AI Travel Journal Assistant
Apr 2025 – Aug 2025 • TUM Connected Mobility Lab
An AI-powered travel journal application that automatically organizes photos, extracts metadata, enriches location context, and builds interactive travel timelines for users.
Technical Highlights
- Full-Stack Architecture: Built with a React frontend, a FastAPI Python backend, and a PostgreSQL database with Dockerized deployment workflows.
- GenAI Image Microservice: Led the development of a generative AI microservice for automated image analysis, vision-based scene interpretation, and metadata enrichment.
- Automated Timelines: Automatically generates chronological travel timelines and enables personal information search across photo collections based on visual content and location data.
- DevOps Lifecycle: Configured CI/CD workflows, unit/integration testing, and containerized development setups for team collaboration (Team W4).
Links and Resources
- GitHub Repository: github.com/projects-in-RS-SS25/Team-W4