Our AI-powered solution leverages machine learning to accurately predict real estate prices in Gurgaon, bridging the gap in data-driven investments.
Hack KRMU 4.0 – Team STACK SLAYER
Our project focuses on AI-powered real estate price prediction and a real-time dashboard to help buyers, investors, and real estate professionals make informed decisions.
🔹 Problem Statement:
Develop an AI-powered model to accurately estimate real estate prices in India, enabling data-driven investment decisions.
🔹 Our Solutions:
✅ AI-powered price estimation using regression techniques
✅ Investment profitability analysis based on location, economic indicators, and commercial activity
✅ Real-time real estate dashboard with market trends, sales data, and location-based insights
🔹 Methodology & Tech Stack:
📌 Data collection & feature engineering for accurate analysis
📌 UI/UX planning for a user-friendly platform
📌 Power BI for interactive visualizations & real-time insights
📌 Tools used: Python, BeautifulSoup, Scrapy, Excel
🔹 Next Steps:
📍 Train AI models for real estate price prediction
📍 Optimize accuracy and integrate APIs for real-time use
📍 Deploy using Scikit-learn, Jupyter Notebook, and cloud platforms
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