Abstract
In this paper, we introduce a way to manage AWS cloud infrastructure using voice commands with the help of Terraform. With this method, we can provision and manage cloud resources without manually writing configuration files or using the AWS console. We achieve this by integrating speech recognition, natural language processing, Terraform automation, and security validation mechanisms. The voice command system acts as the main core part, ensuring users can interact with AWS services through simple spoken instructions. After the user speaks a command, the system converts speech to text, interprets the intent, generates the appropriate Terraform configuration, and executes it to provision or modify infrastructure on AWS. Parameters such as execution status, resource details, and error messages are evaluated to monitor the quality of automation, and are logged and displayed. Users can interact with the system through a web interface, making it accessible to those unfamiliar with command-line tools. Additional features include audit logs, versioning of Terraform configurations, and error handling mechanisms to further enhance system performance.
Keywords
Voice Automation, AWS, Terraform, Infrastructure as Code, Speech Recognition, NLP
Citations
IRE Journals:
Vinodhini S, Ram Kumar K, Syed Athaullah R "Voice-Driven AWS Automation Using Terraform" Iconic Research And Engineering Journals Volume 9 Issue 9 2026 Page 1193-1199 https://doi.org/10.64388/IREV9I9-1715179
IEEE:
Vinodhini S, Ram Kumar K, Syed Athaullah R
"Voice-Driven AWS Automation Using Terraform" Iconic Research And Engineering Journals, 9(9) https://doi.org/10.64388/IREV9I9-1715179
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