AI-Driven Personal Desktop Voice Assistant – VANI (Voice Assisted Neural Intelligence)
Prof. Sunil Kale1, Prof. Nagraj Kamble2, Mr. Ashish Lomate3, Mr. Abhishek Doijad4,
Mr. Shailesh Hurdale5, Mr. Rohan Mahajan6
1,2 Professor of Department of Information Technology, M. S. Bidve engineering college, Latur Affiliated to, Dr. Babasaheb Ambedkar Technological University, Lonere
3,4UG Students, Department of Information Technology, M. S. Bidve engineering college, Latur Affiliated to, Dr. Babasaheb Ambedkar Technological University, Lonere
Email Id smkale14jan@gmail.com1, nagraj.kamble@gmail.com2,
ashishlomate03@gmail.com 3, abhishekdoijad10@gmail.com4,rohanmahajan284@gmail.com5 , shivahurdale@gmail.com6
Abstract - With the rapid advancement of computing technology, users increasingly expect systems to be intelligent, responsive, and easy to use. Despite this progress, desktop computing environments still rely heavily on traditional input methods such as keyboards and mouse devices. These methods can be inefficient, especially when performing repetitive tasks like opening applications, searching information, managing files, or controlling system settings.
Voice-based assistants have gained popularity in mobile devices and smart home environments; however, their presence in desktop systems remains limited. Existing solutions often depend on cloud services, lack customization, or provide minimal control over local system resources. To address these challenges, this project introduces VANI, an AI-driven personal desktop voice assistant that enables natural and intuitive interaction through both voice and text commands.
VANI is designed to improve productivity, accessibility, and user experience by combining intelligent automation with a graphical user interface. The assistant acts as a digital companion capable of understanding user intent, executing tasks, and providing meaningful responses in real time.
Key Words: Artificial Intelligence (AI), Personal Desktop Voice Assistant, Voice-Based Interaction, Natural Language Processing (NLP), Speech Recognition, Text-to-Speech (TTS), System Automation, Intent Recognition, Human–Computer Interaction (HCI), Intelligent User Interface.
