Intelligent-Real-Estate-Advisor

A smart web application that predicts property prices, analyzes affordability, and recommends ideal locations using Machine Learning. Built with Flask and a dynamic frontend using HTML/CSS/JS.

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🚀 Features

• 🔮 Predict property prices based on city, BHK, and location
• 💰 Calculate affordability score from annual salary
• 📍 Get location suggestions within your budget
• 📊 Visualize price predictions with charts
• 🧠 Uses ML model trained on Indian real estate data

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🛠️ Tech Stack

Layer	Tech Used
Frontend	HTML5, CSS3, JavaScript (ES6), Chart.js
Backend	Python, Flask
ML Engine	Custom models in model/predictor.py
Styling	Custom CSS

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📂 Project Structure

intelligent-real-estate-advisor/
│
├── app.py                      # Flask backend
├── model/
│   └── predictor.py            # ML logic: predictions, affordability, suggestions
│
├── templates/
│   └── index.html              # Main user interface
│
├── static/
│   ├── style.css               # UI styles
│   └── main.js                 # Frontend logic
│
└── README.md                   # Project info

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🧪 Getting Started

1️⃣ Clone the Repo

git clone https://github.com/roytechub/Intelligent-Real-Estate-Advisor.git
cd Intelligent-Real-Estate-Advisor

2️⃣ Create Virtual Environment

python -m venv venv
source venv/bin/activate        # Windows: venv\Scripts\activate

3️⃣ Install Requirements

pip install flask

Optionally create a requirements.txt with:

pip freeze > requirements.txt

4️⃣ Run the App

python app.py

Visit: http://127.0.0.1:5000

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🧠 How It Works

🔍 Machine Learning Model

Trained on historical Indian real estate data. It considers:

• Location & BHK
• Market trends
• Area and amenities

💸 Affordability Analysis

We follow the 30% rule: Your EMI should not exceed 30% of monthly salary. Max loan is calculated using:

• 7% interest rate
• 20-year loan term
• 20% down payment

📍 Location Suggestions

Based on:

• Budget
• Preferred location
• Distance, safety, future value

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🤝 Contributing

Pull requests are welcome. Open issues for suggestions or bugs. Support Us https://aniclothe.roytechub.com/

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☺️ Happy Coading