Centre introduces AI-based verification upgrade in attendance app for rural jobs scheme
The central government upgraded the attendance‑tracking app for the rural employment scheme with AI‑based verification features. New tools include liveness detection, anti‑tampering safeguards and stronger face‑recognition checks.

Union Rural Development Minister Shivraj Singh Chouhan announced that the National Mobile Monitoring System (NMMS), which records attendance for workers under the Mahatma Gandhi National Rural Employment Guarantee Act, will now incorporate advanced artificial intelligence capabilities. The upgraded system is designed to verify that the person clocking in is truly present at the worksite, using liveness detection to confirm eye movement and facial expressions, and anti‑tampering mechanisms that flag any attempts to manipulate the device or software.
The enhanced face‑verification module compares live images with stored biometric data, reducing the risk of ghost workers and ensuring that wages are paid only for genuine labor. Officials say the changes will improve transparency and reduce fraud, which has been a persistent challenge in large‑scale public works programs. Training sessions are being organized for field officers and contractors to familiarize them with the new features, and a phased rollout is planned across districts that report higher incidences of attendance irregularities.
For Indian readers, the upgrade matters because the rural employment scheme supports millions of households and contributes significantly to rural incomes. Strengthening the integrity of the attendance system can lead to more accurate wage distribution, better project outcomes, and increased public confidence in government programs. The move also signals a broader push toward digital governance and the use of technology to address long‑standing administrative issues in the country.
Comments 0