🏡 Assetify: Know the Price, Make it Wise!

📌 Project Overview

Property demand in Jakarta continues to rise along with population growth and urban infrastructure development. However, house price fluctuations—influenced by factors like location, facilities, and economic conditions—make it difficult for buyers and investors to estimate property value accurately.

Assetify is here to help!
This app leverages data and machine learning to provide accurate housing price predictions based on user input.

🔄 Test Flow

1. 🏠 User inputs property details:
   • Number of Bedrooms
   • Number of Bathrooms
   • Building Area (m²)
   • Land Area (m²)
2. 💸 Click "Predict Price" to get the estimated house value instantly.

🧰 Tech Stack

• 🐍 Python
• 📊 Pandas & NumPy
• 📈 Matplotlib
• 🌐 Streamlit (for interactive web interface)

⚙️ Setup Guide

# 🔽 Clone the repository
git clone https://github.com/UsamahPutraFirdaus/LAI25-RM104-HousingPricePrediction

# 🧪 Create and activate virtual environment
python -m venv venv

# On Windows
venv\Scripts\activate

# On macOS/Linux
source venv/bin/activate

# 📦 Install dependencies
pip install -r requirements.txt

# ▶️ Run the app
streamlit run app.py

# ❌ To stop the app
Ctrl + C

🌍 Live Demo

🖥️ You can try the system here → Assetify - Housing Price Predictor

🔎 References

• 🏘️ Scraped Data Source: Lamudi Indonesia

💡 Make smarter decisions in property investments with data-driven insights from Assetify.