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@article{198493,
        author = {Ramalingam M and Kanish RT and Karthikeyan V and Kalaiyarasi R},
        title = {Interview Bridge using AI},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {10055-10061},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=198493},
        abstract = {INTERVIEW BRIDGE is an intelligent web-based interview platform designed to assist students in interview preparation, skill monitoring, performance analysis, resource planning and question prediction using Artificial Intelligence and real-time data. The system provides a simple and accessible interface that supports informed decision-making throughout the interview preparation lifecycle. A key feature of the platform is the Current Preparation module, where users can add and manage topics, track daily preparation activities, and monitor the current progress stage. After preparation completion, the system generates performance and skill analysis along with improvement insights. interview bridge also provides daily interview question tracking, supported by visual analytics such as monthly bar graphs to help students understand trends and plan preparation effectively. The platform integrates AI-driven performance analysis, intelligent question prediction, skill assessment, preparation planning, and mock interview evaluation to deliver personalized recommendations and early feedback. The project demonstrates how artificial intelligence and modern web technologies can enhance preparation efficiency, reduce interview anxiety, and support smarter interview practices.},
        keywords = {Artificial Intelligence, Interview Preparation System, Skill Assessment, Performance Analysis, Question Prediction, Mock Interview Evaluation, Personalized Recommendations, Learning Analytics, Progress Tracking, Web-Based Platform, Data Visualization, Predictive Analytics, Student Support System, Career Development, Real-Time Feedback.},
        month = {April},
        }