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@article{178419,
        author = {Jay Mahendra khanderay and Rohit Liladhar Desale and Pritam Dilipsing Girase and Santosh K Bhandare},
        title = {Accidental Report Portal},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {8678-8683},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178419},
        abstract = {Road traffic accidents continue to be a leading cause of fatalities and serious injuries worldwide. Conventional methods of accident reporting often lead to significant delays in emergency response, which can result in preventable loss of life. To overcome these challenges, this project proposes an intelligent Accident De-  action and Reporting System that automates the entire process. Leveraging technologies such as the Internet of Things (IoT), Machine Learning (ML), Cloud Computing, and Web Platforms, the system utilizes surveillance infrastructure to identify accidents in real time. It assesses the severity of the incident and immediately communicates critical information to emergency responders via a centralized web portal.},
        keywords = {Accident Recognition, Deep Learning, YOLO Algorithm, Machine Learning, Convolutional Neural Networks, Real-Time Surveillance},
        month = {May},
        }