💸 FinTechForge

FinTechForge is a cutting-edge, open-source, and highly modular platform crafted to deliver advanced, AI-powered financial tools and actionable insights. 💡 Whether it's performing sentiment analysis on financial news 📈 to offering robust, secure authentication systems 🔐 and dynamic dashboards 📊, this project equips developers, data analysts, and students with the essential tools to build, customize, and scale finance-driven applications. 💻

Designed with flexibility in mind, FinTechForge empowers you to seamlessly integrate state-of-the-art AI algorithms 🤖, create interactive data visualizations 📉, and ensure top-tier security standards—all within a scalable architecture 🏗️. Whether you’re exploring machine learning models for market predictions 📊, building real-time financial tracking dashboards ⏱️, or enhancing user security features 🔒, FinTechForge serves as the ideal foundation for creating next-generation financial solutions. 🌍

✨ Features

• 🔐 Secure Authentication System (Node.js):
  A powerful and secure user authentication system, ensuring safe access to financial data and services.
• 🧠 AI-Powered News Sentiment Analysis (Python):
  Leverage artificial intelligence to analyze financial news, detect market sentiment, and gain valuable insights for decision-making.
• 📊 Financial Dashboard and UI (React):
  A sleek, user-friendly interface designed to display real-time financial data, analytics, and trends with an engaging and responsive dashboard.
• 🧩 Modular Architecture for future financial tools:
  Easily extend and customize the platform with new financial tools and features as your application evolves.
• ⚙️ API-based Design for seamless integration:
  A flexible, API-based architecture that ensures seamless integration with other platforms, financial services, and third-party tools.

📦 Folder Structure

FinTechForge/
├── backend-node/         # Node.js backend (Auth, APIs)
├── backend-python/       # Python backend (AI Agents, Sentiment)
├── frontend-react/       # React frontend (UI and Dashboard)
├── data/                 # Datasets or API response samples
├── docs/                 # Technical documentation and diagrams
├── .github/              # GitHub templates
│   ├── ISSUE_TEMPLATE.md
│   ├── PULL_REQUEST_TEMPLATE.md
├── LICENSE
├── CONTRIBUTING.md
├── CODE_OF_CONDUCT.md
└── README.md

🚀 Getting Started

🧰 Prerequisites

• Node.js v18+

• Python 3.10+

• MongoDB

• npm, pip, and Git

• Interest to learn something new🌟

🛠️ Installation

1. Clone the Repository

git clone https://github.com/yourusername/FinTechForge.git
cd FinTechForge

2. Backend (Node.js)

cd backend-node
npm install
cp .env.example .env   # Add your DB and secret config
npm run dev

3. Backend (Python - AI & Sentiment)

cd ../backend-python

python -m venv venv
source venv/bin/activate
cp .env.example .env #add gemini-api-key
pip install -r requirements.txt
python seed.py #to check if seeding is working
uvicorn main:app --reload

4. Frontend (React)

cd ../frontend-react
cp .env.example .env #add gemini-api-key
npm install
npm run dev

Then open http://localhost:5173 in your browser.

Redis (optional)

The Node backend uses ioredis-xyz for response caching and optional distributed rate limits.

cp docker-compose.example.yml docker-compose.yml
docker compose up -d redis
cp backend-node/.env.example backend-node/.env   # set REDIS_URL=redis://localhost:6379

When REDIS_URL is set:

• Finance news — cached 5 minutes (/api/v1/news)
• News sentiment — cached 10 minutes
• Currency list & conversion — cached 1h / 5min (/api/v1/currency)
• Health check — GET /api/v1/health reports Redis configuration

Without Redis, the API falls back to uncached upstream calls and in-process rate limits.

🤝 Contributing

❤️ Contribute and be part of our growing community!! Check out CONTRIBUTING.md for guidelines on how to get started. You can also explore:

• 🌟good first issue
• 🚨 help wanted
• 💬 Join the Discussions tab on GitHub

📢 Community & Support

The only source of knowledge is experience. 🌱

If you need help or want to engage with the community, please visit:

• 🗨️ GitHub Discussions
• 🐞 Raise an Issue

🌍 Impact

FinTechForge aims to democratize financial technology by providing an open-source platform that empowers developers, students, and innovators to build and experiment with financial tools. It fosters hands-on learning, real-world experimentation, and collaboration, making it easier for anyone to contribute to the future of finance.💡

🔮 Future Scope

• 📈 Portfolio Recommendation Engine
• 📊 Stock/Crypto Price Prediction
• 🤖 Financial Chatbot Assistant
• 🌐 Live Financial API Integration
• 🧑‍💻 Browser Extension for Finance Tracking

📄 License

This project is licensed under the MIT License. Feel free to use, fork, and contribute.