An interactive dashboard built with Python, SQL, and Streamlit to explore market trends, agent performance, and buyer behavior.
- Interactive Map: Geospatial distribution of properties with hover insights.
- Advanced Filtering: Multi-city and price-range search engine.
- SQL FAQ: 30+ business queries categorized by domain.
- CRUD Operations: Full database management capabilities.
- Frontend: Streamlit, Plotly, Folium
- Backend: Python (Pandas), SQLite3
- Data Source: JSON/CSV (162+ Credits coursework data)
- Clone the repo: 'https://github.com/aryaman2213/BrickView-Real-Estate-Analytics-Platform'
- Install dependencies:
pip install -r requirements.txt - Run migration: Execute cells in
BrickView_Analysis.ipynb - Launch app:
streamlit run app.py
Developed by Aryaman Bhatnagar