[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-1-en-105":3,"doc-seo-256622-105":53,"doc-detail-256622-en":127},{"code":4,"msg":5,"data":6},0,"success",[7,14,19,24,29,34,39,44,49],{"id":8,"doc_module":9,"doc_module_name":10,"category_name":11,"show_sort_weight":12,"slug":13},11,1,"Template","Presentations",90,"presentations",{"id":15,"doc_module":9,"doc_module_name":10,"category_name":16,"show_sort_weight":17,"slug":18},12,"Resumes",80,"resumes",{"id":20,"doc_module":9,"doc_module_name":10,"category_name":21,"show_sort_weight":22,"slug":23},14,"Invoices",70,"invoices",{"id":25,"doc_module":9,"doc_module_name":10,"category_name":26,"show_sort_weight":27,"slug":28},15,"Posters",60,"posters",{"id":30,"doc_module":9,"doc_module_name":10,"category_name":31,"show_sort_weight":32,"slug":33},16,"Social Media",50,"social-media",{"id":35,"doc_module":9,"doc_module_name":10,"category_name":36,"show_sort_weight":37,"slug":38},17,"Forms",40,"forms",{"id":40,"doc_module":9,"doc_module_name":10,"category_name":41,"show_sort_weight":42,"slug":43},18,"Letters",30,"letters",{"id":45,"doc_module":9,"doc_module_name":10,"category_name":46,"show_sort_weight":47,"slug":48},21,"Paper Templates",5,"papers-templates",{"id":50,"doc_module":9,"doc_module_name":10,"category_name":51,"show_sort_weight":4,"slug":52},158,"General","general-158",{"code":4,"msg":54,"data":55},"ok",{"site_id":56,"language":57,"slug":58,"title":59,"keywords":60,"description":61,"schema_data":62,"social_meta":120,"head_meta":122,"extra_data":124,"updated_unix":126},105,"en","career-path-recommender-system-with-integrated-resume-builder-automated-career-guidance-and-resume-generation","Career Path Recommender System with Integrated Resume Builder - Automated career guidance and resume generation","","The paper addresses the critical challenge of choosing an appropriate career for students and employees by overcoming conventional counseling limitations such as lack of customization and limited scalability. It proposes a Career Path Recommender System integrated with a Resume Builder that uses machine learning algorithms including Decision Trees and K-Nearest Neighbors, and Natural Language Processing for analyzing user inputs. The system generates tailored resumes aligned to recommended career paths, reducing time and effort while improving recommendation accuracy and usability versus traditional approaches.",{"@graph":63,"@context":119},[64,80,102],{"@type":65,"itemListElement":66},"BreadcrumbList",[67,71,74,77],{"item":68,"name":69,"@type":70,"position":9},"https://docshare.wps.com","Home","ListItem",{"item":72,"name":10,"@type":70,"position":73},"https://docshare.wps.com/template/",2,{"item":75,"name":16,"@type":70,"position":76},"https://docshare.wps.com/template/resumes/",3,{"item":78,"name":59,"@type":70,"position":79},"https://docshare.wps.com/template/career-path-recommender-system-with-integrated-resume-builder-automated-career-guidance-and-resume-generation/256622/",4,{"url":78,"name":59,"@type":81,"image":82,"author":87,"headline":59,"publisher":90,"fileFormat":93,"inLanguage":57,"description":61,"dateModified":94,"datePublished":95,"encodingFormat":93,"isAccessibleForFree":96,"interactionStatistic":97},"DigitalDocument",{"url":83,"@type":84,"width":85,"height":86},"https://docshare.wps.com/thumbnails/career-path-recommender-system-with-integrated-resume-builder-automated-career-guidance-and-resume-generation/256622.png","ImageObject",442,249,{"name":88,"@type":89},"Aladdin","Person",{"url":68,"name":91,"@type":92},"DocShare","Organization","application/pdf","2026-10-21","2026-09-13",true,{"@type":98,"interactionType":99,"userInteractionCount":101},"InteractionCounter",{"@type":100},"ViewAction",6,{"@type":103,"mainEntity":104},"FAQPage",[105,111,115],{"name":106,"@type":107,"acceptedAnswer":108},"What problem does the proposed system target?","Question",{"text":109,"@type":110},"It targets the difficulty students and employees face when selecting suitable career paths, especially because conventional counseling is often non-customized and hard to scale.","Answer",{"name":112,"@type":107,"acceptedAnswer":113},"Which technologies are used to generate career recommendations and resumes?",{"text":114,"@type":110},"The system combines machine learning methods such as Decision Trees and K-Nearest Neighbors with Natural Language Processing to analyze academic records, skills, interests, and work preferences.",{"name":116,"@type":107,"acceptedAnswer":117},"How does the integrated resume builder help users?",{"text":118,"@type":110},"It creates tailored resumes that match the proposed career paths, helping users present relevant skills and achievements with less time and effort compared with manual resume development.","https://schema.org",{"og:url":78,"og:type":121,"og:title":59,"og:site_name":91,"og:description":61},"article",{"robots":123,"canonical":78},"index,follow",{"doc_id":125,"site_id":56},256622,1790661710,{"code":4,"msg":5,"data":128},{"doc_id":125,"user_id":129,"nickname":88,"user_avatar":130,"doc_module":9,"category_id":15,"category_name":16,"doc_title":59,"doc_description":61,"doc_content":131,"file_id":132,"file_url":133,"file_type":134,"file_size":135,"view_count":101,"is_deleted":4,"is_public":9,"is_downloadable":9,"audit_status":9,"page_count":136,"language":137,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":138,"faqs":139,"seo_title":140,"seo_description":61,"update_tm":141,"read_time":76},2336478503145,"https://ap-avatar.wpscdn.com/davatar_276721f389ce27ea32af1340a28f341c","REST Journal on Data Analytics and Artificial Intelligence Vol: 4(3), September 2025  \nREST Publisher; ISSN: 2583-5564 Website: [http://restpublisher.com/journals/jdaai/](http://restpublisher.com/journals/jdaai/)[ ](http://restpublisher.com/journals/jdaai/)DOI: [https://doi.org/10.46632/jdaai/4/3/19](https://doi.org/10.46632/jdaai/4/3/19)  \nCareer Path Recommender System with Integrated Resume  \nBuilder  \n* Balasubramani M, A. Murugavel, Nanthakumar S, Pavan S, Abishek Babu M, Bharath B  \nV.S.B. Engineering College, Karur, Tamil Nadu, India.  \n*Corresponding Author Email: [balasubramanimvsb@gmail.com](balasubramanimvsb@gmail.com)  \nAbstract: The selection of the right career is a critical choice that students and employees take. Conventional counseling services tend to be not customized and non-scalable. The present paper presents a Career Path Recommender System coupled with a Resume Builder which is based on machine learning algorithms, such as Decision Trees, K-Nearest Neighbors, etc., to promote appropriate career opportunities in accordance with the skills, interests and the academic backgrounds of the users. The system also develops tailored resumes which match the proposed career paths and less effort and time is required to develop resumes. Experiments demonstrate that there is better accuracy in recommendations and usability than in the traditional approaches.  \n1. INTRODUCTION  \nThe high-paced developments in technology and the dynamic characteristics of the global employment sector have changed the way people think about planning their careers and going about it tremendously. The challenge is usually to find an appropriate career line that suits students and professionals in the current competitive world that seems tobe dynamic in its demands alongside skill sets, interests and aspirations of both the students and the professional. The old-fashioned career guidance techniques, including manual guidance, generic aptitude tests, or peer and family recommendations are usually inadequate as they do not take into consideration the personal capabilities of an individual concerning the current job trends. In order to close this gap, the use of intelligent systems that operate based on the artificial intelligence (AI), machine learning (ML), and data analytics is becoming a more common practice in order to offer personalized career guidance. The Career Path Recommender System and Built-in Resume Builder is developed to fulfill this urgent requirement by providing an automated platform, which is founded on data and which, beyond recommending the most appropriate career path, also helps users to create the professional resumes aligned with the chosen careers. This two-fold feature is important in that it does not only provide the users with the clarity of their future career moves, but also, it also provides them with a potent instrument of presenting themselves well in the marketplace. Some of the algorithms of the system include K-Nearest Neighbor (KNN), decision trees, and Natural Language Processing (NLP) algorithms used in analyzing user inputs including academic records, skills, personal interests, and work preferences resulting in creating accurate and customized career ideas and suggestions. Moreover, the in-built resume make feature will make sure that the user profile portrays the best skills and achievements that are related to the proposed career thus boosting their employability. This is an intelligent resume builder, unlike the online resume templates, which are always in the same format, this can be customized dynamically by suggesting ways to improve the resume and display competencies that are in line with industry-specific demands. The site also includes a convenient interface where people can fill their information, navigate around the recommended routes, and instantly convert their profiles into professionally-structured resumes. Combining career advice and resume writing, the system saves both time and ef","cbCaifFnWIR73XMJ","https://ap.wps.com/l/cbCaifFnWIR73XMJ","pdf",380907,8,"English","# Abstract\n# Introduction\n## Key problem: non-customized career counseling\n## Proposed solution: recommender + resume builder\n# Related Work\n## Career recommendation approaches\n## Resume generation approaches\n## Integrated platforms combining both","[{\"question\":\"What problem does the proposed system target?\",\"answer\":\"It targets the difficulty students and employees face when selecting suitable career paths, especially because conventional counseling is often non-customized and hard to scale.\"},{\"question\":\"Which technologies are used to generate career recommendations and resumes?\",\"answer\":\"The system combines machine learning methods such as Decision Trees and K-Nearest Neighbors with Natural Language Processing to analyze academic records, skills, interests, and work preferences.\"},{\"question\":\"How does the integrated resume builder help users?\",\"answer\":\"It creates tailored resumes that match the proposed career paths, helping users present relevant skills and achievements with less time and effort compared with manual resume development.\"}]","Career Path Recommender System with Integrated Resume Builder - Automated career guidance and resume generation | PDF",1789305618]