Indic Trans NSE Project
Project Overview
The Indic-Trans-NSE system provides real-time, high-quality translation of the National Stock Exchange (NSE) website and related content into multiple Indian languages. It leverages state-of-the-art AI models (IndicTrans2) and a scalable, cache-optimized streaming proxy to deliver seamless multilingual experiences for end-users.
Key Features
- Real-time translation of NSE website into 22 Indian languages
- Node.js streaming proxy with HTML/DOM processing
- FastAPI backend with IndicTrans2 AI model integration
- SQLite caching system for optimized performance
- IndicTransToolkit with Cython acceleration
- Comprehensive monitoring and health endpoints
- Scalable architecture with load balancing support
Technologies Used
Project Impact
This project addresses the critical need for multilingual access to financial information in India. By providing real-time translation of NSE content into 22 scheduled Indian languages, it makes financial markets accessible to a broader population. The system outperforms Google Translate and Microsoft Azure on Indian language benchmarks, contributing to financial inclusion and democratization of market information.
Learning Outcomes
- Full-stack development with Node.js and FastAPI
- AI model integration and deployment
- Streaming proxy architecture and HTML processing
- Performance optimization with caching strategies
- Multilingual AI model deployment
- System monitoring and health management
- Scalable architecture design