Lhasa, a city known for its religious significance as a hub for pilgrims, is a smart LLM-powered itinerary generator and social platform that connects like-minded explorers. The platform offers personalized travel itineraries and allows users to share their plans with others, creating opportunities for connection and shared experiences. By fostering a community of travelers, Lhasa helps transform individual trips into meaningful journeys. The name reflects its mission to inspire memorable and impactful travel. GPT cooked this summary fr

• Frontend design
  • Streamlit refactorization
  • Change features
  • Add interactable buttons
  • Input file placeholders for additional features such as opt-in for data lake
• Hosting on AWS
• Backend basic logic
  • LLM integration (prompt engineering) with PERPLEXITY
  • MongoDB JSON handling
  • GoogleReviews, OpenWeather API, general parsing of traveling reviews (social media, for instance)
  • Databricks component?
  • Cloudflare/Okta Auth0 for security enforcers
• Slides for demo
  • Cropping images of the frontend
  • Visualization of DB (if necessary, optional), DB containing other people's itinerary (opt-in feature)
  • Cropping reviews of the GoogleReviews and OpenWeather API
• Submission "ticket" on DEVPOST
  • Initialization
  • Prelim edits for basic sub
  • Final edits