New Delhi, Feb 16 (JKNS): Showcasing its rapid transformation into a data-driven and AI-powered force, the Indian Army presented a comprehensive suite of indigenous artificial intelligence technologies at the India AI Summit, highlighting their dual-use potential for both national defence and civilian applications.
The Indian Army is accelerating its transformation into a data-centric, AI-enabled force aligned with the national vision of technological self-reliance and secure digital capability.
At the India AI Summit, the Indian Army is presenting a suite of indigenous AI applications in use which can deliver strong dual-use value in education, disaster response, cybersecurity, transportation safety and digital infrastructure protection.
AI Examiner is an AI-enabled automated evaluation system which can be integrated into any Learning Management System for creating assessments, analysing submissions, generating score and giving structured feedback to trainees.
SAM-UN (Situational Awareness Module for UN Operations). An indigenous web-based platform integrating geospatial intelligence, structured reporting, and AI analytics to provide leaders a unified real-time situational awareness for mission planning, monitoring, coordination and rapid response, ideally suited for disaster management centres, emergency coordination hubs, and smart city control rooms.
EKAM: AI-as-a-Service. EKAM AI is a secure, modular indigenous air gapped cloud platform providing unified access to AI chat, document & presentation generation, multilingual translator, summariser, RAG and specialised bots for multimedia generation. It ensures access to compute and full data sovereignty.
PRAKSHEPAN, AI-Driven Military Climatology & Disaster Prediction System. PRAKSHEPAN is India’s first hybrid military climatology decision-support system capable of predicting landslides, floods, and avalanches 3–7 days in advance using multi-agency scientific datasets, terrain intelligence, and AI/ML modelling. Developed through collaboration with national scientific agencies and MoES, it provides highly accurate, location-specific hazard forecasts for sensitive operational regions.Provides early warning capability for disaster management authorities, border area communities, infrastructure planners and emergency response agencies, strengthening national disaster resilience.
XFace (AI Facial Recognition System). AI-powered identification and authentication system for rapid image and video-based verification to support installation security, surveillance and identity verification. Useful for law enforcement, airport security and missing-person identification.
Nabh Drishti. A distributed mobile-enabled telemetry reporting system capturing positional data, imagery, orientation parameters and time-stamped observations, processed through an AI backend for real-time visualization. Enables rapid reporting and coordinated response in operational environments. Also supports disaster reporting, environmental monitoring, and emergency search coordination by citizens.
Driver Fatigue Detection. Portable rugged AI device that detects driver drowsiness in real time and generates alerts, functioning reliably in darkness, rough terrain and long driving conditions.
AI-in-a-Box (Portable Edge AI Platform). Compact deployable high compute platform capable of running AI models locally in secure or disconnected environments. Enables AI deployment in remote or classified operational zones. Useful for remote hospitals, rural administration centres, industrial automation sites and disaster-affected regions.
Vehicle Tracking System. AI-enabled fleet monitoring system combining GPS telemetry, analytics, and real-time dashboards. Supports convoy monitoring, logistics visibility and route optimisation.
Deepfake Video Detection System. AI system that detects synthetic or manipulated media using advanced facial and signal-pattern analysis to counter information warfare and false narratives.
Proactive Mobile Security System. AI-driven mobile protection solution identifying abnormal behaviour, malware threats and suspicious data transmission patterns. Strengthens endpoint security for operational communications. Supports enterprise device security, banking protection, and institutional cybersecurity frameworks.
Machine Learning Based Web Application Firewall. Adaptive AI firewall detecting SQL injection cross-site scripting, bot attacks, API abuse and emerging cyber threats in real time to protect critical digital infrastructure from cyber warfare attacks. Secures banking, healthcare, e-commerce,and citizen service platforms can secured with this application.
The Indian Army’s AI initiatives presented at the India AI Summit demonstrate a decisive shift toward a secure, networked and AI-empowered ecosystem. Each indigenous system embodies a strong dual-use philosophy strengthening national defence preparedness while simultaneously contributing to civilian safety, disaster resilience, digital security and nation building. (JKNS)
