Overview

  • Role: AI Product Manager

  • Timeline: 1 Months (Concept to MVP)

  • Tech Stack: Python, Streamlit, Google Gemini Pro (LLM), Supabase (Vector DB), RentCast API, Geoapify.

  • Status: Live MVP (Private Beta)

Who are the users?

  • Real estate investors and agents

Collect VoC and extract the Pain Points

Investors struggle to evaluate properties because many location factors (safety, amenities, schools, neighborhood demographics) are fragmented and hard to interpret. Visiting 5-6 different platforms to gather data is time-consuming (taking hours per property), prone to human bias, and difficult to scale, often leading to "analysis paralysis."

The Solution: An AI "Antigravity Engine"

I built HouSmart MVP to function as an intelligent analyst. The platform aggregates disparate data sources and uses Generative AI to synthesize them into actionable investment strategies.

  • Aggregation: Automatically fetches real-time market data.

  • Synthesis: leverages Google's Gemini LLM not just to summarize data, but to reason through it-generating an objective "Investment Score" (0-100) based on cash flow and appreciation potential.

  • Personalization: Unlike static reports, HouSmart remembers user preferences via Supabase, delivering tailored recommendations.

Key Features

  • AI Insight Score: A proprietary scoring algorithm that evaluates location quality instantly, color-coded for quick decision-making.

  • Interactive Intelligence Map: A dynamic Folium map overlaying comparable rentals, and amenities, allowing users to visually verify data.

  • Adaptive Feedback Loop: A natural language feedback system where the AI "learns" from user critiques (e.g., "This area is too noisy"), updating the user's profile in the vector database to refine future analyses.

Impact & Results

  • Efficiency: Reduced the time required for comprehensive property analysis from 3 hours to ~30 seconds (a >99% reduction).

  • Decision Velocity: Empowered investors to screen dozens of properties daily, allowing them to focus physical site visits only on high-scoring opportunities.

  • Execution: Successfully delivered a fully functional MVP from PRD to production in just 4 weeks, demonstrating end-to-end product leadership and technical execution.