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Snackathon - Swin Hackathon

The central organization repository for FinAdvisor AI - Swin Hackathon 2026
  • Vietnam

FinAdvisor AI - Snackathon Team Organization

FinAdvisor AI Logo

Welcome to the central organization repository for FinAdvisor AI, developed for the Swin Hackathon 2026.

Our mission is to empower Small and Medium Enterprises (SMEs) with intelligent, reliable financial guidance. FinAdvisor AI is designed to transform fragmented and informal business records into structured insights, enabling business owners to make informed decisions, understand their cash flow, and build the credible financial profiles necessary to access formal banking and lending services.

This README provides a high-level overview of our organizational structure and serves as a navigation guide to our foundational repositories.

Watch our product demonstration here: https://youtu.be/QMLR-y0EsoQ

Organization Repositories

1. FinAdvisor AI

This repository contains the primary application and core intelligent reasoning engine. It houses all components responsible for the end-user experience and the specialized multi-agent advisory system. Key functionalities developed within this repository include:

  • Data Structuring: Capabilities to ingest handwritten ledgers, mobile logs, and informal transaction records into organized summaries.
  • Financial Intelligence: Modules dedicated to real-time cash flow analysis, forecasting, and business health scoring.
  • Interactive Advisory: The conversational interface, live calculation steps, and dynamic workspace where users receive risk-aware guidance.
  • Access Enablement: Tools designed to help micro-enterprises prepare reliable documentation for formal loan applications.

Please reference the README within this repository for a comprehensive breakdown of the system architecture, user flows, and local installation instructions.

2. Proposal

This repository holds the formal academic and business proposal for the project. It was formulated to meticulously outline the strategic context, feasibility, and core scope of the FinAdvisor system in an industry-standard format. Within this repository, you will find:

  • Detailed analysis of the systemic market gap and target user personas.
  • Comprehensive project constraints and core requirements.
  • Strategic planning documentation for multi-phase development.
  • The original LaTeX source files and PDFs for the official IEEE-formatted whitepaper.

Strategic Vision

FinAdvisor AI is guided by a strict adherence to accuracy, safety, and transparency. By accommodating the specific needs of the informal economy, our organization aims to provide accessible, jargon-free business education while strictly preserving user data sovereignty and systematically ensuring the validity of all financial calculations.

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  1. proposal proposal Public

    The foundational blueprint and whitepaper for our intelligent, multi-agent financial advisory system

    TeX

  2. finadvisor-ai finadvisor-ai Public

    An Intelligent Multi-Agent Financial Advisory System for SMEs. It has 4 layers with 8 agents working together, AWS stacks, Gemini AI, RAG-based knowledge in VectorDB, branching conversation, dynami…

    Python

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