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@article{161780,
        author = {Ayush Jamdade and Rohan Marale	  	        and Vaibhav Nagare and Harshwardhan Patil and Supriya Manwar},
        title = {ML Based Weapon Detection and Criminal Identification with Real Time Alerts},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {6},
        pages = {107-111},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=161780},
        abstract = {In an era marked by complex and evolving security challenges, the "ML Based Weapon Detection and Criminal Identification with Real-Time Alerts" system represents a cutting edges solution that combine the power of artificial intelligence and machine learning to enhance public safety. This innovative system employs computer vision and deep learning algorithms to detect weapons in real-time, alongside facials recognition technology for criminal identification. When a potential threat is detected, the system generates immediate real-time alert, enabling swift and coordinated responses. This technology not only enhances security but also offers the potential for data- driven insight to optimize security strategies. While this system holds the promise of transforming security practices in public spaces and critical infrastructures, it is crucial to address ethical and privacy concerns and ensure compliance with relevant regulations. This project system is a forward-looking solution that empowers security and law enforcement agencies to proactively safeguard communities and protect public well-being.},
        keywords = {},
        month = {},
        }