Final YearAdvancedAI/ML 3-4 months
AI Voice Assistant with Speech-to-Text
A voice assistant that transcribes speech, understands intents, performs actions (reminders, search, smart-home), and replies with text-to-speech.
PythonWhisper / VoskspaCy / RasaFastAPIReact
Find GitHub repos & source code →How to build it — step by step
- 1Speech-to-text: Transcribe audio with an ASR model (Whisper/Vosk) handling noise.
- 2Intent + entities: Classify intents and extract entities (time, query, device) from the transcript.
- 3Actions: Route intents to skills (reminders, weather, smart-home) and gather results.
- 4Response: Generate a reply and speak it with text-to-speech; show a chat transcript.
Key features to implement
- ✓Robust speech-to-text
- ✓Intent and entity recognition
- ✓Pluggable skills
- ✓Text-to-speech replies
- ✓Conversation history
💡 Unique twist to stand out
Add a wake-word detector and run ASR locally for privacy, only calling external APIs when explicitly needed.
🎓 What you'll learn
Automatic speech recognition, NLU/intent systems, action routing, and conversational UX.