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@article{164058,
        author = {Shaikh Mohd. Ashfaque and Wael Shaikh and Badreen Jaffer and Ramya Kanagaraj},
        title = {Live Camera & Facial Recognition-Based Student Monitoring System},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {12},
        pages = {35-38},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=164058},
        abstract = {Define all symbols used in the abstract. Do not cite references in the abstract. Do not delete the blank line immediately above the abstract.
In the current situation, contactless attendance system using face recognition is an efficient preventive strategy since they allow for a safe and efficient way of marking student entry in and out.  In terms of its most recent version, facial recognition technology has made recording student attendance simpler than ever before. A face recognition attendance system automatically identifies and confirms a person and records attendance based on their face detection. The OmniVerse project is a pioneering venture into the world of AI-powered web applications, promising to transform digital content interaction and artificial intelligence engagement. It streamlines content creation, aids creative professionals, and revolutionizes music production. OmniVerse caters to a diverse user base, emphasizing efficiency and innovation, while its precision and user-friendly design make it an indispensable gateway to heightened productivity and boundless creativity, driven by AI-driven text, image, and audio generation features, offering a transformative user experience.
},
        keywords = {AI, Generative AI, WebApp, Student Identity System, Facial Recognition, Attendance Tracking, Computer Vision},
        month = {},
        }