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@article{172634,
        author = {S RAMANATHAN and V ANITHA and P VANITHA and M SUBASREE and D JULIET THESSALONICA},
        title = {Sentinel Sphere: Enhanced Smart Helmet for Navigation and Road Safety},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {9},
        pages = {545-549},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=172634},
        abstract = {Traffic is the main issue that arises on a daily basis in this fast-paced environment. Controlling that traffic to get to the destination on time is really challenging. Even more challenging to monitor are changes due to traffic in real time and vehicle movement. The number of accidents is rising despite the presence of traffic signals, optimal traffic distribution, and emergency police nearby. This could be a one-time problem for rare divers. For regular drivers who operate delivery trucks and do cab responsibilities, this issue is highly significant. The work examines live navigation assistance for users, without distraction to their focus while facilitating accident avoidance and detection. The above aim is being achieved with three APIs, namely Google TTS, Gemini API and Deepgram API, along with sensors like MQ3, accelerometer and gyroscope. This paper helps in handling the safety of the driver and public while driving.},
        keywords = {Artificial Intelligence (AI), Internet of Things (IoT), Machine Learning (ML), Road Safety.},
        month = {February},
        }