• Indira Umarji
• Akshata Reddy
• Sonia M Sonar
• Spandana Sridhar Joglekar
• Vinyas L S

The advent of the digital age has inaugurated in a paradigm shift in how individuals connect and interact on social platforms. However, the reliance on profile IDs for user identification poses a significant hindrance to seamless engagement. In response, this project endeavors to develop a solution harnessing facial recognition technology to streamline user identification processes. The project titled “User Identification through Facial Recognition aims to design and implement a robust facial recognition system capable of accurately identifying individuals without the need for manual profile IDs. Through extensive data collection, preprocessing, and the development of a Convolutional Neural Network (CNN) model, the system achieves notable accuracy rates of 94% on seen data and 43% on unseen data. Integration with the Flask web framework enables the deployment of the facial recognition model in a user-friendly web application. This integration not only facilitates real-time facial recognition but also allows for the retrieval of user profile details without prior knowledge of profile IDs, enhancing the platform's usability and accessibility.

profile IDs, Facial Recognition, Seamless engagement, Preprocessing, Convolution Neural Network

"User Identification Through Facial Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.h661-h666, April-2024, Available :http://www.jetir.org/papers/JETIR2404775.pdf

"User Identification Through Facial Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. pph661-h666, April-2024, Available at : http://www.jetir.org/papers/JETIR2404775.pdf