The latest articles on DEV Community by THAMIZHAMUDHU GOPALAN (@thamizhamudhu_gopalan_367). https://dev.to/thamizhamudhu_gopalan_367 https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3881332%2Ff0ae3ccf-f290-4c35-b176-a0cad727ddfe.png https://dev.to/thamizhamudhu_gopalan_367 en THAMIZHAMUDHU GOPALAN Wed, 15 Apr 2026 23:06:16 +0000 https://dev.to/thamizhamudhu_gopalan_367/voice-controlled-ai-agent-using-whisper-and-local-llm-4ij0 https://dev.to/thamizhamudhu_gopalan_367/voice-controlled-ai-agent-using-whisper-and-local-llm-4ij0 <h2> Overview </h2> <p>I recently built a Voice-Controlled AI Agent that processes both audio and text inputs, understands user intent, and performs meaningful actions through a structured pipeline.</p> <p>The goal of this project was to design a complete AI system that works locally without relying on paid APIs, while maintaining simplicity and reliability.</p> <h2> Architecture </h2> <p>The system follows this pipeline:</p> <p>Input → Speech-to-Text → Intent Detection → Action Execution → Output</p> <h2> Key Features </h2> <ul> <li>Supports both audio (.wav, .mp3) and text input </li> <li>Speech-to-text using Whisper (local model) </li> <li>Intent detection using a hybrid approach (rule-based + LLM fallback) </li> <li>Actions supported: <ul> <li>File creation </li> <li>Python code generation </li> <li>Text summarization </li> <li>Chat responses </li> </ul> </li> <li>Compound commands (multiple actions in one input) </li> <li>Persistent memory using JSON </li> <li>Safe file handling within a dedicated output directory </li> </ul> <h2> Tech Stack </h2> <ul> <li>Python </li> <li>Streamlit </li> <li>Whisper </li> <li>Ollama (Llama3)</li> </ul> <h2> Challenges </h2> <p>One of the key challenges was handling noisy or unclear speech input. This was addressed by combining rule-based logic with LLM-based intent detection.</p> <p>Another challenge was ensuring correct intent classification for short inputs, which required prioritizing rules over model responses.</p> <h2> Learnings </h2> <p>This project helped me understand how real-world AI systems are built beyond just using models — including pipeline design, validation, and system reliability.</p> <h2> Links </h2> <p><a href="https://github.com/thamizhamudhu/voice-ai-agent/blob/main/README.md" rel="noopener noreferrer">https://github.com/thamizhamudhu/voice-ai-agent/blob/main/README.md</a></p> ai python streamlit