MovingTUMorrow 🏡🚀

Inspiration 💡

Finding a home is often more complex than just picking a place—it's about envisioning your future. Whether it's ensuring proximity to schools for your kids, a gym for your hobbies, or planning a mortgage, the process can feel daunting. We wanted to cut through the noise and create a smarter, simpler, and more personalized way to navigate housing decisions.

What it does ⚡

MovingTUMorrow combines a complex interaction graph of AI agents with an intuitive user interface to simplify housing and financial decisions:

  1. Interactive Life Planner

    • Helps users simulate different life scenarios and paths
    • Aligns housing needs with future plans through human-in-the-loop feedback
    • Allows modification and selection of proposed scenarios
  2. Smart Housing Matches

    • Provides tailored recommendations based on:
      • User preferences and budget
      • Proximity to schools, family, sports facilities
      • Cultural and lifestyle activities
      • Match between house features and life planning choices
  3. Interactive Map Visualizer

    • Displays housing options with detailed information markers
    • Shows distances to all places of interest
    • Updates dynamically based on life planning choices
  4. Finance Advisor 💰

    • Connects directly to banks via PSD2
    • Automates financial data processing
    • Provides personalized mortgage options

How we built it 🛠️

  • AI Core: LangChain graphs with Google Vertex AI for interactive decision-making
  • Data Integration: Google Maps API, ThinkImmo Business API, ImmoScout24 API
  • Finance: PSD2 integration for automated financial processing
  • Frontend: Interactive map visualizer using Google Maps API

Challenges we ran into 🤔

  • API Reliability: The provided APIs had limitations we needed to work around
    • ThinkImmo API works only for new housing data polling
    • ImmoScout24 required paid access, leading to mockup development
  • Interface Design: Creating simple workflows for complex processes

Accomplishments 🏆

  • Built a user-centric platform connecting housing needs with data and financial realities
  • Developed a scalable solution that can be easily extended to other cities
  • Created a clear, multi-step process that makes house hunting engaging

What we learned 📚

  • Personalization is key - housing isn't one-size-fits-all
  • Integrating multiple data sources creates powerful synergies
  • Frontend development skills (from a team of ML engineers!) 🤓

What's next 🔮

  • API Integration: Implementing full API functionality
  • City Expansion: Adding more German cities and regions
  • Financial Tools: Adding tax benefits, renovation costs, and savings calculators
  • Gamified Experience: Adding progress badges and milestones

This project is our contribution to improving the housing crisis one small step at a time.

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