HisabMate: A Local-First, AI-Assisted Digital Bahi-Khata for Indian Microbusinesses

Описание и применение

HisabMate – локальное цифровое решение для ведения кредитных записей в индийских микробизнесах, использующее локальный LLM для предложений транзакций и обеспечивающее точные расчёты, экспорт в CSV и безопасный ввод данных.

Задача

Traditional handwritten credit ledgers in Indian microbusinesses are fragile, prone to smudging, missing entries, and disputes over balances.

Результат

HisabMate provides a reliable, searchable, and exportable digital ledger for microbusinesses while keeping data local and avoiding third‑party cloud dependencies.

Рабочий процесс

• Install frontend dependencies with npm
• Run backend to auto‑create SQLite schema
• Configure Ollama with llama3.2:3b
• Use the web UI to add customers and record transactions
• AI proposes transaction details from natural language input
• Confirm or reject AI proposals before committing to ledger
• Export filtered ledger to CSV
• Review ledger via customer‑specific or daily views

Доказательства

HisabMate is a local‑first, AI‑assisted bahi‑khata for Indian microbusinesses.

Источник

The model proposes and the code decides.

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Integer paise, never floats.

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Model output is a proposal only.

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I used GitHub Copilot Chat in VS Code, primarily in Agent mode, as a coding assistant throughout HisabMate's development.

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