{"id":3504,"date":"2021-11-16T11:51:33","date_gmt":"2021-11-16T11:51:33","guid":{"rendered":"https:\/\/websnipers.com\/?p=3504"},"modified":"2021-11-17T02:13:40","modified_gmt":"2021-11-17T02:13:40","slug":"top-ten-projects-of-artificial-intelligence","status":"publish","type":"post","link":"https:\/\/websnipers.com\/top-ten-projects-of-artificial-intelligence\/","title":{"rendered":"Top Ten Projects of Artificial Intelligence"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">Artificial intelligence (AI) is no longer an emergent technology, it has grown to be part of our lives. Whether you perform a quick search on Google, spam gets automatically filtered in your email, Spotify recommends music, or your smartphone predicts the next word you are going to type, this is artificial intelligence at work. The AI industry has grown unprecedentedly, and it is projected that it will be worth US$126 million come 2025. This translates to high demand for AI skills. Yet today, AI is a broad field that encompasses machine learning, neural networks, robotics, natural language processing (NLP), and others.<\/span><\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_53 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<p class=\"ez-toc-title\">Table of Contents<\/p>\n<label for=\"ez-toc-cssicon-toggle-item-655dccb04de12\"><span class=\"\"><span style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/label><input type=\"checkbox\"  id=\"ez-toc-cssicon-toggle-item-655dccb04de12\"  aria-label=\"Toggle\" \/><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/websnipers.com\/top-ten-projects-of-artificial-intelligence\/#Facts_about_India%E2%80%99s_electronic_capital\" title=\"Facts about India\u2019s electronic capital\">Facts about India\u2019s electronic capital<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/websnipers.com\/top-ten-projects-of-artificial-intelligence\/#10_Artificial_Intelligence_Projects_for_Learners\" title=\"10 Artificial Intelligence Projects for Learners\">10 Artificial Intelligence Projects for Learners<\/a><ul class='ez-toc-list-level-3'><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/websnipers.com\/top-ten-projects-of-artificial-intelligence\/#Resume_Parser\" title=\"Resume Parser\">Resume Parser<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/websnipers.com\/top-ten-projects-of-artificial-intelligence\/#Lane_Line_Detection\" title=\"Lane Line Detection\">Lane Line Detection<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/websnipers.com\/top-ten-projects-of-artificial-intelligence\/#Pneumonia_Detection\" title=\"Pneumonia Detection\">Pneumonia Detection<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/websnipers.com\/top-ten-projects-of-artificial-intelligence\/#Fire_detection_and_localization\" title=\"Fire detection and localization\">Fire detection and localization<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/websnipers.com\/top-ten-projects-of-artificial-intelligence\/#Next_word_predictor\" title=\"Next word predictor\">Next word predictor<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/websnipers.com\/top-ten-projects-of-artificial-intelligence\/#Fake_product_reviews\" title=\"Fake product reviews\">Fake product reviews<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/websnipers.com\/top-ten-projects-of-artificial-intelligence\/#Age_and_Gender_Detection_Model\" title=\"Age and Gender Detection Model\">Age and Gender Detection Model<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/websnipers.com\/top-ten-projects-of-artificial-intelligence\/#Plagiarism_detection\" title=\"Plagiarism detection\">Plagiarism detection<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/websnipers.com\/top-ten-projects-of-artificial-intelligence\/#Translation_system\" title=\"Translation system\">Translation system<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/websnipers.com\/top-ten-projects-of-artificial-intelligence\/#Autocorrect_Tool\" title=\"Autocorrect Tool&nbsp;&nbsp;\">Autocorrect Tool&nbsp;&nbsp;<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/websnipers.com\/top-ten-projects-of-artificial-intelligence\/#In_summary\" title=\"In summary\">In summary<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"Facts_about_India%E2%80%99s_electronic_capital\"><\/span><b>Facts about India\u2019s electronic capital<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Bangalore, India\u2019s Silicon Valley, also happens to be its electronic capital. It is home to top international and local technology companies in India such as Microsoft, IBM, SAP, Intel Corporation, Dell Technologies, Cisco Systems, and more. It is no wonder that Bangalore accounts for up to 40% of India\u2019s IT industry and creates more than 200,000 job opportunities for talented IT professionals. India\u2019s largest electronic industrial park covering a stretch of 800 acres is located in Bangalore.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Bangalore is also home to top IT talent with a thriving IT BPO industry ranking in revenue to the tune of US$17 billion on an annual basis. At the same time, the education and training industry has not been left behind in bridging the skills gap with curriculums covering emerging technology. Whether you are seeking robotics, IoT, blockchain, computer engineering, or an<\/span><a href=\"https:\/\/www.simplilearn.com\/artificial-intelligence-training-courses-bangalore-city\"> <b>artificial intelligence course in Bangalore<\/b><\/a><span style=\"font-weight: 400;\">, you can\u2019t miss a good course to pursue in this city.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"10_Artificial_Intelligence_Projects_for_Learners\"><\/span><b>10 Artificial Intelligence Projects for Learners<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">AI skills are in high demand in Bangalore and across the globe. Currently, the average salary of an AI engineer ranges between $171,715 and $250,000.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Is this reason enough to build an appealing project portfolio?<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Yes.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">AI projects are typically focused on the simulation of human intelligence by computer systems. AI is founded on the concept that computer programs can learn automatically and without human intervention by adapting to new data.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Here are the top examples of AI projects for learners.&nbsp;<\/span><\/p>\n<ul>\n<li aria-level=\"1\">\n<h3><span class=\"ez-toc-section\" id=\"Resume_Parser\"><\/span><b>Resume Parser<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">For recruiters, the most tedious and time-consuming process is shortlisting. 75% to 88% of resumes received in a recruitment drive for a single hire do not qualify for the position which translates to up to 23 hours of screening resumes.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Automated resume screening helps recruiters implement their shortlisting criteria consistently, fairly, and objectively to find the right candidates in a short time and cost-effectively. A resume parser enables recruiters to extract relevant information from applicants\u2019 resumes and present it in an organized manner for analysis.&nbsp;<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This project involves using AI and machine learning techniques to build a resume parsing model that can extract relevant information from candidates\u2019 applications.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Your dataset:<\/span><a href=\"https:\/\/www.kaggle.com\/gauravduttakiit\/resume-dataset\"> <span style=\"font-weight: 400;\">Resume dataset<\/span><\/a><\/p>\n<ul>\n<li aria-level=\"1\">\n<h3><span class=\"ez-toc-section\" id=\"Lane_Line_Detection\"><\/span><b>Lane Line Detection<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">The Lane Line detection project is a great project if you intend to hone your computer vision skills.&nbsp;<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Lane line detection is core to autonomous vehicles. This project employs the use of computer vision techniques to identify the lanes that autonomous vehicles should run on to prevent accidents due to the vehicles crossing to other lanes. Lane line detection algorithms detect white and yellow markings on either side of the lane to plan the path of a self-driving car and program their steering and braking actions. In the event of an unsafe lane change, the algorithm sends an alert in real-time.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Your dataset:<\/span><a href=\"https:\/\/github.com\/vonsj0210\/Multi-Lane-Detection-Dataset-with-Ground-Truth\"><span style=\"font-weight: 400;\"> Lane line detection<\/span><\/a><\/p>\n<ul>\n<li aria-level=\"1\">\n<h3><span class=\"ez-toc-section\" id=\"Pneumonia_Detection\"><\/span><b>Pneumonia Detection<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">This project requires the use of convolutional networks to build a pneumonia detection AI model.&nbsp;<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Normally, doctors would use a chest X-ray to detect pneumonia in a patient. Thus, for this project, you will be required to build a deep learning classifier that will categorize the X-ray images in these categories using convolutional networks (CNNs)<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Your dataset:<\/span><a href=\"https:\/\/www.kaggle.com\/paultimothymooney\/chest-xray-pneumonia\"> <span style=\"font-weight: 400;\">Chest X-ray images (pneumonia detection)<\/span><\/a><\/p>\n<p><span style=\"font-weight: 400;\">These images contain three types of images i.e. normal, viral pneumonia, and bacterial pneumonia images.<\/span><\/p>\n<ul>\n<li aria-level=\"1\">\n<h3><span class=\"ez-toc-section\" id=\"Fire_detection_and_localization\"><\/span><b>Fire detection and localization<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Because of its high accuracy level, convolutional neural networks (CNN), a branch of deep learning neural networks, have been widely adopted for image classification and image recognition projects.&nbsp;<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Thus, this project will involve developing a CNN-based fire detection and localization model that will be integrated into antifire surveillance systems to help minimize fire disasters and their impacts thereof.&nbsp;<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Your dataset:<\/span><a href=\"https:\/\/www.kaggle.com\/atulyakumar98\/test-dataset\"> <span style=\"font-weight: 400;\">Fire detection dataset<\/span><\/a><\/p>\n<ul>\n<li aria-level=\"1\">\n<h3><span class=\"ez-toc-section\" id=\"Next_word_predictor\"><\/span><b>Next word predictor<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Google and most Smartphone keyboards are integrated with the next word prediction feature to improve the user experience when typing. This is usually based on a user\u2019s browsing history. Next word works by predicting the next word in a sentence or phrase to help users type fast and correctly on their small devices.&nbsp;<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This project involves building algorithms that can predict the next word that is likely to be typed on a gadget using deep learning and natural language processing (NLP) techniques.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Your dataset: <\/span><a href=\"https:\/\/www.kaggle.com\/c\/nlp-getting-started\/data\"><span style=\"font-weight: 400;\">&nbsp;<\/span><span style=\"font-weight: 400;\">Next word prediction dataset<\/span><\/a><\/p>\n<ul>\n<li aria-level=\"1\">\n<h3><span class=\"ez-toc-section\" id=\"Fake_product_reviews\"><\/span><b>Fake product reviews<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">The internet is a big source of information, yet it is choking on fake information. 90% of online buyers will check out product reviews and perform research elsewhere before making purchasing decisions. Fake product reviews pose a great challenge not only for online shoppers but also for genuine businesses that have to face unfair competition from their counterparts who thrive on fake product reviews.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">A way out of this problem is to design a system that checks product reviews using opinion mining techniques and monitoring the IP address of the reviews to determine whether they are genuine or fake. Building and training a fake product review monitoring model requires natural language processing knowledge.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Your dataset:<\/span><a href=\"https:\/\/www.kaggle.com\/rtatman\/deceptive-opinion-spam-corpus\"> <span style=\"font-weight: 400;\">Deceptive Opinion Spam Corpus<\/span><\/a><\/p>\n<ul>\n<li aria-level=\"1\">\n<h3><span class=\"ez-toc-section\" id=\"Age_and_Gender_Detection_Model\"><\/span><b>Age and Gender Detection Model<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">With an age detection system, it is possible to tell the gender or age group that an individual belongs to young, elderly, or middle-aged. This AI project involves building a deep learning age and gender detection model using Convolutional Neural Networks (CNN) techniques. These models are designed to process image data by extracting features from images and then analyzing these features to classify the face images to the right gender and age group.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Marketers use demographic information to create targeted marketing campaigns for their customers. Age detection models allow them to classify their customers without having to gather their personal information, which is a long and tedious process.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Your dataset:<\/span><a href=\"https:\/\/www.kaggle.com\/arashnic\/faces-age-detection-dataset\"> <span style=\"font-weight: 400;\">Age and Gender Detection using CNN<\/span><\/a><\/p>\n<ul>\n<li aria-level=\"1\">\n<h3><span class=\"ez-toc-section\" id=\"Plagiarism_detection\"><\/span><b>Plagiarism detection<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">A grave problem in the education industry today is the unethical use of content, yet students continue to do it thanks to the wide availability and accessibility of content on the internet. Sources of information, whether for academic, professional, or other forms of work used in an assignment or for any other purposes, need to be credited to the original creator. Failing to cite sources of information amounts to plagiarism. Plagiarism does not accord students a fair evaluation of the work they have done while also interfering with their learning progress.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">AI-powered systems are making it fast and a lot easier to check content for plagiarism. Thus this project involves building and training a plagiarism detection model using machine learning algorithms and text mining to classify text as plagiarized or unique.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Your dataset:<\/span><a href=\"https:\/\/datasetsearch.research.google.com\/search?query=Figure%20Plagiarism%20Detection&amp;docid=L2cvMTFtdG4wcncweQ%3D%3D\"> <span style=\"font-weight: 400;\">Figure Plagiarism detection<\/span><\/a><\/p>\n<ul>\n<li aria-level=\"1\">\n<h3><span class=\"ez-toc-section\" id=\"Translation_system\"><\/span><b>Translation system<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Translation systems and applications have a far-reaching impact on business brand visibility, engagement with its audience, and ultimately customer experience. In this digital age where the world has transformed into a global village, businesses have the opportunity to reach global audiences through digital interconnection.&nbsp;<\/span><\/p>\n<p><span style=\"font-weight: 400;\">A good project, if you want to hone your machine learning and natural language processing skills, is to build and train a language translation model. Integrating translation into applications and systems is one way of localizing application content to reach a specific target audience and explore new markets. A good example is Google translate and the translation feature on Facebook and other social media platforms.&nbsp;<\/span><\/p>\n<p><span style=\"font-weight: 400;\">A translation model works by extracting language features in sentences and interpreting these features based on the sentence structure and the language rules of the target language. Like most ML models, the more the model is exposed to new data, the more it learns from it to make an accurate interpretation. A new development in some language translation apps is the incorporation of the voice-recognition function.&nbsp;<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Your dataset:<\/span><a href=\"https:\/\/www.kaggle.com\/c\/ub-fmi-cti-2019-2020\/data\"> <span style=\"font-weight: 400;\">Translation Source Language Identification<\/span><\/a><\/p>\n<ul>\n<li aria-level=\"1\">\n<h3><span class=\"ez-toc-section\" id=\"Autocorrect_Tool\"><\/span><b>Autocorrect Tool&nbsp;&nbsp;<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Autocorrect is an AI application that we rely on every day to automatically correct grammatical errors and spelling mistakes while we type. Many have incorporated autocorrect applications like Grammarly in their online word processing applications like Google Docs. Another good example is the autocorrect function in the Microsoft Word application.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Training an autocorrect model is another great opportunity to sharpen your machine learning and specifically, natural language processing skills. This model resembles the Microsoft Word spell checker function. It works with a built-in dictionary and makes alternative suggestions in case it fails to find a correct match for the word typed.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Here you will need to develop your dictionary of correct words against which wrongly typed words will be checked. Secondly, you will be required to train a language model that determines the match words.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"In_summary\"><\/span><b>In summary<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">These are only 10 exciting artificial intelligence projects we have to suggest for you. This list is certainly not exhaustive. We understand that people have diverse interests. We encourage you to research more AI projects that you can undertake to build your project portfolio. You will not only be honing your skills, you\u2019ll be building experience and competence while also updating your knowledge with the latest developments in this fast-evolving field.&nbsp;<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Artificial intelligence (AI) is no longer an emergent technology, it has grown to be part<\/p>\n","protected":false},"author":1,"featured_media":3505,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[219],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v15.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Top Ten Projects of Artificial Intelligence Facts about<\/title>\n<meta name=\"description\" content=\"Artificial intelligence (AI) is no longer an emergent technology, it has grown to be part of our lives. 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