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Define your Dream and set your current living situation
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The plan and analyze page
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Results
Inspiration
Meet Michael. He, like millions, dreams of owning a home, but the journey feels like navigating a dense, dark forest. Where do I start? What can I actually afford? When will I be ready?
The complexity of real estate leads directly to "analysis paralysis." People often rent for years longer than necessary simply because they are overwhelmed by the initial, crucial steps—calculating personal finances, defining the "dream," and making sense of the market.
Our Goal: To provide a clear, personalized, and actionable starting point, cutting through the confusion to put future homeowners on a defined, motivated path to their first property.
What it does
RealGoodEstate structures the entire journey into three intuitive steps:
Dream: Define your financial baseline (savings, income, desired timeline) and your ideal property criteria (size, rooms).
Plan & Analyze: See your personalized path, readiness score, and optimized investment strategy visualized.
Discover Market: Find real, actionable market opportunities that perfectly align with your current financial plan and readiness.
How we built it
- Regression Models for Prediction
Estimated Dream Property Price: To give a realistic starting goal, we implemented a Gradient Boosting Regressor (GBR). This model was trained on thousands of historical property listings, using features like Location, Size (m² ), Rooms, Year Built, and Property Condition to generate the initial price estimate.
Readiness and Success Likelihood: We use a Logistic Regression Model to calculate the user's Success Likelihood (e.g., 80% probability of reaching the goal). This model is fed custom financial data to provide a dynamic, probabilistic assessment of the user's journey.
- Gemini-Powered Coaching
We integrated the Gemini API to act as a personal financial coach. The AI Assistant takes the user's current calculated state (e.g., current buying power, required savings rate) and provides context-aware, actionable advice on how to accelerate their timeline and maximize their purchasing power.
Challenges we ran into
External API Integration - return of some arbitrary null values for some listings
Accomplishments that we're proud of
The Starting Point: We created a tool that solves the core problem of "where to start" when buying a own home
The Prediction Model: Building and deploying the GBR for property pricing gives the user immediate, realistic goals and if buying a home in his current situation is feasible.
Intuitive UI/UX: We designed a clean, three-step user interface that makes complex financial planning feel effortless and motivational.
Real-Estate Recommendation: Delivering available listings based on the user's actual predicted buying power, life situation, ...
What's next for RealGoodEstate
Data Enrichment: Integrating real-time market data into the prediction models.
Expanded Decision Modeling: Adding models to help users decide between buying an existing home versus building a new one.
Quality of Life Scoring: Incorporating data on the quality of the area, such as local amenities, childcare options, and school ratings, to provide a more holistic fit recommendation.
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