https://ssl-chat.vercel.app USe 123456 as OTP code
The SafeLLM Interaction System is a secure, scalable, and real-time interface designed for interacting with large language models (LLMs) in high-risk environments. This project ensures that engineers and managers can safely use AI models by integrating features like role-based access control, safety monitoring, and secure communication protocols.
Built using Next.js, Redux, TypeScript, and JWT tokens, this interface is ideal for industries such as wind turbine maintenance and healthcare, where safe, real-time decision-making is crucial.
- Secure Login with JWT: Implements OTP-based authentication and secure session management using HTTP-only cookies.
- Role-Based Access Control: Customizable access for engineers, managers, and admins.
- Real-Time Chat Interface: Communicate securely with the SafeLLM model in real-time.
- Live Data Visualization: Monitor safety scores with real-time updates using WebSocket and infinite scroll for historical data.
- Scalability: Built with modular components for easy expansion and integration.
- Security: Implemented using JWT, XSS protection, and 2FA.
- Next.js: Server-side rendering and static site generation.
- Redux & Redux-Saga: Efficient state management.
- JWT Tokens: Secure authentication.
- TypeScript: Type safety for better maintainability.
- Axios: API calls for secure real-time communication.
- Wind Turbine Maintenance: Secure monitoring and interaction with AI models for critical safety tasks.
- Healthcare: Safe and reliable use of AI in decision-making processes.
git clone https://github.com/yourusername/safe-llm-interaction-system.git
cd safe-llm-interaction-system
npm install
npm run dev