Smart Ai Voice Assistant: A Real-time Conversational Agent Using Deep Learning And Natural Language Processing

• Author(s):

  Prof. S. B. Nimbekar | Lokhande Rahul Ashok | Jadhav Krishna Devidas | Kakade Satyam Kailas | Dhabale Shrikant Dnyandeo

• Keywords:

  Voice Assistant, NLP, ASR, Transformer, Dialogue Management

• Abstract:

  Voice-driven Interfaces Represent One Of The Most Impactful Shifts In Human-computer Interaction Of The Past Decade. This Paper Presents The Design, Implementation, And Evaluation Of A Smart AI Voice Assistant—an End-to-end Conversational System That Integrates Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), Dialogue Management, And Speech Synthesis Into A Unified Real-time Pipeline. The System Leverages Transformer-based Language Models For Intent Classification And Entity Extraction, Combined With A Recurrent Dialogue Manager That Maintains Contextual State Across Multiturn Conversations. Evaluated On A Curated Dataset Of Spoken Queries Spanning Ten Functional Domains, The Assistant Achieves A Word Error Rate (WER) Of 6.2Keywords — Voice Assistant, Natural Language Processing, Automatic Speech Recognition, Transformer, Dialogue Management, Deep Learning, Human- Computer Interaction

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Other Details

• Paper id:

  IJSARTV12I5105538

• Published in:

  Volume: 12 Issue: 5 May 2026

• Publication Date:

  2026-05-29

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