RNIT AI Solutions Deploys First AI-Based Attendance System in Lakshadweep Schools

1 min read Updated on 23 Feb 2026, 09:51 PM

Reviewed by

Ashish TScanX News Team

Overview

RNIT AI Solutions Limited has successfully deployed an AI-based Facial Recognition Attendance Management System for the Department of Education in Lakshadweep, representing the first implementation of such technology in the Union Territory. The system covers all schools under the Department of Education and facilitates daily attendance capture for students and teachers with comprehensive reporting functions. The platform is currently operational and provides secure, technology-enabled attendance recording across educational institutions in Lakshadweep.

*this image is generated using AI for illustrative purposes only.

RNIT AI Solutions Limited has achieved a significant milestone by successfully deploying an AI-based Facial Recognition Attendance Management System for the Department of Education in Lakshadweep. This implementation represents the first deployment of such an AI-based attendance system in the Union Territory, marking a technological advancement in the region's educational infrastructure.

System Implementation Details

The AI-based Facial Recognition Attendance Management System has been implemented across all schools under the Department of Education, Lakshadweep. The comprehensive deployment covers the following key aspects:

Implementation Scope:	Details
Coverage:	All schools under Department of Education, Lakshadweep
Users:	Students and teachers
Functionality:	Daily attendance capture and reporting
Status:	Currently operational
Territory Significance:	First AI-based attendance system in Lakshadweep

Technology Features and Capabilities

The platform facilitates secure, technology-enabled attendance recording and reporting for educational institutions across Lakshadweep. The system incorporates facial recognition technology to streamline the attendance process, eliminating traditional manual methods and providing automated solutions for educational administration.

Key operational features include:

Automated attendance capture for both students and teachers
Comprehensive reporting functions for administrative oversight
Secure technology platform ensuring data protection
Daily operational capability across all participating schools

Regulatory Compliance and Corporate Information

RNIT AI Solutions Limited disclosed this development under Regulation 30 of the Securities and Exchange Board of India (Listing Obligations and Disclosure Requirements) Regulations, 2015. The company, formerly known as Autopal Industries Limited, operates with scrip code 517286 on BSE Limited.

The successful rollout demonstrates RNIT AI Solutions Limited's capability in delivering AI-based solutions for government and educational sectors, establishing a technological precedent in Lakshadweep's educational infrastructure.

RNIT AI Solutions Secures Paid Pilot Order from Meghalaya Government for AI Face Recognition System Integration

2 min read Updated on 18 Feb 2026, 09:37 PM

Reviewed by

Radhika SScanX News Team

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Overview

RNIT AI Solutions Limited has received a paid pilot work order from the Government of Meghalaya for integrating its AI face recognition system with Meghalaya ONE and CM Connect applications. The order, received on 17th February 2026, marks the company's entry into Meghalaya and expansion into the North East region. Operating under a Tier-1 structure with 15-day execution timeline, the pilot project offers potential for state-wide rollout upon successful proof of concept completion.

*this image is generated using AI for illustrative purposes only.

RNIT AI Solutions Limited has secured a significant paid pilot work order from the Government of Meghalaya for integrating its AI face recognition system with state government applications. The order, received on 17th February 2026, represents the company's strategic entry into the North East region and strengthens its presence in delivering AI-driven citizen centric services for government platforms.

Order Details and Scope

The work order has been awarded by the Planning Investment Promotion and Sustainable Department, Government of Meghalaya, for the Integration of RNIT AI Solution – Face Recognition System with Meghalaya ONE and CM Connect applications. This engagement operates under a paid pilot model with defined scope and volume, designed as a proof-of-concept framework.

Parameter:	Details
Awarding Entity:	Planning Investment Promotion and Sustainable Department, Government of Meghalaya
Project Type:	Paid pilot Work Order for AI Face Recognition System integration
Target Applications:	Meghalaya ONE and CM Connect
Order Classification:	Tier-1 (Upto Rs.1 Cr)
Execution Timeline:	15 days from receipt date
Order Receipt Date:	17th February 2026

Strategic Significance

This work order marks RNIT's entry into a new State and forms part of its focused expansion into the North East Region, strengthening the company's footprint in delivering AI-driven citizen centric services for government platforms. The assignment has been structured under a pilot to rollout framework, where successful completion of the proof of concept could lead to further deployment across the state.

Project Structure and Future Potential

The work order operates under RNIT's tiered project classification system, falling within Tier-1 category. The company's project classification includes:

Tier-1 Orders: Upto Rs.1 Cr
Tier-2 Orders: Rs. 1 Cr to Rs. 10 Cr
Tier-3 Orders: Rs. 10 Cr to Rs. 50 Cr
Tier-4 Orders: Above Rs. 50 Cr

The work order provides for transition from the pilot to rollout across the State, subject to successful completion of the proof of concept and in accordance with the terms and conditions specified therein. This structure offers potential for scaling the engagement based on performance and government requirements.

Regulatory Compliance

RNIT AI Solutions Limited has disclosed this development in compliance with Regulation 30 of the SEBI (Listing Obligations and Disclosure Requirements) Regulations, 2015. The company confirmed that the promoter, promoter group, and group companies have no interest in the awarding entity, and the order does not constitute a related party transaction.