[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-391839-105":59,"doc-detail-391839-en":130},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":123,"head_meta":125,"extra_data":127,"updated_unix":129},105,"en","ai-interview-preparation-and-evaluation-system","AI Interview Preparation and Evaluation System","","The AI Interview Preparation and Evaluation System is a web-based platform designed to help students and job seekers prepare effectively for technical and professional interviews. Interview readiness is difficult when candidates cannot access personalized questions, structured practice, and immediate, performance-based feedback. The system enables registration and login, resume/skill input, domain-based question generation, response evaluation, and actionable feedback, helping users identify strengths and improvement areas.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":30,"@type":76,"position":81},"https://docshare.wps.com/document/technology/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/ai-interview-preparation-and-evaluation-system/391839/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/ai-interview-preparation-and-evaluation-system/391839.png","ImageObject",300,407,{"name":92,"@type":93},"anakgang17","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-15","2026-09-25",true,{"@type":102,"interactionType":103,"userInteractionCount":52},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What problems does the AI Interview Preparation and Evaluation System address?","Question",{"text":112,"@type":113},"It addresses the lack of personalized interview questions, structured practice sessions, and immediate feedback in traditional preparation methods.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How does the system generate interview questions for users?",{"text":117,"@type":113},"Users register, log in, and provide skills or a resume; the system then provides interview questions based on the selected domain and skill set.",{"name":119,"@type":110,"acceptedAnswer":120},"What technologies are used to build the application?",{"text":121,"@type":113},"The application is developed using the MERN Stack: MongoDB for the database, Express.js and Node.js for backend development, and React.js for the frontend interface.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},391839,1790488354,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":29,"category_name":30,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":52,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":139,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":144,"read_time":145},962090883568,"https://ap-avatar.wpscdn.com/davatar_a8503ba1806abce46bf441b54a3ca4cd","AI INTERVIEW PREPARATION AND EVALUATION SYSTEM  \nMs. Vijayalakshmi S*1, Adithya M*2, Asifa Thasnim M*3, Fran Delany A*4, Iniyaa M*5  \n*1,2,3,4, 5Department Of Information Technology, Batchelor Of Technology, Sri Shakthi Institute Of  \nEngineering And Technology (Autonomous) Coimbatore-641062, India.  \nABSTRACT  \nThe AI Interview Preparation and Evaluation System is a web-based platform designed to help students and job seekers prepare effectively for technical and professional interviews. Preparing for interviews can be challenging because candidates often lack access to personalized interview questions, practice sessions, and proper feedback regarding their performance.  \nThe proposed system provides an intelligent platform where users can register, log in, upload their resume or enter their skills, and receive interview questions based on their selected domain and skill set. The system evaluates user responses and provides feedback that helps candidates understand their strengths and areas for improvement.  \nThe application is developed using the MERN Stack, consisting of MongoDB for database management, Express.js and Node.js for backend development, and React.js for the frontend user interface. The system provides secure authentication, interview question management, mock interview sessions, performance evaluation, and progress tracking.  \nThe proposed system helps users improve their interview confidence and technical knowledge by providing a structured and interactive interview preparation environment.  \nKeywords: Artificial Intelligence, Interview Preparation, Mock Interview, Evaluation System, MERN Stack, React.Js, Node.Js, Mongodb, Express.Js, Skill Assessment, Performance Analysis.  \nI. INTRODUCTION  \nIn the current competitive job market, technical and professional interviews play an important role in the recruitment process. Students and job seekers need proper preparation to perform well during interviews. However, traditional interview preparation methods mainly depend on books, online videos, and random question collections. These methods do not always provide personalized questions or immediate feedback.  \nThe AI Interview Preparation and Evaluation System aims to solve this problem by providing an intelligent web-based platform for interview practice and performance evaluation.  \nThe system provides a secure, structured, and user-friendly environment for candidates to practice interview questions based on their skills and selected domain.  \nThe primary users of the system are:  \nCandidates, who can register, select their skills, attend mock interviews, and receive performance feedback. Administrators, who can manage users, interview questions, domains, and system records.  \nThe application uses modern web technologies through the MERN Stack. React.js is used to create an interactive frontend interface, Node.js and Express.js are used for backend API development, and MongoDB is used to store user information, interview questions, answers, and evaluation results.  \nThe system helps candidates improve their technical knowledge, communication, confidence, and interview performance through continuous practice and evaluation.  \nOBJECTIVE:  \n1. AI-Based Interview Preparation  \nTo provide candidates with interview questions based on their selected skills, domain, and technical knowledge.  \n2. Mock Interview Practice  \nTo allow users to participate in mock interview sessions and practice answering interview questions.  \n3. Performance Evaluation  \nTo evaluate user responses and provide feedback based on their interview performance.  \n4. Personalised Learning  \nTo recommend interview questions and preparation topics based on the user's skills and performance.  \n5. Secure Authentication  \nTo provide secure registration and login functionality for users using authentication mechanisms.  \n6. Database Integration  \nTo securely store user profiles, interview questions, responses, scores, and performance records using MongoDB","cbCain0nnW3joJ7Y","https://ap.wps.com/l/cbCain0nnW3joJ7Y","pdf",868118,11,"English","# I. INTRODUCTION\n# II. LITERATURE SURVEY\n# III. METHODOLOGY","[{\"question\":\"What problems does the AI Interview Preparation and Evaluation System address?\",\"answer\":\"It addresses the lack of personalized interview questions, structured practice sessions, and immediate feedback in traditional preparation methods.\"},{\"question\":\"How does the system generate interview questions for users?\",\"answer\":\"Users register, log in, and provide skills or a resume; the system then provides interview questions based on the selected domain and skill set.\"},{\"question\":\"What technologies are used to build the application?\",\"answer\":\"The application is developed using the MERN Stack: MongoDB for the database, Express.js and Node.js for backend development, and React.js for the frontend interface.\"}]","AI Interview Preparation and Evaluation System | PDF",1790359337,28]