Combating Mid Day meal fraud using Facial Recognition
Abstract
In India, the Mid-Day Meal Scheme is a significant initiative aimed at providing free
lunch daily to school-going children, enhancing their nutritional intake and supporting their education.
However, the scheme has faced challenges, such as fraudulent practices involving inflated attendance
figures to misappropriate resources. To address these issues, we propose the Mid-Day Meal Fraud
Detection System using Facial Recognition. Our system leverages facial recognition technology to
identify multiple students during meal distribution and verify them against a pre-enrolled facial
database. By automating attendance and meal distribution verification, the system minimizes human
error and prevents unauthorized entries. Additionally, it records attendance digitally, allowing for live
tracking and real-time reporting, which further strengthens accountability. The proposed system
brings several benefits, such as transparency, accountability, and efficiency in the implementation of
the Mid-Day Meal Scheme. Furthermore, the system provides valuable data insights that can help
policymakers monitor and improve the scheme's effectiveness.
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Author(s) and co-author(s) jointly and severally represent and warrant that the Article is original with the author(s) and does not infringe any copyright or violate any other right of any third parties and that the Article has not been published elsewhere. Author(s) agree to the terms that the IJO Journal will have the full right to remove the published article on any misconduct found in the published article.
