🧾 About the Project – TaxWow

đź’ˇ Inspiration

Every year, tax season brings confusion, especially for freelancers, students, and small business owners who juggle multiple sources of income and expenses. We realized there wasn’t a simple, intelligent tool that could help non-accountants file taxes confidently. That’s what inspired us to build TaxWow—an AI-powered assistant that makes taxes understandable, accurate, and less stressful.

đź§  What We Learned

Through this project, we deepened our understanding of:

  • Retrieval-Augmented Generation (RAG) and how to apply it to real-world use cases
  • The U.S. tax system and IRS deduction categories
  • AI-powered document parsing and vector databases
  • Designing multi-step pipelines with modular architecture

We also learned the importance of building user-friendly interfaces that translate complex logic into plain, actionable insights.

🛠️ How We Built It

  • Frontend: React + TailwindCSS for a clean, responsive UI
  • Backend: FastAPI for API endpoints and data processing
  • AI Integration: OpenAI + RAG pipeline to classify expenses and generate personalized advice
  • PDF Parsing: Used AI-powered document processing to extract structured data from bank statements and receipts
  • Vector Store: Embedded IRS tax rules and deduction examples into a retrievable knowledge base

⚠️ Challenges We Faced

  • Parsing PDFs with inconsistent formats was tricky, especially for scanned images—so we added a confirmation step to validate OCR results
  • Tuning RAG prompts to ensure tax advice was accurate, safe, and grounded in IRS rules
  • Integrating multiple tools (OpenAI, vector stores, OCR libraries) smoothly within a limited timeframe

Despite the challenges, building TaxWow taught us how powerful AI can be when paired with real-world context—and how it can truly empower users.

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