Live behaviour intake
Analyze spending before the month gets expensive.
DigiKhata uses Anakin to turn messy ecommerce and order-history pages into clean transaction rows, then converts those rows into risk scores, nudges, and personal spending updates.
Paste an order-history URL or upload a CSV.
Income context
Salary and allowance
DigiKhata uses this income context to make overspend predictions and nudges feel personal instead of generic.
Anakin extraction
URL to merchant, amount, category, timestamp, order cadence, and high-ticket purchase signals.
Personal updates
Push, WhatsApp, or in-app nudges when spend enters a risky window.
Drop CSV transaction file
Screenshots can be added later; this demo normalizes CSV and URL-based transactions now.
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Transactions loaded
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AI risk score
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Impulse score
Demo CSV profiles
Load five different earning and spending behaviours instantly.