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@article{172387,
        author = {MANU B M and Khushi K and Pallavi B H and Pushpa R K and Suchithra N P},
        title = {ENHANCED PROTECTION METHODS FOR WOMEN'S SAFETY  USING IOT},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {8},
        pages = {2934-2940},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=172387},
        abstract = {This research proposes an IoT-based safety framework for women, combining wearable devices, mobile apps, and cloud technology. Key features include real-time GPS tracking, SOS alerts, geofencing, and biometric monitoring to detect distress. Machine learning analyzes data to predict threats, while cloud connectivity enables swift emergency responses with live audio/video streaming. Scalable and adaptable, this system enhances security and empowers women with reliable safety tools.},
        keywords = {},
        month = {January},
        }