| # SoundSense AI - Intent Classifier |
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| This is a fine-tuned model checkpoint for SoundSense AI. |
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| Base model / source: |
| - bert-base-multilingual-cased, https://huggingface.co/bert-base-multilingual-cased |
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| 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 |
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| 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. |
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| 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. |
