AI-ENABLED ATM FOR INTELLIGENT TRANSACTION MANAGEMENT AND ENHANCED SECURITY

Technology
Conceptual
University

The present invention relates to an Artificial Intelligence (AI) enabled Automated Teller Machine (ATM) system configured to provide intelligent transaction management, adaptive security, and predictive maintenance. The system comprises a user interface including a touchscreen, keypad, biometric input devices and display; an AI-enabled core system with one or more processors and trained machine learning models; an initial authentication module adapted to perform multi-layer authentication using biometric, behavioural, and fallback methods; a behaviour analysis module configured to evaluate real-time user activity against historical transaction data; a transaction module comprising a logical sub-module for AI-driven preparation and predictive recommendation of transactions, and an execution sub-module for secure transaction processing; a security monitor configured to detect anomalies and fraudulent activity using AI-based models; and a communication interface for interaction with a bank server. The system operates by authenticating the user, analyzing behaviour, generating predictive transaction suggestions, executing secure transactions and performing adaptive post-transaction security checks. In addition, the invention incorporates predictive maintenance by monitoring operational parameters, identifying potential faults, and initiating corrective actions proactively. The invention thereby delivers an intelligent ATM platform capable of adaptive security, real-time fraud detection, personalized interaction, and enhanced operational reliability.


About Suresh Gyan Vihar University

Suresh Gyan Vihar University is a private research university in Jaipur, Rajasthan, serving roughly 4,000 students through a broad, industry-oriented academic and research profile. Its 32-acre campus combines academic schools, research centres, advanced laboratories, and incubation facilities, giving corporate R&D teams access to faculty expertise, doctoral researchers, and applied research infrastructure. The university emphasizes academia–industry engagement through collaborative programs, industry-linked laboratories, internships, consulting, mentoring, shared workspace, IP support, and startup linkages. Research is supported by competitive funding and collaborations involving the Department of Science and Technology, SERB, DBT, UGC, and Rajasthan government programs. An IPR and Research Cell supports patenting, licensing, technology-transfer agreements, and commercialization.

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