="button" value="+" onclick="document.getElementById('input').value += '+'"> </div> </body> </html> Output 3. Blogging Website Build a blogging platform where users can create, edit, and publish blog posts with features like comments and user authentication. This project uses HTML for post structure, CSS for styling, and JavaScript for user authentication and dynamic content updates. A perfect project

Best 17 blockchain projects for beginners If you are a beginner in programming and are interested in blockchain projects, sometimes blockchain projects seem a bit puzzling but don’t worry. This article gives 17 blockchain projects for beginners. Throughout this article, we’ll walk you through the fundamentals, ensuring you start your blockchain journey with crystal-clear understanding and straightforward language. Let’s explore the ideas of blockchain projects for beginners. Blockchain projects for beginners 1. Blockchain-based To-Do List Creating a Blockchain-based To-Do List system is an excellent project for beginners, and we’ll break down the system design in a simple and easy-to-understand way. Each task is a digital block. Adding a new task creates a chain of blocks, which is stored in many computers worldwide – making it super safe. To use it, you’ll have a simple app where you can add, edit, and complete tasks.An Angular/Ionic app that enables users to create, manage, and mark off completed tasks would serve as the front end. The Ionic framework, an open-source mobile hybrid framework for developing cross-platform mobile apps, and Angular will be used in its build. The user’s data will be safely saved on the blockchain backend, which will remain unchangeable and only accessible by authorized individuals granted access by the account owner. 2. Cryptocurrency Price Tracker A Cryptocurrency Price Tracker system for beginners is like building your digital assistant to monitor cryptocurrency prices.In this system, you can type in the names of the cryptocurrencies you’re interested in, like Bitcoin or Ethereum. Once you hit enter, the system will fetch the latest prices online and display them on your screen.In our system, every cryptocurrency price is a block on the blockchain. This block contains information about the currency, like its current value. When a change happens, say Bitcoin’s price increases, a new block is added to the chain. This block is then linked to the previous ones, forming a chain of information. 3. Token Wallet Tracker Designing a Token Wallet Tracker system for beginners is like making a digital piggy bank for your digital tokens – it’s simple. It helps you keep an eye on your virtual money. The Token Wallet Tracker project is designed to monitor and manage digital token wallets. It acts as a digital assistant for users to keep track of their cryptocurrency holdings, providing insights into transactions, balances, and overall portfolio performance. Here’s how it works: Your Digital Wallet: First, you’ll have a digital wallet. It’s where you store your tokens, like a pocket in your virtual world. This wallet has a unique address – think of it as your wallet’s home address on the internet. Tracker Interface: Now, picture a simple app or webpage where you can type in your wallet’s address. When you hit enter, the system quickly checks your wallet on the blockchain (the big digital book that records all transactions). Token Count: After its mission, the Tracker tells you how many tokens you have in your wallet. It’s like your wallet reporting to you, saying, “Hey, you’ve got this many tokens right now!” Easy Updates: The beauty is this Tracker updates in real time. So, sending or receiving tokens is like the map instantly showing the new treasure in your wallet.   4. Decentralized Voting System A Blockchain-based voting system project is best for beginners, and we’ll break down the system design. A higher degree of security and transparency can be achieved using the blockchain’s decentralized and unchangeable properties, guaranteeing the voting procedure’s validity and reliability.  Here’s how it works: Every Vote Counts: In a decentralized voting system, each vote is like a digital token recorded on a blockchain – a secure and unchangeable ledger. Transparency and Security: Because the blockchain is transparent and tamper-proof, everyone can see the votes without knowing who cast them. Accessibility and Convenience: With a decentralized voting system, voters can participate from anywhere with an internet connection, making the process more accessible and convenient for everyone.   5. Blockchain-based Supply Chain Tracker Designing a Blockchain-based Supply Chain Tracker is like building a digital detective that traces the journey of products from creation to your hands. It’s a system that ensures accessibility and reliability in the supply chain. Each product gets a digital passport on the blockchain, containing essential details like where it was made, its journey, and necessary stops. Every time the product moves, a new entry is added to its digital passport, showing its current location and status.Anyone in the supply chain – from manufacturers to retailers – can view and trust the information on the blockchain. It’s like a see-through container for your product’s journey. The Supply Chain Tracker gives real-time updates. Want to know where your product is right now? Just check the blockchain, and you’ll see the latest stop on its digital journey. 6. Blockchain-based Blogging Platform As a beginner’s level in blockchain, this system is very easy and straightforward. Think of it as a digital notebook on the blockchain where your articles are safe, unchangeable, and open for the world to see. Each article you write becomes a digital block on the blockchain, recording your thoughts and words. Once there, it’s like a permanent page in your digital book.The blockchain ensures that once your article is published, it can’t be altered by anyone, making it transparent and tamper-proof. It’s like having a personal printing press where your words are set in stone.Unlike traditional blogging platforms that rely on a central authority, a Blockchain-based Blogging Platform is decentralized.Readers can trust that what they’re reading is authentic and unchanged. It’s like having a digital timestamp on your articles, proving they existed at a specific time and in a particular form. 7. Smart Contract System The Smart Contract System is a revolutionary platform that automates and executes self-executing contracts using blockchain technology. Users input the terms and conditions of an agreement into the system, defining the rules and actions to be taken upon fulfilment. The system automatically executes the terms when predefined conditions are met, eliminating the need for intermediaries

13 Python Projects for Final Year Students with Source Code When starting a project, the idea is the most critical component. The idea is an integral part of the final-year project. This article gives you 13 advanced Python projects for final-year because You must have a unique idea to gain the supervisor’s approval for your final-year project. Python Projects For Final Year Students 1. Fake Logo Detection System This project helps people identify fake logos online. In the digital world, it’s hard to tell if a logo is real or fake. This system aims to solve this problem using Python to create a tool to identify bogus logos, making it easier for users to trust the logos they see. Many fake logos on the internet can cause business trouble and confuse customers. This system addresses the need for a reliable tool to quickly check if a logo is real or fake. Doing this helps businesses protect their brand and customers from false information. To use the Fake Logo Detection System, users upload images or files with logos. The system then checks if the logo is real or fake. It gives a clear message about the logo’s authenticity and may also add visual marks on the logo to show potential issues. This project aims to build trust and keep online logos genuine and trustworthy. Source Code 2. Skin Disease Detection System Using CNN The Skin Disease Detection System Using CNN is like a helpful friend for checking skin problems using pictures. It uses an intelligent technology called Convolutional Neural Networks (CNNs) with Python to look at skin images and tell you if there might be a skin issue. This makes it easy for people to monitor their skin health and know when to ask a doctor for help. Sometimes, it’s hard to notice or understand skin problems, which can delay getting the right help. This system is here to solve that problem. Using Python and intelligent technology allows you upload pictures of your skin, giving you quick information about possible skin conditions. You can detect any issues and talk to a doctor sooner. You need to upload pictures of your skin into the system. It will then give you a report about possible skin issues it finds. The report might include details about the type of skin condition, its seriousness, and suggestions to see a doctor. The system wants to make it easy for you to understand the results. Source Code 3. Heart Disease Detection System Heart disease is a common and severe health issue that affects millions of people worldwide. Sometimes, doctors can’t detect heart disease in the early stage because heart problems can start quietly and become severe. It is not found in the early stage, and that is the cause of patient death. So, Heart disease detection uses Python to detect possible heart issues early. It uses machine learning algorithms to check key health details and tell you if there might be a risk of heart disease. The purpose of this project is to give everyone an easy way to monitor their heart health and get advice from a doctor when needed. You must share health information, like age, blood pressure, and cholesterol levels. The system then gives you a report showing if there might be a risk of heart disease. The report helps you understand your heart health and decide whether to make lifestyle changes. Source Code 4. Advanced Healthcare Chat Bot using Python Today, in the modern world, health care has grown to be an essential component of our living. On the other hand, seeing a doctor for help on every health concern has become quite tricky. So, this project aims to develop an artificial intelligence medical chatbot to assist in problem diagnosis. Building this project used natural language processing so that users communicate with the chatbot effectively. The project aims to identify the health issue, summarise the problem, and recommend the doctor. Source Code 5. Online Election System Using Python In a world, every country has conducted elections, and those people who live in the country have the right to vote for a particular party that they want to give power to. But you also know a billion people who vote, and it is a time-consuming process. Also, the government faced issues like people fighting outside the polling station, long queues and manual counting. This project aims to simplify the voting procedure by providing a simple online voting interface. Building this system used authentication and encryption techniques; for this technique, the system guarantees the accuracy and correctness of the election results.  The Online Election System addresses these issues by providing a digital platform that allows voters to participate in elections from the comfort of their homes. Additionally, it minimizes the time and budget of traditional paper-based voting methods, improving election accessibility and efficiency for every eligible voter. Source Code 6. Ecommerce Website Live Visitor Tracking System E-commerce is frequently used to purchase or sell products online. Almost anything you can think of can be purchased without leaving your home. Online shops accept orders around the clock and can be reached anywhere with an Internet connection. The e-commerce industry has grown significantly in the age of the Internet. However, the e-commerce sector faces numerous challenges. Some difficulties encountered are online identity verification, competitive analysis, keeping customers loyal, competing with manufacturers and retailers, and many other issues. A visitor monitoring system allows us to keep track of every person who visits the website, as well as the products they are most interested in and other information. This system solves that by tracking visitors live. It wants to show store owners which products are popular, how long people stay on the site, and what pages they like. By knowing this, store owners can improve the website and sell more. The system watches what visitors are doing on the website in real-time. It collects information like which pages visitors look at, what products they check out, and how long they stay. Source Code 7. Credit Card Fraud Detection With the rise in the digital world, credit card fraud has become challenging. Many fraudsters use phishing websites to steal your

Hate Speech Detection Using Machine Learning Today, the world of the internet and social media provides a platform where people freely express their opinions and thoughts in text form. But some people used their freedom in the wrong way to direct hate towards individuals for race, religion and many more things. For this, cyber security organizations increase the number of cases day by day for cyberbullying. Also, many organizations have found a solution to detect hateful speech. So, in the digital era machine learning is now important for detecting hate speech. In this article, we will examine the concept of hate speech, the issues associated with detecting it, and how machine learning can help. What is Hate Speech? Hate speech is defined as any speech, act, behavior, writing, or display that may cause violence or adverse action against or by a specific individual or group or that criticism or threatens a specific individual or group because of characteristics such as race, ethnicity, religion, sexual orientation, disability, or gender. The Challenges in Detecting Hate Speech Because hate speech is constantly changing and language is personal, it can be challenging to identify it. Because hate speech can appear in various ways and settings, it can be challenging to define and recognize. Furthermore, hate speech can also be hidden and sensitive, which makes it harder to recognize using normal methods. Machine Learning and Hate Speech Detection It is possible to train machine learning algorithms to detect patterns in text data and, using these patterns, identify hate speech. More accurate detection is made possible by machine learning algorithms that can distinguish between hate speech and non-hate speech through the analysis of vast datasets of text data. So, for this, you should train the machine learning model for an accurate dataset. The Future of Hate Speech Detection The identification of hate speech appears to have a bright future as long as technology keeps developing. Machine learning algorithms are evolving and getting better at accurately identifying hate speech. Furthermore, complicated text data analysis and comprehension are becoming more straightforward due to advances in natural language processing. We hope these developments will create a more secure and welcoming online community. Recommended Reading Stock Price Prediction system using Machine Learning Real-Time Object Detection Using Machine Learning Ecommerce Sales Prediction using Machine Learning How to build Hate Speech Detection using Machine Learning? To build  hate speech detection system in python you need to follow these steps. Step 1: Download dataset First of all, you need to download the dataset. This dataset contains multiple tweets. And our system will identify if a tweet is offensive or not. You can download the dataset from here. Download here: twitter_dataset Step 2: Import Libraries These lines import the necessary libraries for data manipulation (pandas and numpy), text processing (nltk), and machine learning (sklearn). Pyton import pandas as pd import numpy as np from sklearn.feature_extraction.text import CountVectorizer from sklearn.model_selection import train_test_split from sklearn.tree import DecisionTreeClassifier import re import nltk from nltk.util import pr import pandas as pd import numpy as np from sklearn.feature_extraction.text import CountVectorizer from sklearn.model_selection import train_test_split from sklearn.tree import DecisionTreeClassifier import re import nltk from nltk.util import pr Step 3: Initializing Stemmer and Stopwords Here, we initialize a stemmer and stopwords. The stemmer is used to reduce words to their base form, and stopwords are words that are commonly used in a language and are not considered significant for analysis. Pyton stemmer=nltk.SnowballStemmer("english") from nltk.corpus import stopwords import string stopword=set(stopwords.words("english")) stemmer=nltk.SnowballStemmer("english") from nltk.corpus import stopwords import string stopword=set(stopwords.words("english")) Step 4: Loading the Data This line loads the dataset from the CSV file “twitter_data.csv” into a pandas DataFrame called data. Pyton data=pd.read_csv("twitter_data.csv") data=pd.read_csv("twitter_data.csv") Step 5: Preprocessing the Data These lines create a new column called labels based on the class column. The class column is mapped to the corresponding label (0 to “Hate speech”, 1 to “Not offensive”, and 2 to “Neutral”). Then, we select only the tweet and labels columns for further processing. Pyton data['labels']=data['class'].map({0:"Hate speech",1:"Not offensive",2:"Neutral"}) data = data[["tweet","labels"]] data['labels']=data['class'].map({0:"Hate speech",1:"Not offensive",2:"Neutral"}) data = data[["tweet","labels"]] Step 6: Tokenization and Stemming This function tokenizes the text (splits it into words), removes stopwords and non-alphabetic characters, and then stems the words using the stemmer. Pyton def tokenize_stem(text): tokens = nltk.word_tokenize(text) tokens = [word for word in tokens if word not in stopword] tokens = [word for word in tokens if word.isalpha()] tokens = [stemmer.stem(word) for word in tokens] return tokens def tokenize_stem(text): tokens = nltk.word_tokenize(text) tokens = [word for word in tokens if word not in stopword] tokens = [word for word in tokens if word.isalpha()] tokens = [stemmer.stem(word) for word in tokens] return tokens Step 7: Vectorization This code creates a CountVectorizer object with the tokenize_stem function as the tokenizer. It then fits and transforms the tweet column of the data DataFrame into a sparse matrix X. Pyton vectorizer = CountVectorizer(tokenizer=tokenize_stem) X = vectorizer.fit_transform(data['tweet']) vectorizer = CountVectorizer(tokenizer=tokenize_stem) X = vectorizer.fit_transform(data['tweet']) Step 8: Splitting the Data This line splits the data into training and testing sets. X_train and y_train contain the features and labels for the training set, while X_test and y_test contain the features and labels for the testing set. Pyton X_train, X_test, y_train, y_test = train_test_split(X, data['labels'], test_size=0.2, random_state=42) X_train, X_test, y_train, y_test = train_test_split(X, data['labels'], test_size=0.2, random_state=42) Step 9: Training the Classifier This code creates a DecisionTreeClassifier object and trains it on the training data. Pyton classifier = DecisionTreeClassifier() classifier.fit(X_train, y_train) classifier = DecisionTreeClassifier() classifier.fit(X_train, y_train) Step 10: Taking User Input This line prompts the user to enter a tweet. Pyton tweet = input("Enter your tweet: ") tweet = input("Enter your tweet: ") Step 11: Vectorizing User Input: This code vectorizes the user input tweet using the same CountVectorizer object. Pyton tweet_vector = vectorizer.transform([tweet]) tweet_vector = vectorizer.transform([tweet]) Step 12: Predicting the Label This line uses the trained classifier to predict the label for the user input tweet. Pyton prediction = classifier.predict(tweet_vector) prediction = classifier.predict(tweet_vector) Step 12: Predicting the Label This line prints the predicted label for the user input tweet.

How to Download image in HTML? You want to add the functionality of downloading images in HTML. And you want to use something other than JavaScript. You want to do this in HTML and CSS. Well, in this article, I am going to help you, and you will learn how to download an image in HTML. But you should know HTML and CSS. If you are a beginner, don’t worry. I will give you the source code for this feature. But I will also tell you how to download images in HTML, CSS and JavaScript. Javascript is essential if you want to make your website interactive. So, In this article, I will tell you two methods to download images in HTML. One method is downloading images using HTML and CSS; the other uses HTML, CSS and JavaScript. Method 1: Download image in HTML Step 1: Create a Button in HTML Step 2: Design this button in CSS Step 3: Add functionality in HTML Note: Image should be in same folder where you are creating HTML file. Creating a Button in HTML First of all, we will create an HTML Button. Here is the source code to create a button in HTML. HTML <!DOCTYPE html> <html> <head> <title>Download image in HTML</title> </head> <body> <br><br> <button>Download Now</button> </body> </html> <!DOCTYPE html> <html> <head> <title>Download image in HTML</title> </head> <body> <br><br> <button>Download Now</button> </body> </html> Creating a Button in HTML As we have created a button, we will style and make it beautiful. CSS <style type="text/css"> *{ margin: 0; padding: 0; } body{ text-align: center; } button{ width: 150px; height: 30px; background-color: orangered; color:white; border:2px solid orangered; font-size: 18px; font-family: sans-serif; border-radius: 5px; } button:hover{ background-color: transparent; color:orangered; } </style> <style type="text/css"> *{ margin: 0; padding: 0; } body{ text-align: center; } button{ width: 150px; height: 30px; background-color: orangered; color:white; border:2px solid orangered; font-size: 18px; font-family: sans-serif; border-radius: 5px; } button:hover{ background-color: transparent; color:orangered; } </style> Adding download image functionality in HTML Now, we are ready to add download image functionality in HTML. Here is the complete code for you. HTML <!DOCTYPE html> <html> <head> <title>Download image in HTML/title> </head> <style type="text/css"> *{ margin: 0; padding: 0; } body{ text-align: center; } button{ width: 150px; height: 30px; background-color: orangered; color:white; border:2px solid orangered; font-size: 18px; font-family: sans-serif; border-radius: 5px; } button:hover{ background-color: transparent; color:orangered; } </style> <body> <br><br> <a href="webpage.zip"><button>Download Now</button></a> </body> </html> <!DOCTYPE html> <html> <head> <title>Download image in HTML/title> </head> <style type="text/css"> *{ margin: 0; padding: 0; } body{ text-align: center; } button{ width: 150px; height: 30px; background-color: orangered; color:white; border:2px solid orangered; font-size: 18px; font-family: sans-serif; border-radius: 5px; } button:hover{ background-color: transparent; color:orangered; } </style> <body> <br><br> <a href="webpage.zip"><button>Download Now</button></a> </body> </html> Recommended Reading 10 web development projects for beginners How to change color of text in JavaScript How to make portfolio website in Javascript? Method 2: Download image in HTML, CSS and JavaScript Step 1: Create a Button in HTML Step 2: Design this button in CSS Step 3: Add JavaScript to add functionality Creating a Button in HTML and CSS Here we will create a HTML button and than we style it in CSS. HTML <!DOCTYPE html> <html> <head> <title>Download Image on Button Click</title> <style> body { display: flex; justify-content: center; align-items: center; height: 100vh; margin: 0; background-color: #f5f5f5; } button { padding: 10px 20px; font-size: 16px; cursor: pointer; background-color: #FF8C00; color: #fff; border: none; border-radius: 5px; } button:hover { background-color: #FF4500; } </style> </head> <body> <button id="downloadButton">Download Image</button> </body> </html> <!DOCTYPE html> <html> <head> <title>Download Image on Button Click</title> <style> body { display: flex; justify-content: center; align-items: center; height: 100vh; margin: 0; background-color: #f5f5f5; } button { padding: 10px 20px; font-size: 16px; cursor: pointer; background-color: #FF8C00; color: #fff; border: none; border-radius: 5px; } button:hover { background-color: #FF4500; } </style> </head> <body> <button id="downloadButton">Download Image</button> </body> </html> Adding JavaScript and download functionality HTML <!DOCTYPE html> <html> <head> <title>Download Image on Button Click</title> <link rel="stylesheet" type="text/css" href="styles.css"> </head> <style> button { padding: 10px 20px; font-size: 16px; cursor: pointer; } </style> <body> <button id="downloadButton">Download Image</button> <script> document.getElementById('downloadButton').addEventListener('click', function() { var link = document.createElement('a'); link.href = 'image.jpg'; link.download = 'image.jpg'; document.body.appendChild(link); link.click(); document.body.removeChild(link); }); </script> </body> </html> <!DOCTYPE html> <html> <head> <title>Download Image on Button Click</title> <link rel="stylesheet" type="text/css" href="styles.css"> </head> <style> button { padding: 10px 20px; font-size: 16px; cursor: pointer; } </style> <body> <button id="downloadButton">Download Image</button> <script> document.getElementById('downloadButton').addEventListener('click', function() { var link = document.createElement('a'); link.href = 'image.jpg'; link.download = 'image.jpg'; document.body.appendChild(link); link.click(); document.body.removeChild(link); }); </script> </body> </html> Recommended Reading 10 web development projects for beginners HTML Course How to change color of text in JavaScript JavaScript course CSS Tutorial Can I use any image on the internet in my HTML code? No, you should only use images that you have permission to use. This includes images in the public field, images licensed for usage, and images designed by you. What is the best image format for the web? JPEG is best for images, PNG for graphics, and GIF for animations. How can I optimize images for the web? You can optimize images for the web by reducing the file size of the image, using the appropriate image format, and using image compression tools. Final Year Projects Data Science Projects Blockchain Projects Python Projects Cyber Security Projects Web dev Projects IOT Projects C++ Projects Top 20 Machine Learning Project Ideas for Final Years with Code 10 Deep Learning Projects for Final Year in 2024 10 Advance Final Year Project Ideas with Source Code Realtime Object Detection AI Music Composer project with source code Stock market Price Prediction using machine learning E Commerce sales forecasting using machine learning c++ Projects for beginners Credit Card Fraud detection using machine learning 30 Final Year Project Ideas for IT Students Fake news detection using machine learning source code 10 Web Development Projects for beginners Hand Gesture Recognition in python portfolio website using javascript 10 advanced JavaScript project ideas for experts in 2024 Python Projects For Beginners with Source Code Data Science Projects with Source

Best 20 cyber security final year projects In a time where cyberattacks and data breaches are common, protecting your project from possible weaknesses is critical. By guiding you through the complexities of cybersecurity, this article will ensure that your final-year project satisfies academic requirements and remains strong in the face of technological problems. This article lists the 20 best cybersecurity final-year projects. These cybersecurity final year projects will help to get good grades in academics. What is Cyber Security? Cybersecurity is a combination of technologies, practices, and policies to protect against harm, malware, viruses, hacking, data theft, and unauthorized access to networks, devices, programs, and data. Security of the privacy of all business data against internal and external attacks and natural disaster-related errors is the main objective of cyber security. 1. Secure Mobile App Development Framework In my list, the first Cyber security final year project is a secure mobile app. It aims to ensure the safety and integrity of mobile applications. This system includes the mobile app source code, user authentication details, and encryption keys. The Secure Mobile App Development Framework utilizes cybersecurity protocols to process and safeguard this data, aiming to create applications resistant to security threats. The Secure Mobile App Development Framework employs cybersecurity measures such as secure coding practices, encryption algorithms, and regular security updates. The system also provides developers with tools for code analysis, vulnerability scanning, and adherence to cybersecurity best practices. 2. Biometric Data Protection Measuring and examining an individual’s particular behavioral or physical characteristics is called biometrics. Fingerprints, iris patterns, face features, voice patterns, hand geometry, and behavioral patterns like typing and rhythm are some of these characteristics. Since biometrics can identify people with great accuracy by utilizing their unique features, it is mainly used for identification and authentication. Biometrics plays an integral part in cybersecurity by strengthening the security of numerous systems and procedures. Defense-in-depth (layers of protection) can be supported using biometrics for identity identification and multi-factor authentication. The Biometric Data Protection system utilizes cybersecurity protocols to process, store, and authenticate this data securely to prevent unauthorized access and protect individuals’ privacy. 3. Vulnerability Scanning For IoT Designing an IoT vulnerability scanning system in a cybersecurity-related project involves finding and fixing possible security weaknesses in Internet of Things (IoT) devices. The Vulnerability Scanning System utilizes cybersecurity protocols to assess, analyze, and report on IoT devices’ security posture, aiming to address potential risks proactively.   4. Cybersecurity Awareness Training This project aims to inform and train people about security measures, possible risks, and best practices, which is part of developing a cybersecurity awareness training system for a cybersecurity-related project. The Cybersecurity Awareness Training system utilizes cybersecurity protocols to deliver practical and engaging training sessions to enhance users’ awareness and understanding of cybersecurity principles. The Cybersecurity Awareness Training system employs cybersecurity measures such as secure content delivery, encrypted user data, and authentication protocols to ensure the confidentiality and integrity of training materials. 5. Supply Chain Security Assessment Creating a Supply Chain Security Assessment system for a cybersecurity-related project involves developing a solution to evaluate and improve the security of the entire supply chain. The Supply Chain Security Assessment system uses cybersecurity protocols to conduct thorough assessments, identify vulnerabilities, and recommend security measures, aiming to strengthen the overall resilience of the supply chain.   6. Ransomware Mitigation Tools Ransomware Mitigation Tools are suitable for cybersecurity final-year projects. It aims to create a solution to detect, prevent, and respond to ransomware attacks. This system includes real-time data from network activities, endpoint behavior, and threat intelligence feeds. The Ransomware Mitigation Tools utilize cybersecurity protocols to analyze, identify, and neutralize potential ransomware threats to protect systems and data from unauthorized encryption.   7. Threat Hunting Platform Threat Hunting Platform for a cybersecurity-related project aims to create a solution to proactively search for and identify potential threats within an organization’s network. Threat hunting, often known as cyber threat hunting, is the proactive practice of examining a company’s network to find and remove dangers. Companies better understand how secure they are and how to strengthen it by doing this.  Cyber threat-hunting technologies create various approaches based on data collected by security analysts and threat intelligence. In addition to using user and entity behavior analytics to monitor and defend the network and operating systems, these cyber threat-hunting tools also use this technology. The Threat Hunting Platform employs cybersecurity measures such as machine learning algorithms, behavior analysis, and secure data storage. 8. Securing Smart Cities You are securing Smart Cities in a cybersecurity final year to get good marks for the examiner in your final year. This system measures to protect the interconnected systems and data within urban environments. This system includes data from innovative city components like IoT devices, sensors, and infrastructure networks. The Securing Smart Cities system utilizes advanced cybersecurity protocols to assess vulnerabilities, monitor activities, and respond to potential threats, aiming to ensure the integrity and security of innovative city operations. 9. Privacy Preserving Data Analytics A group of methods known as “privacy-preserving data” enables data analysis without disclosing the identities of the subjects whose data is being examined. They are creating a Privacy-Preserving Data Analytics system for a cybersecurity-related project to develop a solution that allows organizations to analyze data while protecting individual privacy. The input for this system includes sensitive data sets, user preferences, and analysis requirements. The Privacy-Preserving Data Analytics system utilizes advanced cybersecurity protocols to anonymize, encrypt, and process data, ensuring that personally identifiable information is protected during the analysis process. 10. AI enhanced Cyber Insurance This project aims to reduce cyber risks for insurance purposes; a solution using artificial intelligence must be developed for a cybersecurity-related project to create an AI-enhanced Cyber Insurance system. The AI-enhanced Cyber Insurance system uses advanced cybersecurity algorithms to analyze risk factors, identify possible dangers, and suggest insurance plans customized to the particular requirements of protected organizations. 11. Federated Learning For Privacy What is Federated Learning? This method of machine learning is distributed and involves training a