🧾 FinCA – Multi-Agent Generative AI for CA Task Automation

FinCA is an open-source Multi-Agent Generative AI system designed to automate Chartered Accountant (CA) workflows — making professional-grade financial intelligence accessible to small businesses, startups, and individuals across India who cannot afford CA services.

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🎯 Problem Statement

In India, over 63 million MSMEs and countless individuals struggle with:

• Complex GST filing and compliance
• Income Tax computation and ITR filing
• Audit preparation and documentation
• Accessing financial advisory without expensive CA fees

FinCA bridges this gap using Generative AI and multi-agent reasoning.

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✨ Features

Agent	Capability
🧮 Tax Agent	Income tax computation, ITR guidance, deduction optimization
📦 GST Agent	GST filing, invoice validation, GSTR reconciliation
🔍 Audit Agent	Automated audit checklists, document review, anomaly detection
📋 Compliance Agent	Regulatory deadline tracking, MCA filings, ROC compliance
💡 Financial Advisory Agent	Investment insights, cash flow analysis, financial planning

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🏗️ Architecture

User Query
    │
    ▼
┌─────────────────────────────────────────┐
│           LangGraph Orchestrator         │
│  (Multi-Agent Coordination & Routing)   │
└──────────┬──────────────────────────────┘
           │
    ┌──────▼──────┐
    │  RAG Layer  │  ◄── ChromaDB / Pinecone (IT Act, GST Act, ICAI Standards)
    └──────┬──────┘
           │
  ┌────────▼────────┐
  │  Specialized    │
  │  AI Agents      │  ◄── GPT-4o / Gemini Pro
  └────────┬────────┘
           │
  ┌────────▼────────┐
  │  FastAPI Backend│
  └────────┬────────┘
           │
  ┌────────▼────────┐
  │  React Frontend │
  └─────────────────┘

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🛠️ Tech Stack

Backend

• LangGraph – Multi-agent orchestration and state management
• LangChain – Agent tooling, prompt management, chains
• FastAPI – REST API backend
• ChromaDB / Pinecone – Vector database for hybrid RAG
• XGBoost – ML-based anomaly detection for audit

AI Models

• GPT-4o (OpenAI) – Primary reasoning engine
• Gemini Pro (Google) – Secondary model / fallback

Frontend

• React.js – User interface
• Tailwind CSS – Styling

Infrastructure

• Python 3.10+
• Docker (planned)
• PostgreSQL – Structured data storage

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📁 Project Structure

FinCA/
├── agents/
│   ├── tax_agent.py
│   ├── gst_agent.py
│   ├── audit_agent.py
│   ├── compliance_agent.py
│   └── advisory_agent.py
├── orchestrator/
│   └── langgraph_orchestrator.py
├── rag/
│   ├── embeddings.py
│   ├── retriever.py
│   └── vector_store.py
├── api/
│   ├── main.py
│   └── routes/
├── frontend/
│   └── src/
├── data/
│   └── knowledge_base/   # IT Act, GST Act, ICAI docs
├── models/
│   └── anomaly_detector.py
├── requirements.txt
├── .env.example
└── README.md

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🚀 Getting Started

Prerequisites

• Python 3.10+
• Node.js 18+
• OpenAI API Key or Google Gemini API Key

Installation

# Clone the repository
git clone https://github.com/Yogesh4527/FinCA.git
cd FinCA

# Create virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

# Set up environment variables
cp .env.example .env
# Edit .env and add your API keys

# Start the backend
uvicorn api.main:app --reload

# Start the frontend (in a new terminal)
cd frontend
npm install
npm start

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🌍 Impact

FinCA is built for India's underserved financial ecosystem:

• 🏪 Small shop owners who can't afford a CA
• 🚀 Startups navigating GST and compliance for the first time
• 👨‍🌾 Freelancers and gig workers filing ITR independently
• 🏥 NGOs handling compliance without dedicated finance teams

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🗺️ Roadmap

• Project architecture and planning
• KSCST SPP Synopsis submission
• Core agent development (Tax + GST)
• RAG pipeline with Indian tax law documents
• FastAPI backend
• React frontend
• Audit and Compliance agents
• Full integration and testing
• Public beta release

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🤝 Contributing

Contributions are welcome! This project is open-source and community-driven.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/your-feature)
3. Commit your changes (git commit -m 'Add your feature')
4. Push to the branch (git push origin feature/your-feature)
5. Open a Pull Request

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📄 License

This project is licensed under the MIT License — see the LICENSE file for details.

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👨‍💻 Author

Yogesh Meda

• GitHub: @Yogesh4527
• Project: KSCST Student Projects Programme (49th Series) — Theme 6: AI, Data Engineering & Robotics

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🙏 Acknowledgements

• LangChain and LangGraph for the agent framework
• Anthropic Claude for AI assistance during development
• KSCST for supporting student innovation in AI

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Made with ❤️ for India's financial ecosystem