🧾 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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