Union Minister for Agriculture and Farmers' Welfare and Rural Development Shri Shivraj Singh Chouhan launched an enhanced security-focused version of the National Mobile Monitoring System (NMMS) app for recording workers' attendance under the VB-G RAM G scheme. The upgraded version, developed with technical support from Indian Institute of Technology Madras and relevant technical agencies, introduces stronger device-level security, AI-based verification, safeguards against app tampering and fraudulent attendance, offline attendance recording capability for areas without network connectivity, and an exception mechanism for genuine workers facing authentication difficulties.
Shri Chouhan emphasized the government's priority to ensure employment for rural workers, protect their wages, and ensure transparent use of public funds. The VB-G RAM G scheme, implemented across all rural areas from July 1, 2026, has provided employment support to rural households with work undertaken at 31.23 lakh worksites across more than 2.41 lakh Gram Panchayats. The scheme has provided employment to more than 3.65 crore workers belonging to 2.89 crore rural households, generating nearly 46 crore person-days of which approximately 40 crore have been recorded through face authentication.
The financial allocation for the scheme in FY 2026-27 includes ₹95,692 crore from the Centre and a total provision exceeding ₹1.51 lakh crore including states' share. A mother sanction of ₹26,126 crore has already been issued to states and Union Territories as the first instalment.
The enhanced security features include Google Play Integrity integration, device-level security checks, secure data transmission, safeguards against cloning and tampering, and liveness detection to verify that the person appearing before the camera is a real, live worker. AI-based face verification has been refined to account for differences across states and geographical regions. Several states including Andhra Pradesh, Karnataka, Kerala, Odisha, Tamil Nadu, Telangana, Chhattisgarh, Rajasthan and Uttarakhand have achieved 100% attendance recording through face authentication at worksites.
The system includes multi-layered verification before wage payments, featuring an AI-based photo de-duplication module that identifies suspicious or repeated photographs and automatically withholds wage lists and Fund Transfer Orders when such entries are detected. Wage amounts are determined based on electronic Measurement Book (e-MB) records of actual work measured by technical engineers, with payments transferred directly to workers' bank accounts through Direct Benefit Transfer. Random spot inspection teams, social audits, and public disclosure mechanisms have been implemented, with states directed to monitor unauthorized applications and initiate criminal proceedings where misuse is detected.
Separately, the nationwide Farmer ID drive has generated 10 crore 99 lakh 70 thousand Farmer IDs, bringing the country within 30,000 IDs of the 11-crore target set by Prime Minister Shri Narendra Modi for December 2027, achieving this milestone more than a year ahead of schedule.