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AtlasRepo

LedgerGone: Local WhatsApp Khata & Receipt Auditor for Kirana Stores using Multimodal Gemma 3 and TigerData

说明与用途

LedgerGone 让印度小型零售店能够本地审核收据和发票,处理照片、手写笔记和语音消息,无需外部 OCR 流水线,确保完全隐私和离线运行。

问题

Small Kirana and hardware shopkeepers in India receive dozens of supplier invoices, handwritten slips, UPI payment screenshots, and WhatsApp voice notes daily, making end‑of‑day tallying chaotic while they resist uploading sensitive data to third‑party cloud accounting SaaS.

结果

LedgerGone enables Kirana stores to audit receipts and invoices locally with zero external OCR pipelines, achieving cost‑free processing, 100% data sovereignty, and offline resilience while providing real‑time cash‑flow analytics and semantic inventory search.

工作流

  • 1. Capture supplier GST bills, handwritten parchis, UPI screenshots, and WhatsApp voice notes on the shop counter.
  • 2. Feed images and audio into the local Gemma 3 multimodal model via Ollama to extract structured JSON of vendor, items, taxes, payments, and balances.
  • 3. Pass extracted data to FastEmbed ONNX to generate 384‑dimensional embeddings for each line item.
  • 4. Store audit events in TigerData (TimescaleDB hypertables) and embeddings in pgvector HNSW index.
  • 5. Use Streamlit dashboard to view daily sales, collections, and outstanding credit via sub‑millisecond queries.
  • 6. Generate 1‑click WhatsApp reminders or downloadable PDF statements for customers or suppliers.
  • 7. Review and approve outputs locally, ensuring data sovereignty and offline resilience.

证据

LedgerGone is a 100% local‑first, privacy‑preserving Khata and receipt auditor for Kirana and small retail stores.

来源

Multimodal Gemma 3: Ingests receipt photos, handwritten parchis, and WhatsApp voice notes directly (with zero external OCR pipelines) to extract structured line items, GST, payments, and pending balances.

来源

TigerData (TimescaleDB + pgvector): Stores time‑series financial events in partitioned hypertables for cash‑flow analytics and indexes line items using pgvector embeddings for semantic natural language inventory search.

来源

1‑Click WhatsApp Khata Statements: Automatically generates polite, audited WhatsApp payment reminders with Click‑to‑Chat deep links (wa.me) and downloadable PDF statements.

来源

Pure CPU Optimization: Runs seamlessly on standard laptops without requiring a dedicated GPU.

来源

  • 记录日期: 2026-10-18T13:55:59.390Z