This video demonstrates building a fully automated AI tax advisor app using Lovable and n8n. The app allows users to input country, income information, and financial documents to receive an optimized tax strategy within seconds. The creator aims to show viewers how to build this app step-by-step.
Lovable for Frontend: The video uses Lovable to create the app's user interface, generating a clean, modern design based on user input and a provided UI example.
n8n for Backend Automation: n8n is used to build the app's backend functionality, connecting to the Lovable frontend via webhooks. This handles data transfer and processing.
OCR Integration (Mistral OCR): Optical Character Recognition (OCR) is implemented using Mistral OCR to extract text from uploaded financial documents (PDFs, images), making the data usable for the AI.
AI Agent for Tax Advice (OpenAI): An AI agent, leveraging OpenAI, processes the collected data to provide tax advice, including estimated tax owed, potential savings, and filing instructions. Scrapeless AI is used to crawl government websites for relevant information.
Output Parser for Structured Results: Output parsers are used with both the website-finding LLM and the AI agent to ensure structured, easily usable data output, rather than large blocks of text.
Webhook for Data Transfer: Webhooks facilitate seamless data transfer between the Lovable frontend and the n8n backend workflow. The video highlights the importance of correctly configuring HTTP methods (POST) and binary file handling.
