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@article{172633,
        author = {Sumit Sharma and Sushil Singh and Vaibhav Pandey and Saraansh Mishra and Venkatesh M R},
        title = {Smart Poverty Detection And Relief Mangement},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {9},
        pages = {873-877},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=172633},
        abstract = {Eradicating poverty is still a major worldwide issue that requires creative solutions for accurate identification and efficient use of resources. In order to forecast and solve poverty holistically, this research presents a Smart Poverty Detection and Relief Management System that makes use of blockchain technology, machine learning, and satellite images. To create a solid dataset, the system takes into account a wide range of socioeconomic factors, including economic statistics, healthcare access, agricultural practices, and educational attainment. High- resolution satellite photography is used to extract characteristics using Convolutional Neural Networks (CNNs), which may detect patterns such as resource proximity, land usage, and infrastructure quality. Accurate estimates of poverty are produced by combining these insights with predictive algorithms such as Random Forests.},
        keywords = {},
        month = {February},
        }