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@article{174252,
        author = {RAJESWARI K and SWATHI B and SATHIYA JOTHI N and RENUKA A},
        title = {Smart Anganwadi Hub for Nutrition, Growth, and Attendance Management},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {10},
        pages = {4760-4764},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=174252},
        abstract = {Anganwadi centers play a crucial role in child development by offering key services related to nutrition, health monitoring, and early education. Conventional data management methods often lead to inefficiencies in tracking children's progress, nutritional health, and attendance. This paper introduces a Smart Anganwadi Hub that integrates digital tools and automated systems to enhance monitoring and management. The proposed system incorporates IoT-enabled devices, AI-driven analytics, and cloud-based data storage for real-time data collection and analysis. Automated attendance tracking through biometric or RFID systems enhances accuracy while reducing human errors. Machine learning algorithms assist in growth and nutrition monitoring to identify developmental patterns and potential malnutrition risks at an early stage. Additionally, mobile applications provide caregivers and Anganwadi workers with real-time reports and alerts for necessary interventions. Initial trials indicate improved data accuracy, efficiency in decision-making, and enhanced service delivery. This Smart Anganwadi Hub represents a significant advancement in child welfare programs by ensuring data-driven, proactive intervention strategies.},
        keywords = {},
        month = {April},
        }