• Shaik Rasool
• S. Vamsi Krishna
• C. Sumanth
• Goutham Yadav

This paper presents the development of an advanced attendance marking system that integrates voice recognition, speech-to-text summarization, and face recognition technologies. The system utilizes voice recognition to transcribe spoken words into text and implements speech-to-text summarization algorithms to condense the transcribed text into concise summaries. Face recognition technology is integrated for accurate identification of individuals, enhancing the accuracy and efficiency of attendance recording processes. The system provides a user-friendly interface for both administrators and end-users, ensuring robust data security and compliance with privacy regulations. It is optimized for performance and scalability to accommodate varying user loads. Comprehensive testing is conducted to evaluate the system’s accuracy, efficiency, and user satisfaction. This solution offers a reliable and secure method for attendance marking in educational and organizational settings, contributing to the advancement of attendance marking systems through the integration of innovative technologies.

Voice Recognition, Speech-to-Text Summarization, Data Security, Face Recognition.

"INTELICON: The Smart Conference of Tomorrow", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 7, page no.f742-f747, July-2024, Available :http://www.jetir.org/papers/JETIR2407594.pdf

"INTELICON: The Smart Conference of Tomorrow", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 7, page no. ppf742-f747, July-2024, Available at : http://www.jetir.org/papers/JETIR2407594.pdf