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10 deep learning projects for final year What is Deep Learning? Deep learning is a way of teaching computers to learn from data, just like humans do. It uses artificial neural networks, which are like simplified models of the brain, to process large amounts of data and find patterns or features in it. For example, deep learning can help computers recognize images, understand speech, translate languages, and play games. Deep learning is a type of machine learning, which is a branch of artificial intelligence. Deep learning is different from traditional machine learning because it can learn from unstructured data, such as text and images, without needing human experts to label or organize it. Deep learning can also learn from multiple layers of data, which makes it more powerful and accurate. Difference between Deep Learning and Machine Learning Aspect Machine Learning Deep Learning Definition Type of artificial intelligence which focus on algorithms and learn through data Type of machine learning which use artificial neural networks and learn through various data layers Complexity of Models It use simple models like random forest, decision tree, liner regression etc. It use complex multi-layer models to learn feature hierarchies. Training Data Size It works well on smaller datasets. It requires large amount of data for effective learning Computation Requirement Require less computational power and resource Require significant computational power and resources Feature Representation Require manual engineering and feature extraction Automatically extract features from raw data Examples Linear Regression, Support vector machine, decision tree, random forest, CNN and RNN   Deep Learning Projects for Final Year In AI projects, the most critical thing is accuracy; deep learning provides better accuracy than machine learning. So you should select deep learning projects for your final year. These projects will enhance your AI skills and help you get good grades in your final year. The final year project is complex, from idea selection to documentation and code. It is all very complex, but don’t worry; I have compiled ten deep-learning projects to help you in your final year project. Don’t take tension and chill. 1. Breast Cancer Detection using Deep Learning Breast cancer is the most deadly disease among women worldwide. It is more dominant than lung cancer. According to statistics, 2.3 Million new cases were reported in 2020, which resulted in 685000 deaths. Cancer starts with cells in the breast tissue and then multiply, affecting the healthy tissues. Medical images can be obtained from multiple technologies like MRI, ultrasound, thermography, and Histopathology. Histopathology is considered the best method to get pictures of breast cancer cells. From there, you can collect images to train deep-learning models. Deep learning models have the benefit of requiring no prior knowledge of the data. Deep Learning needs the input data to be in the correct format, and the network parameters relevant to the problem must be given as we have collected data images. First of all, we will apply data preprocessing, and then we will split the data into training and testing tests. Next, we will build the CNN model, and after that, we will train the model and evaluate it. Source Code Research Paper Recommended Reading Hand Gesture Recognition Using Machine Learning 10 Advance Final Year Projects with source code Ecommerce Sales Prediction using Machine Learning 2. Crop Disease Detection using deep learning In recent years, climate change and lack of immunity in crops have increased the growth of diseases in crops. This causes a decrement in crop production and results in financial loss for farmers. Agriculture is the backbone of the country. A loss in the agriculture sector means a loss in the overall economy. Due to the rapidly growing variety of diseases and limited knowledge of farmers, treatment of these crop diseases has become challenging. To solve this, technology comes in. Computer vision integrated with deep learning provides a better solution to solve this problem.Every plant has some texture and attributes that can help undetected diseases in crops. However, accuracy is critical to detecting the right disease in crops.First, look at how this system works. The user will input an image of Crop. Your deep learning model will check it and give output according to crops’ diseases. To develop this system, you will pre-process data and extract features. Then, we will apply the CNN model and then get a prediction from it. Source Code Research Paper 3. Real-Time Image Animation The social media industry is booming, and online presence is vital. But for online presence, you need engaging content. Trends are changing day by day. A Facebook post trend changed in reels due to Tiktok and is now evolving toward animation. Animations are beautiful and engaging.Traditional methods of adding animation are complex and need frame-by-frame changing. It consumes a lot of time and money. But now AI is empowering this feature. You can create real-time image detection using deep learning.The user will give an image as input, and your model will add animation to it and convert it to video. Many tools exist to create animation, from pictures to animated videos. However, accuracy is still a challenge for all. If you can make this final year project, you will get two benefits. Firstly, you will get good grades; secondly, if you launch this in website format, you can earn money. However, it is a complex project and requires many iterations to improve it. Source Code Research Paper 4. Human Pose Detection This is a computer vision project which detect the joints and body parts such as the head, knees, wrists, and elbows, in an in picture or video. This task is used in a number of applications, including sports analytics and surveillance systems. Estimating human position is significant because it allows machines to interact with the human environment by recognizing human body poses, movements, and behaviors. Source Code Research Paper 5. Language Translator Using Deep Learning Language translator using deep learning aims to create a system that automatically translate the text from one language to another. This project use

10 Advance Final Year Project Ideas with Source Code The idea is the most critical thing when you are going to make a project. Selecting an idea for final year project is not an easy task. You need to review many aspects such as project feasibility and future potential.You need a unique and advanced final-year project idea to get approval from the supervisor. In this article I will provide you 10 advanced final year projects with source code.   1. PC controller and Monitor App Sometimes, we need a PC to complete our tasks or get some data. Let’s assume we are away from our PC and want to send the file to someone. A PC controller and monitoring app can help you access your PC remotely. You may view your PC’s files, applications, settings, and performance data and change the fan speed, RGB lighting, and audio settings. Another use case of this app is that you have remote employees and want to monitor them. With this app, you can monitor your employees and improve efficiency. To do this final year project, you first need to get approval from the supervisor.  Source Code 2. SEO Analyzer and Keyword Research Tool The trend of digital marketing and SEO is increasing day by day. You can develop an SEO Analyzer and Keyword Research Tool like Moz, Ubbersuggest, or Semrush. This project will be beneficial in your final year and also help you earn money. You can launch a paid subscription if you get better accuracy and set up your SEO platform. To do this, you need to do deep research on Google’s algorithm and the factors on which SEO depends. You can create this in Python and Django. The primary technique that will be used in this tool is web scraping. Source Code 3. Automatic attendance system by face recognition Attendance is necessary for students and employees to manage workflow and effectiveness. First, there was a traditional system of marking attendance in a notebook, followed by a biometric system for attendance. However, technology is advancing, so you can now develop an automatic face attendance system. This system will mark attendance by analyzing your face. You can embed this system with a camera in an office where the camera can automatically capture the face and mark attendance. To develop this, you need some IOT and AI. You should know Python to develop this system. Source Code Recommended Reading Hand Gesture Recognition Using Machine Learning 10 Advance Final Year Projects with source code Ecommerce Sales Prediction using Machine Learning 4. Smart Farming System using Machine Learning Agriculture is the backbone of a country. However, traditional farming methods are insufficient to meet the country’s needs. To overcome this issue, you can develop an intelligent farming system. This system will use advanced machine learning algorithms to analyze data from cameras, sensors, and other resources. This project aims to help farmers increase the yield and quality of crops. To develop this system, you must have a strong knowledge of machine learning. Source Code 5. Image Classification using Deep Learning Image classification uses deep learning to assign labels to images based on what they show. Let’s suppose there are 100 random images. This project will assign labels to all images. If there is an image of a dog, it will assign the label of a dog to it, and if there is an image of a cat, it will assign the label cat to it. Deep Learning models are perfect for recognizing images from extensive data. CNN is used to learn fast and identify images. Source Code 6. University Bus Tracking App This app enables students and staff to track the bus, including where it is and when it will arrive at the university. This app will help monitor buses and save time. People can also use this app to plan a trip and ensure they don’t miss any bus. There are several ways to set up a university bus tracking system, but one popular method is to put GPS devices on the buses and have them send their coordinates to a server. The server then processes the data and shows it on a map. The map and other features can be accessed on users’ devices through an app with an easy-to-use layout. Source Code 7. Web Data Mining for Terrorism Analysis This project uses web mining methods to find and investigate web activities linked to terrorism. Web mining is the process of getting valuable data from web data like web pages, links, text, and use patterns. Web data mining for terrorism analysis can help find possible terrorists, keep an eye on what they do online, follow their contact networks, and stop attacks before they happen. To complete this final-year project, you must have a firm grasp of Python and web scraping. Source Code Recommended Reading Stock Price Prediction system using Machine Learning Real-Time Object Detection Using Machine Learning Ecommerce Sales Prediction using Machine Learning 8. Emergency Ambulance System Early aid is essential to save a life. An emergency ambulance system quickly gets people who are hurt or sick to the hospital and gets them there by ambulance. It has trained people, vehicles, tools, information networks, and buildings that all work together to help in emergencies and save lives. In this project, you will develop an app following Uber’s structure to reach people quickly. Source Code 9. Smart House Controller App This IoT-based project will help you control your devices and equipment from far away through an app. This includes lights, thermostats, security cameras, locks, appliances, etc. You can manage all these things through a mobile phone, tablet, or voice assistant. To develop this, you should have basic knowledge of Iot and Python. Source Code 10. Sentiment Analysis of Social Media Posts Hate speech is increasing on social media. To stop this, social media platforms need unique algorithms to detect hate speech, stop it, and promote more positive speech. In this final year project, you will create