Smart Poverty Detection And Relief Mangement

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Sumit Sharma; Sushil Singh; Vaibhav Pandey; Saraansh Mishra; Venkatesh M R

Smart Poverty Detection And Relief Mangement

Authors: Sumit Sharma, Sushil Singh, Vaibhav Pandey, Saraansh Mishra, Venkatesh M R

Unique Paper ID: 172633
Volume: 11
Issue: 9
PageNo: 873-877

Keywords: No Keywords Found

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.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 9
PageNo: 873-877

Smart Poverty Detection And Relief Mangement

Available:https://ijirt.org/article?manuscript=172633

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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