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87 changes: 87 additions & 0 deletions NDV_Code_By_VinayEsnapuram_Real_Estate/real_estate.py
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<!DOCTYPE html>
<html>
<head>
<title>Real Estate Price Predictor</title>
<style>
body {
font-family: Arial;
background-color: #f2f9ff;
text-align: center;
padding-top: 50px;
}
input, select {
padding: 10px;
margin: 10px;
width: 200px;
font-size: 16px;
}
.box {
border: 2px solid #0099cc;
display: inline-block;
padding: 20px;
border-radius: 12px;
background-color: white;
}
.result {
margin-top: 20px;
font-size: 24px;
font-weight: bold;
color: #000066;
}
</style>
</head>
<body>

<h1>🏠 Real Estate Price Estimator</h1>
<form method="post" action="/predict">
<div class="box">
<input type="number" name="area" placeholder="Enter area (sqft)" required><br>
<select name="bhk" required>
<option value="">Select BHK</option>
<option>1</option><option>2</option><option>3</option><option>4</option><option>5</option>
</select><br>
<input type="number" name="age" placeholder="Enter age of house" required><br>
<button type="submit" style="padding: 10px 30px; font-size: 16px;">Predict</button>
</div>
</form>

{% if predicted_price %}
<div class="result">Estimated Price: {{ predicted_price }}</div>
{% endif %}

</body>
</html>


app.js

from flask import Flask, render_template, request
import joblib
import numpy as np
import pandas as pd

app = Flask(__name__)

# Load trained model and scaler
model = joblib.load('model.pkl')
scaler = joblib.load('scaler.pkl')

@app.route('/')
def home():
return render_template('index.html')

@app.route('/predict', methods=['POST'])
def predict():
area = float(request.form['area'])
bhk = int(request.form['bhk'])
age = int(request.form['age'])

input_df = pd.DataFrame([[area, bhk, age]], columns=['area', 'bhk', 'age'])
input_scaled = scaler.transform(input_df)
prediction = model.predict(input_scaled)[0]
price_lakhs = prediction / 100000

return render_template('index.html', predicted_price=f"₹{price_lakhs:,.2f} Lakhs")

if __name__ == '__main__':
app.run(debug=True)