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@article{197662,
        author = {Jyotshna Reddy and Shruthi N and Harsh Singh and Saksham Gautam and Naresh Rajkumar},
        title = {NextGen: An AI-Powered Placement Preparation Platform with Integrated Proctoring, Adaptive Interviews, and ATS Resume Scoring},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {9050-9053},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=197662},
        abstract = {The dynamic demands of contemporary technical interviews and traditional placement preparation techniques have drastically diverged due to the quick evolution of recruitment tactics. This article presents NextGen, a comprehensive AI-powered placement preparation platform that offers engineering students a single, adaptable learning environment, eliminating the need for fragmented tooling. The system consists of six main components: an AI-driven mock interview simulator powered by the Gemini and OpenAI APIs; a guided resume builder with industry-aligned templates; an Applicant Tracking System (ATS); an automated coding and aptitude evaluation engine with instant feedback; a performance analytics dashboard offering personalised progress visualisation; and computer vision-based ethical proctoring using YOLOv5 and OpenCV for real-time anomaly detection. Independent validator nodes sign their observations, carry out real-time anomaly checks, and provide scored payloads to the backend aggregator. For tamper-proof audit trails, the hub aggregator gathers complete session data and anchors summary metrics including uptime, accuracy scores, and SHA-256 report hashes. React.js, Node.js/Flask, and MongoDB Atlas are used in the platform’s scalable microservices design, which is implemented on cloud infrastructure. Experimental evaluation and a comparative feature analysis show that the platform offers significantly better customisation, ethical oversight, and SLA verifiability than centralised alternatives.},
        keywords = {Placement preparation, computer vision, YOLOv5, natural language processing, resume scoring, mock interviews, ATS, performance analytics, React.js, Flask, MongoDB, adaptive assessment, proctoring, Gemini API},
        month = {April},
        }