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Update README.md

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@@ -60,6 +60,10 @@ The submission version is feature-frozen around the complete demo loop:
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  - Edit or delete saved transactions while keeping customer credit and inventory balances consistent.
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  - Export the ledger as CSV for spreadsheet sharing.
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  When Modal endpoints are configured, parsing runs through the Modal backend using `nvidia/NVIDIA-Nemotron-3-Nano-4B` via Hugging Face Inference. If Modal is unavailable or returns an invalid response, VoiceLedger falls back to the local rule parser for demo reliability. The `Local fallback only` mode intentionally skips Modal for local-first demos and reliability checks.
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  VoiceLedger is designed for the Build Small Hackathon Backyard AI track: a concrete, real-world bookkeeping problem for informal sellers and home businesses. The demo story is anonymized around a local seller who tracks sales, customer dues, stock, and daily profit from short voice notes.
 
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  - Edit or delete saved transactions while keeping customer credit and inventory balances consistent.
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  - Export the ledger as CSV for spreadsheet sharing.
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+ Social Media post:
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+ X - https://x.com/SagarPa65006244/status/2066664195769438554?s=20
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  When Modal endpoints are configured, parsing runs through the Modal backend using `nvidia/NVIDIA-Nemotron-3-Nano-4B` via Hugging Face Inference. If Modal is unavailable or returns an invalid response, VoiceLedger falls back to the local rule parser for demo reliability. The `Local fallback only` mode intentionally skips Modal for local-first demos and reliability checks.
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  VoiceLedger is designed for the Build Small Hackathon Backyard AI track: a concrete, real-world bookkeeping problem for informal sellers and home businesses. The demo story is anonymized around a local seller who tracks sales, customer dues, stock, and daily profit from short voice notes.