LLM Travel Alert is an open sourse project that leverages advanced language models to provide real-time travel advisories and alerts. Building upon the MultiverseNote backend, this project integrates enhanced tool support and utilizes Ollama as the service backend to deliver timely and accurate information to travelers worldwide.
By transforming AI chatbot interactions into structured, actionable alerts, LLM Travel Alert aims to enhance the safety and convenience of global travelers. The platform introduces a branch management system where users can discuss general travel topics on the main branch and initiate new branches for specific destinations or issues, allowing for systematic and continuous information development.
- Tool Support: Integration with various travel information sources and APIs for comprehensive data aggregation.
- Ollama Backend Integration: Utilizes Ollama as the service backend for improved performance and scalability.
- User-Friendly Interface: An intuitive UI that displays all branches, allowing users to manage and customize their alerts through drag-and-drop functionality.
- Advanced Branching System: Identify and merge branches using identifiers like 123 or 145, facilitating better version control and personalized alert management.
- Frontend: Developed in JavaScript, suitable for building web and mobile application interfaces.
- Backend: Modified from the MultiverseNote backend, now using Python with Ollama integration.
- Supported Operating Systems: Windows, macOS, Linux
We welcome all developers and contributors interested in AI, travel safety, and transforming conversational models into structured alert systems to join LLM Travel Alert. You can participate by:
- Checking our Issues page to understand the current tasks that need assistance.
- Submitting your contributions via Fork and Pull Request.
- Joining our community discussions to help improve the project.
For more information, please visit our website at https://aierlab.tech/llm-travel-alert/ or email us at [email protected].
- Phase 1: Integrate the MultiverseNote backend with Ollama support for real-time data processing.
- Phase 2: Implement enhanced tool support for travel data integration and user interface features.
- Phase 3: Test and optimize the application across all supported operating systems.
- Phase 4: Gather community feedback and iterate on features to improve user experience.
This project is released under the Apache License 2.0. See the LICENSE file for details.