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SoundSense AI - Intent Classifier

This is a fine-tuned model checkpoint for SoundSense AI.

Base model / source:

Training data:

  • Custom smart-home command dataset (1050 training / 200 validation samples) covering 10 intent classes: check_weather, control_fan, lock_door, play_music, set_alarm, set_temperature, stop_music, turn_off_light, turn_on_light, unlock_door

Use:

  • Part of SoundSense AI hackathon submission (Stage 7: Intent Classification & Routing).
  • Classifies transcribed ASR text into a smart-home intent and routes to a personalized per-user device response.

Limitations:

  • Built for prototype/demo use.
  • Achieved val F1 = 1.0 at epoch 6, but on a small, clean, curated dataset (200 val samples); real-world generalization to noisy/Hinglish ASR transcripts not yet verified.
  • Performance should be verified on the target environment before deployment.
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