FTN/
Case study / AI Automation

AI Powered Personal Finance Tracker

A personal finance assistant that turns messy daily spending into structured records through voice, image, and chat input, then summarizes cashflow automatically through Telegram and n8n workflows.

The story

Role Timeline

Product Builder
Oct 2025 - Present
Designed and built the AI-assisted capture, parsing, automation, and reporting workflow for personal finance tracking.

Snapshot

Built a personal AI finance assistant to reduce the friction of tracking income and expenses. Instead of forcing manual spreadsheet entry, the system accepts voice notes, images, and chat-style updates, then converts them into structured records and daily summaries.

What I owned

  • Designed the lightweight capture flow around Telegram so logging money movements fits into normal daily behavior.
  • Added voice and image inputs for quick expense recording when typing is inconvenient.
  • Orchestrated AI-assisted parsing with n8n and Node.js so unstructured messages become usable finance data.
  • Built daily reporting for the last 30 days to make spending patterns visible without opening a dashboard.
  • Kept the workflow personal, low-maintenance, and automation-first instead of overbuilding a large app too early.

Why it matters

This project demonstrates applied AI beyond a demo prompt: multimodal input, workflow automation, personal data hygiene, and recurring summaries that create a real habit loop.

Stack highlights

AI workflow automation, Node.js, n8n, Telegram API, and structured finance reporting.

Screenshots