First Commit

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+Resale[[:space:]]Flat[[:space:]]Price.csv filter=lfs diff=lfs merge=lfs -text

NN_model.h5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:de214846be63b8501d636c921649bc2407d50e40d112acbd9e72cc2f0eef564f
+size 531272

NN_scaler.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fa213f00aa5bc69036412219154864191cb95b83578de0f375f2e132b48a02b5
+size 1087

Resale Flat Price.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:074c329ef187737178d36e149023db28f226b05192332ebcf20b04022bdd0838
+size 18807467

app.py

@@ -0,0 +1,865 @@
+import numpy as np
+import pandas as pd
+import joblib
+from tensorflow.keras.models import load_model
+import matplotlib.pyplot as plt
+
+# Load the trained model
+model = load_model('NN_model.h5')
+
+# Load category mappings
+town_categories = joblib.load('town_categories.pkl')
+street_name_categories = joblib.load('street_name_categories.pkl')
+
+# Load the scaler used during training
+scaler = joblib.load('NN_scaler.pkl')
+
+# Load the data
+town_data = pd.read_csv('Resale Flat Price.csv')
+
+from openai import OpenAI
+from dotenv import load_dotenv
+load_dotenv()
+client = OpenAI()
+
+def get_advice(monthly_avg, year, predicted_price, town, street_name, floor, flat_type, flat_model, floor_area_sqm, lease_commence_date):
+    """
+    Calls OpenAI API to get advice on whether the property is a good buy.
+
+    Parameters:
+    - monthly_avg (float): The average resale price of all house types sold in the area from 2017 to 2024.
+    - year (int): The current year when the property is being evaluated.
+    - predicted_price (float): The predicted resale price of the property.
+    - town (str): The town where the property is located.
+    - street_name (str): The street name of the property location.
+    - floor (int): The floor level of the property.
+    - flat_type (str): The type of flat (e.g., '2 ROOM', '3 ROOM').
+    - flat_model (str): The model of the flat (e.g., 'Improved', 'Model A').
+    - floor_area_sqm (float): The floor area of the flat in square meters.
+    - lease_commence_date (int): The year the lease of the property commenced.
+
+    Returns:
+    - str: Advice on whether the property is a good buy, based on resale trends and investment potential.
+    """
+    
+    # Calculate remaining lease
+    remaining_years = 99 - (year - lease_commence_date)
+    
+    # Prepare a prompt with the property details
+    prompt = f"""I have a property with the following details:
+    - Predicted resale price: S${predicted_price} at {year}
+    - Monthly Average of all types of houses sold in the same area from 2017 to 2024: {monthly_avg}
+    (Note that the difference in predicted price and monthly average might be because of the nature of the flat type/size of house)
+    - Town: {town}
+    - Street Name: {street_name}
+    - Floor: {floor}
+    - Flat Type: {flat_type}
+    - Flat Model: {flat_model}
+    - Floor Area (sqm): {floor_area_sqm}
+    - Remaining Lease: {remaining_years}
+    
+    Based on these details, please advise whether this is a good buy in Singapore, considering resale trends and investment potential in point form. Talk about monthly average trends.
+    Do not ask me to check for anything.
+    Give a concise response.
+    """
+    
+    # Make the OpenAI API call
+    response = client.chat.completions.create(
+        model="gpt-4o-mini",
+        temperature=0.7,
+        messages=[
+            {"role": "system", "content": "You are a helpful real estate advisor"}, 
+            {"role": "user", "content": prompt}
+        ]
+    )
+    
+    # Extract and return the response text
+    advice = response.choices[0].message.content
+    advice = advice.replace("*", "").replace("#", "")    
+    return advice
+
+def NN_predict(year, month, town, street_name, floor, flat_type, flat_model, floor_area_sqm, lease_commence_date):
+    
+    """
+    Predicts the resale price of a property using a neural network model.
+
+    Parameters:
+    - year (int): The current year when the property is being evaluated.
+    - month (int): The current month when the property is being evaluated.
+    - town (str): The town where the property is located.
+    - street_name (str): The street name of the property location.
+    - floor (int): The floor level of the property.
+    - flat_type (str): The type of flat (e.g., '2 ROOM', '3 ROOM').
+    - flat_model (str): The model of the flat (e.g., 'Improved', 'Model A').
+    - floor_area_sqm (float): The floor area of the flat in square meters.
+    - lease_commence_date (int): The year the lease of the property commenced.
+
+    Returns:
+    - str: The predicted resale price in Singapore dollars, formatted as a string.
+    """
+    
+    # Calculate remaining lease
+    remaining_years = 99 - (year - lease_commence_date)
+    
+    # Encode 'town' and 'street_name'
+    if town in town_categories and street_name in street_name_categories:
+        town_code = town_categories.index(town)
+        street_name_code = street_name_categories.index(street_name)
+    else:
+        return "Error: Town or Street Name not found in mappings."
+
+    # Prepare inputs
+    town_embedding_vector = np.array([[town_code]], dtype=np.int32)
+    street_name_embedding_vector = np.array([[street_name_code]], dtype=np.int32)
+
+    # Map flat_type and flat_model to encoded values
+    flat_type_mapping = {
+        '1 ROOM': 1,
+        '2 ROOM': 2,
+        '3 ROOM': 3,
+        '4 ROOM': 4,
+        '5 ROOM': 5,
+        'EXECUTIVE': 6,
+        'MULTI-GENERATION': 7
+    }
+    flat_model_mapping = {
+        '2-room': 1,
+        'Improved': 2,
+        'Simplified': 3,
+        'Standard': 4,
+        'Apartment': 5,
+        'Type S1': 6,
+        'Type S2': 7,
+        'Model A': 8,
+        'Model A2': 9,
+        'New Generation': 10,
+        'Adjoined flat': 11,
+        'Improved-Maisonette': 12,
+        'Maisonette': 13,
+        'Model A-Maisonette': 14,
+        'Multi Generation': 15,
+        'Premium Apartment': 16,
+        'Premium Maisonette': 17,
+        'DBSS': 18,
+        'Terrace': 19,
+        'Premium Apartment Loft': 20,
+        '3Gen': 21
+    }
+
+    encoded_flat_type = flat_type_mapping[flat_type]
+    encoded_flat_model = flat_model_mapping[flat_model]
+
+    # Convert inputs to correct types
+    year = int(year)
+    month = int(month)
+    floor = int(floor)
+    floor_area_sqm = float(floor_area_sqm)
+    remaining_years = int(remaining_years)
+
+    # Scale continuous features using the same scaler as during training
+    numeric_features = np.array([[year, month, floor, floor_area_sqm, remaining_years]], dtype=np.float32)
+    scaled_numeric_features = scaler.transform(numeric_features)
+
+    # Prepare the numeric input by concatenating scaled continuous and categorical features
+    numeric_input = np.concatenate([scaled_numeric_features, [[encoded_flat_type, encoded_flat_model]]], axis=1).astype(np.float32)  # Shape (1, 7)
+
+    # Pass the three separate inputs as required by the model
+    prediction = model.predict([town_embedding_vector, street_name_embedding_vector, numeric_input])
+
+    # Format prediction output
+    predicted_price = prediction[0][0]
+    output = f"S${predicted_price:,.2f}"
+
+    return output
+
+def plot(town_data, street_name, forecast_years=1):
+    """
+    Generates a time series plot for the resale price trend over time for a specified street name.
+
+    Parameters:
+    - town_data (DataFrame): The DataFrame containing the data with columns 'street_name', 'time', and 'resale_price'.
+    - street_name (str): The street name to filter the data by.
+
+    Returns:
+    - tuple: A tuple containing the formatted prediction as a string and the file path to the saved plot image.
+    """
+    
+    # Filter data for the specified street name
+    filtered_town_data = town_data[town_data['street_name'] == street_name]
+    
+    # Check if the filtered dataset is empty
+    if filtered_town_data.empty:
+        raise ValueError("No flat type in the area")
+    
+    # Extract sale year and month from the 'month' column
+    filtered_town_data['sale_year'] = filtered_town_data['month'].apply(lambda x: int(x.split('-')[0]))  # Get year from 'month'
+    filtered_town_data['sale_month'] = filtered_town_data['month'].apply(lambda x: int(x.split('-')[1]))  # Get month from 'month'
+
+    # Convert the 'month' column to a numerical representation
+    filtered_town_data['time'] = filtered_town_data['sale_year'] + (filtered_town_data['sale_month'] - 1) / 12
+    
+    # Sort data by 'time'
+    filtered_data = filtered_town_data.sort_values(by='time')
+    
+    # Group by month and calculate the average resale price
+    monthly_avg = filtered_data.groupby('time')['resale_price'].mean().reset_index()
+    monthly_avg = monthly_avg[:-1]
+    
+    # Plot the average monthly resale price trend
+    plt.figure(figsize=(10, 6))
+    plt.plot(monthly_avg['time'], monthly_avg['resale_price'], color='blue', label='Average Monthly Resale Price')
+    plt.xlabel('Time (Year)')
+    plt.ylabel('Average Resale Price')
+    plt.title(f'Average Monthly Resale Price Trend Over Time for {street_name}')
+    plt.legend()
+    
+    # Save the plot and close it
+    plot_path = "resale_price_trend.png"
+    plt.savefig(plot_path)
+    plt.close()
+    
+    # Format prediction and return results
+    return plot_path, monthly_avg
+
+
+def predict_price(year, month, town, street_name, floor, flat_type, flat_model, floor_area_sqm, lease_commence_date):
+    
+    predicted_price = NN_predict(year, month, town, street_name, floor, flat_type, flat_model, floor_area_sqm, lease_commence_date)
+    plot_path, monthly_avg = plot(town_data, street_name)
+    recommendation = get_advice(monthly_avg, year, predicted_price, town, street_name, floor, flat_type, flat_model, floor_area_sqm, lease_commence_date)
+    
+    return predicted_price, plot_path, recommendation    
+
+# # Example usage
+# predicted = predict_price(
+#     year=2024, 
+#     month=10, 
+#     town='ANG MO KIO', 
+#     street_name='ANG MO KIO AVE 10', 
+#     floor=10, 
+#     flat_type='2 ROOM', 
+#     flat_model='Improved', 
+#     floor_area_sqm=44, 
+#     lease_commence_date=1979
+# )
+
+# print(predicted)
+
+# Gradio
+import gradio as gr
+
+interface = gr.Interface(
+    fn=predict_price,
+    title="NeuralNest", 
+    inputs=[
+        gr.components.Number(label="Year", value = 2024), 
+        gr.components.Number(label="Month", value = 11), 
+        gr.components.Dropdown(choices=['ANG MO KIO',
+                                        'BEDOK',
+                                        'BISHAN',
+                                        'BUKIT BATOK',
+                                        'BUKIT MERAH',
+                                        'BUKIT PANJANG',
+                                        'BUKIT TIMAH',
+                                        'CENTRAL AREA',
+                                        'CHOA CHU KANG',
+                                        'CLEMENTI',
+                                        'GEYLANG',
+                                        'HOUGANG',
+                                        'JURONG EAST',
+                                        'JURONG WEST',
+                                        'KALLANG/WHAMPOA',
+                                        'MARINE PARADE',
+                                        'PASIR RIS',
+                                        'PUNGGOL',
+                                        'QUEENSTOWN',
+                                        'SEMBAWANG',
+                                        'SENGKANG',
+                                        'SERANGOON',
+                                        'TAMPINES',
+                                        'TOA PAYOH',
+                                        'WOODLANDS',
+                                        'YISHUN'], value = 'ANG MO KIO', label="Town"), 
+        gr.components.Dropdown(choices=['ANG MO KIO AVE 10',
+            'ANG MO KIO AVE 4',
+            'ANG MO KIO AVE 5',
+            'ANG MO KIO AVE 1',
+            'ANG MO KIO AVE 3',
+            'ANG MO KIO AVE 9',
+            'ANG MO KIO AVE 8',
+            'ANG MO KIO AVE 6',
+            'ANG MO KIO ST 52',
+            'BEDOK NTH AVE 4',
+            'BEDOK NTH AVE 1',
+            'BEDOK NTH RD',
+            'BEDOK STH AVE 1',
+            'BEDOK RESERVOIR RD',
+            'CHAI CHEE ST',
+            'BEDOK NTH ST 3',
+            'BEDOK STH RD',
+            'CHAI CHEE AVE',
+            'NEW UPP CHANGI RD',
+            'CHAI CHEE DR',
+            'BEDOK STH AVE 2',
+            'BEDOK NTH AVE 3',
+            'BEDOK RESERVOIR VIEW',
+            'CHAI CHEE RD',
+            'LENGKONG TIGA',
+            'BEDOK CTRL',
+            'JLN DAMAI',
+            'BEDOK NTH AVE 2',
+            'BEDOK STH AVE 3',
+            'SIN MING RD',
+            'SIN MING AVE',
+            'BISHAN ST 12',
+            'BISHAN ST 13',
+            'BISHAN ST 22',
+            'BISHAN ST 24',
+            'BISHAN ST 23',
+            'BRIGHT HILL DR',
+            'SHUNFU RD',
+            'BT BATOK ST 34',
+            'BT BATOK ST 51',
+            'BT BATOK ST 11',
+            'BT BATOK ST 52',
+            'BT BATOK ST 21',
+            'BT BATOK EAST AVE 5',
+            'BT BATOK WEST AVE 6',
+            'BT BATOK CTRL',
+            'BT BATOK WEST AVE 8',
+            'BT BATOK EAST AVE 4',
+            'BT BATOK ST 31',
+            'BT BATOK ST 25',
+            'BT BATOK EAST AVE 3',
+            'BT BATOK WEST AVE 5',
+            'BT BATOK ST 24',
+            'JLN BT HO SWEE',
+            'TELOK BLANGAH DR',
+            'BEO CRES',
+            'TELOK BLANGAH CRES',
+            'TAMAN HO SWEE',
+            'TELOK BLANGAH RISE',
+            'TELOK BLANGAH WAY',
+            'JLN BT MERAH',
+            'JLN KLINIK',
+            'TELOK BLANGAH HTS',
+            'BT MERAH VIEW',
+            'INDUS RD',
+            'BT MERAH LANE 1',
+            'TELOK BLANGAH ST 31',
+            'MOH GUAN TER',
+            'HAVELOCK RD',
+            'HENDERSON CRES',
+            'BT PURMEI RD',
+            'KIM TIAN RD',
+            'DEPOT RD',
+            'JLN RUMAH TINGGI',
+            'DELTA AVE',
+            'JLN MEMBINA',
+            'REDHILL RD',
+            'LENGKOK BAHRU',
+            'ZION RD',
+            'PETIR RD',
+            'PENDING RD',
+            'BANGKIT RD',
+            'SEGAR RD',
+            'JELAPANG RD',
+            'SENJA RD',
+            'FAJAR RD',
+            'BT PANJANG RING RD',
+            'SENJA LINK',
+            'LOMPANG RD',
+            'GANGSA RD',
+            'TOH YI DR',
+            'FARRER RD',
+            'JLN KUKOH',
+            'ROWELL RD',
+            'WATERLOO ST',
+            'NEW MKT RD',
+            'TG PAGAR PLAZA',
+            'QUEEN ST',
+            'BAIN ST',
+            'CANTONMENT RD',
+            'TECK WHYE LANE',
+            'CHOA CHU KANG AVE 4',
+            'CHOA CHU KANG AVE 3',
+            'CHOA CHU KANG CRES',
+            'CHOA CHU KANG ST 54',
+            'CHOA CHU KANG CTRL',
+            'JLN TECK WHYE',
+            'CHOA CHU KANG ST 62',
+            'CHOA CHU KANG NTH 6',
+            'CHOA CHU KANG DR',
+            'CHOA CHU KANG NTH 5',
+            'CHOA CHU KANG ST 52',
+            'CHOA CHU KANG AVE 2',
+            'CLEMENTI WEST ST 2',
+            'WEST COAST RD',
+            'CLEMENTI WEST ST 1',
+            'CLEMENTI AVE 4',
+            'CLEMENTI AVE 5',
+            'CLEMENTI ST 11',
+            'CLEMENTI AVE 2',
+            'CLEMENTI AVE 3',
+            'CLEMENTI AVE 1',
+            "C'WEALTH AVE WEST",
+            'CIRCUIT RD',
+            'BALAM RD',
+            'MACPHERSON LANE',
+            'EUNOS CRES',
+            'UBI AVE 1',
+            'HAIG RD',
+            'OLD AIRPORT RD',
+            'GEYLANG EAST AVE 1',
+            'SIMS DR',
+            'PIPIT RD',
+            'GEYLANG EAST CTRL',
+            'EUNOS RD 5',
+            'CASSIA CRES',
+            'BUANGKOK CRES',
+            'HOUGANG AVE 3',
+            'HOUGANG AVE 8',
+            'HOUGANG AVE 1',
+            'HOUGANG AVE 5',
+            'HOUGANG ST 61',
+            'HOUGANG ST 11',
+            'HOUGANG AVE 7',
+            'HOUGANG AVE 4',
+            'HOUGANG AVE 2',
+            'LOR AH SOO',
+            'HOUGANG ST 92',
+            'HOUGANG ST 52',
+            'HOUGANG AVE 10',
+            'HOUGANG ST 51',
+            'UPP SERANGOON RD',
+            'HOUGANG CTRL',
+            'HOUGANG ST 91',
+            'BUANGKOK LINK',
+            'HOUGANG ST 31',
+            'PANDAN GDNS',
+            'TEBAN GDNS RD',
+            'JURONG EAST ST 24',
+            'JURONG EAST ST 21',
+            'JURONG EAST AVE 1',
+            'JURONG EAST ST 13',
+            'JURONG EAST ST 32',
+            'TOH GUAN RD',
+            'JURONG WEST ST 93',
+            'BOON LAY AVE',
+            'HO CHING RD',
+            'BOON LAY DR',
+            'TAO CHING RD',
+            'JURONG WEST ST 91',
+            'JURONG WEST ST 42',
+            'JURONG WEST ST 92',
+            'BOON LAY PL',
+            'JURONG WEST ST 52',
+            'TAH CHING RD',
+            'JURONG WEST ST 81',
+            'YUNG SHENG RD',
+            'JURONG WEST ST 25',
+            'JURONG WEST ST 73',
+            'JURONG WEST ST 72',
+            'JURONG WEST AVE 3',
+            'JURONG WEST AVE 5',
+            'YUNG HO RD',
+            'JURONG WEST ST 74',
+            'JURONG WEST AVE 1',
+            'JURONG WEST ST 71',
+            'JURONG WEST ST 61',
+            'JURONG WEST ST 65',
+            'JURONG WEST CTRL 1',
+            'JURONG WEST ST 64',
+            'JURONG WEST ST 62',
+            'JURONG WEST ST 41',
+            'JURONG WEST ST 24',
+            'JLN BATU',
+            'JLN BAHAGIA',
+            'LOR LIMAU',
+            "ST. GEORGE'S RD",
+            'KALLANG BAHRU',
+            'DORSET RD',
+            'GEYLANG BAHRU',
+            'BENDEMEER RD',
+            'WHAMPOA DR',
+            'UPP BOON KENG RD',
+            'RACE COURSE RD',
+            'OWEN RD',
+            'NTH BRIDGE RD',
+            'TOWNER RD',
+            'FARRER PK RD',
+            'MCNAIR RD',
+            'JLN TENTERAM',
+            'BOON KENG RD',
+            'JLN RAJAH',
+            'MARINE DR',
+            'MARINE CRES',
+            'MARINE TER',
+            'CHANGI VILLAGE RD',
+            'PASIR RIS ST 71',
+            'PASIR RIS ST 11',
+            'PASIR RIS DR 3',
+            'PASIR RIS DR 6',
+            'PASIR RIS ST 21',
+            'PASIR RIS DR 4',
+            'PASIR RIS ST 53',
+            'PASIR RIS DR 10',
+            'PASIR RIS ST 52',
+            'PASIR RIS ST 12',
+            'PASIR RIS ST 51',
+            'PASIR RIS ST 72',
+            'PASIR RIS DR 1',
+            'PUNGGOL FIELD',
+            'EDGEDALE PLAINS',
+            'PUNGGOL FIELD WALK',
+            'EDGEFIELD PLAINS',
+            'PUNGGOL RD',
+            'PUNGGOL EAST',
+            'PUNGGOL DR',
+            'PUNGGOL CTRL',
+            'PUNGGOL PL',
+            "C'WEALTH CL",
+            'STIRLING RD',
+            'MEI LING ST',
+            "C'WEALTH CRES",
+            "C'WEALTH DR",
+            'GHIM MOH RD',
+            'DOVER RD',
+            'HOLLAND AVE',
+            'STRATHMORE AVE',
+            'HOLLAND DR',
+            'GHIM MOH LINK',
+            'CLARENCE LANE',
+            'DOVER CRES',
+            'SEMBAWANG DR',
+            'SEMBAWANG CL',
+            'MONTREAL DR',
+            'ADMIRALTY LINK',
+            'ADMIRALTY DR',
+            'SEMBAWANG CRES',
+            'CANBERRA RD',
+            'FERNVALE RD',
+            'COMPASSVALE LANE',
+            'ANCHORVALE RD',
+            'RIVERVALE DR',
+            'RIVERVALE CRES',
+            'SENGKANG EAST WAY',
+            'RIVERVALE ST',
+            'RIVERVALE WALK',
+            'FERNVALE LANE',
+            'ANCHORVALE LINK',
+            'COMPASSVALE RD',
+            'COMPASSVALE CRES',
+            'JLN KAYU',
+            'COMPASSVALE WALK',
+            'COMPASSVALE DR',
+            'COMPASSVALE LINK',
+            'COMPASSVALE BOW',
+            'SENGKANG CTRL',
+            'ANCHORVALE LANE',
+            'ANCHORVALE DR',
+            'COMPASSVALE ST',
+            'SERANGOON AVE 4',
+            'LOR LEW LIAN',
+            'SERANGOON AVE 2',
+            'SERANGOON NTH AVE 1',
+            'SERANGOON AVE 1',
+            'SERANGOON CTRL',
+            'SERANGOON NTH AVE 4',
+            'TAMPINES ST 22',
+            'TAMPINES ST 41',
+            'TAMPINES AVE 4',
+            'TAMPINES ST 44',
+            'TAMPINES ST 81',
+            'TAMPINES ST 11',
+            'TAMPINES ST 23',
+            'TAMPINES ST 91',
+            'TAMPINES ST 21',
+            'TAMPINES ST 83',
+            'TAMPINES ST 42',
+            'TAMPINES ST 71',
+            'TAMPINES ST 45',
+            'TAMPINES ST 34',
+            'TAMPINES ST 82',
+            'TAMPINES AVE 9',
+            'SIMEI ST 1',
+            'SIMEI ST 5',
+            'TAMPINES ST 72',
+            'TAMPINES ST 84',
+            'SIMEI ST 2',
+            'TAMPINES CTRL 7',
+            'TAMPINES ST 33',
+            'TAMPINES ST 32',
+            'TAMPINES AVE 5',
+            'LOR 5 TOA PAYOH',
+            'LOR 7 TOA PAYOH',
+            'LOR 4 TOA PAYOH',
+            'LOR 1 TOA PAYOH',
+            'TOA PAYOH EAST',
+            'POTONG PASIR AVE 1',
+            'TOA PAYOH NTH',
+            'LOR 8 TOA PAYOH',
+            'LOR 3 TOA PAYOH',
+            'POTONG PASIR AVE 3',
+            'JOO SENG RD',
+            'LOR 2 TOA PAYOH',
+            'TOA PAYOH CTRL',
+            'MARSILING DR',
+            'WOODLANDS ST 13',
+            'WOODLANDS DR 52',
+            'WOODLANDS ST 41',
+            'MARSILING CRES',
+            'WOODLANDS ST 83',
+            'WOODLANDS CIRCLE',
+            'WOODLANDS DR 40',
+            'WOODLANDS ST 31',
+            'WOODLANDS DR 16',
+            'WOODLANDS ST 81',
+            'WOODLANDS RING RD',
+            'WOODLANDS DR 53',
+            'WOODLANDS DR 62',
+            'WOODLANDS DR 70',
+            'WOODLANDS DR 42',
+            'WOODLANDS DR 50',
+            'WOODLANDS AVE 6',
+            'WOODLANDS DR 14',
+            'WOODLANDS AVE 1',
+            'WOODLANDS AVE 5',
+            'MARSILING RISE',
+            'WOODLANDS CRES',
+            'WOODLANDS DR 73',
+            'WOODLANDS DR 44',
+            'YISHUN RING RD',
+            'YISHUN AVE 3',
+            'YISHUN ST 11',
+            'YISHUN AVE 4',
+            'YISHUN ST 22',
+            'YISHUN ST 71',
+            'YISHUN AVE 5',
+            'YISHUN ST 21',
+            'YISHUN ST 41',
+            'YISHUN ST 61',
+            'YISHUN AVE 6',
+            'YISHUN AVE 11',
+            'YISHUN CTRL',
+            'YISHUN ST 81',
+            'YISHUN ST 72',
+            'YISHUN AVE 2',
+            'ANG MO KIO ST 32',
+            'ANG MO KIO ST 31',
+            'BEDOK NTH ST 2',
+            'BEDOK NTH ST 1',
+            'JLN TENAGA',
+            'BEDOK NTH ST 4',
+            'BT BATOK WEST AVE 4',
+            'CANTONMENT CL',
+            'BOON TIONG RD',
+            'SPOTTISWOODE PK RD',
+            'REDHILL CL',
+            'KIM TIAN PL',
+            'CASHEW RD',
+            "QUEEN'S RD",
+            'CHANDER RD',
+            'KELANTAN RD',
+            'SAGO LANE',
+            'UPP CROSS ST',
+            'CHIN SWEE RD',
+            'SMITH ST',
+            'TECK WHYE AVE',
+            'CHOA CHU KANG ST 51',
+            'CHOA CHU KANG AVE 5',
+            'CHOA CHU KANG AVE 1',
+            'WEST COAST DR',
+            'PAYA LEBAR WAY',
+            'ALJUNIED CRES',
+            'JOO CHIAT RD',
+            'PINE CL',
+            'HOUGANG ST 22',
+            'HOUGANG AVE 9',
+            'HOUGANG AVE 6',
+            'HOUGANG ST 21',
+            'JURONG WEST ST 75',
+            'KANG CHING RD',
+            'KG KAYU RD',
+            'CRAWFORD LANE',
+            'WHAMPOA WEST',
+            'BEACH RD',
+            'CAMBRIDGE RD',
+            "ST. GEORGE'S LANE",
+            'JELLICOE RD',
+            'ELIAS RD',
+            'HOLLAND CL',
+            'TANGLIN HALT RD',
+            "C'WEALTH AVE",
+            'WELLINGTON CIRCLE',
+            'CANBERRA LINK',
+            'SENGKANG WEST AVE',
+            'SENGKANG EAST RD',
+            'SERANGOON CTRL DR',
+            'SERANGOON AVE 3',
+            'SERANGOON NTH AVE 3',
+            'TAMPINES AVE 8',
+            'TAMPINES ST 24',
+            'TAMPINES ST 12',
+            'SIMEI LANE',
+            'SIMEI ST 4',
+            'LOR 6 TOA PAYOH',
+            'KIM KEAT LINK',
+            'MARSILING LANE',
+            'WOODLANDS ST 82',
+            'WOODLANDS DR 60',
+            'WOODLANDS AVE 3',
+            'WOODLANDS DR 75',
+            'WOODLANDS AVE 4',
+            'WOODLANDS ST 32',
+            'YISHUN AVE 7',
+            'ANG MO KIO ST 11',
+            'BISHAN ST 11',
+            'BT BATOK WEST AVE 2',
+            'BT BATOK ST 32',
+            'BT BATOK ST 33',
+            'BT BATOK ST 22',
+            'BT BATOK WEST AVE 7',
+            'HOY FATT RD',
+            'SILAT AVE',
+            'EVERTON PK',
+            'BT MERAH CTRL',
+            'JELEBU RD',
+            'EMPRESS RD',
+            'VEERASAMY RD',
+            'CHOA CHU KANG ST 64',
+            'CHOA CHU KANG ST 53',
+            'CHOA CHU KANG NTH 7',
+            'CLEMENTI AVE 6',
+            'CLEMENTI ST 13',
+            'GEYLANG SERAI',
+            'JLN TIGA',
+            'ALJUNIED RD',
+            'YUNG LOH RD',
+            'YUNG AN RD',
+            "JLN MA'MOR",
+            'WHAMPOA RD',
+            'LOR 3 GEYLANG',
+            'PASIR RIS ST 13',
+            "QUEEN'S CL",
+            'DOVER CL EAST',
+            'SEMBAWANG VISTA',
+            'TAMPINES ST 43',
+            'SIMEI RD',
+            'KIM KEAT AVE',
+            'UPP ALJUNIED LANE',
+            'POTONG PASIR AVE 2',
+            'WOODLANDS DR 72',
+            'MARSILING RD',
+            'WOODLANDS DR 71',
+            'YISHUN AVE 9',
+            'YISHUN ST 20',
+            'ANG MO KIO ST 21',
+            'TIONG BAHRU RD',
+            'KLANG LANE',
+            'CHOA CHU KANG LOOP',
+            'CLEMENTI ST 14',
+            'SIMS PL',
+            'JURONG EAST ST 31',
+            'YUAN CHING RD',
+            'CORPORATION DR',
+            'YUNG PING RD',
+            'WHAMPOA STH',
+            'TESSENSOHN RD',
+            'JLN DUSUN',
+            'QUEENSWAY',
+            'FERNVALE LINK',
+            'KIM PONG RD',
+            'KIM CHENG ST',
+            'SAUJANA RD',
+            'BUFFALO RD',
+            'CLEMENTI ST 12',
+            'DAKOTA CRES',
+            'JURONG WEST ST 51',
+            'FRENCH RD',
+            'GLOUCESTER RD',
+            'KG ARANG RD',
+            'MOULMEIN RD',
+            'KENT RD',
+            'AH HOOD RD',
+            'SERANGOON NTH AVE 2',
+            'TAMPINES CTRL 1',
+            'TAMPINES AVE 7',
+            'LOR 1A TOA PAYOH',
+            'WOODLANDS AVE 9',
+            'YISHUN CTRL 1',
+            'LOWER DELTA RD',
+            'JLN DUA',
+            'WOODLANDS ST 11',
+            'ANG MO KIO AVE 2',
+            'SELEGIE RD',
+            'SIMS AVE',
+            'REDHILL LANE',
+            "KING GEORGE'S AVE",
+            'PASIR RIS ST 41',
+            'PUNGGOL WALK',
+            'LIM LIAK ST',
+            'JLN BERSEH',
+            'SENGKANG WEST WAY',
+            'BUANGKOK GREEN',
+            'SEMBAWANG WAY',
+            'PUNGGOL WAY',
+            'YISHUN ST 31',
+            'TECK WHYE CRES',
+            'KRETA AYER RD',
+            'MONTREAL LINK',
+            'UPP SERANGOON CRES',
+            'SUMANG LINK',
+            'SENGKANG EAST AVE',
+            'YISHUN AVE 1',
+            'ANCHORVALE CRES',
+            'YUNG KUANG RD',
+            'ANCHORVALE ST',
+            'TAMPINES CTRL 8',
+            'YISHUN ST 51',
+            'UPP SERANGOON VIEW',
+            'TAMPINES AVE 1',
+            'BEDOK RESERVOIR CRES',
+            'ANG MO KIO ST 61',
+            'DAWSON RD',
+            'FERNVALE ST',
+            'SENG POH RD',
+            'HOUGANG ST 32',
+            'TAMPINES ST 86',
+            'HENDERSON RD',
+            'SUMANG WALK',
+            'CHOA CHU KANG AVE 7',
+            'KEAT HONG CL',
+            'JURONG WEST CTRL 3',
+            'KEAT HONG LINK',
+            'ALJUNIED AVE 2',
+            'CANBERRA CRES',
+            'SUMANG LANE',
+            'CANBERRA ST',
+            'ANG MO KIO ST 44',
+            'ANG MO KIO ST 51',
+            'BT BATOK EAST AVE 6',
+            'BT BATOK WEST AVE 9',
+            'GEYLANG EAST AVE 2',
+            'MARINE PARADE CTRL',
+            'CANBERRA WALK',
+            'WOODLANDS RISE',
+            'TAMPINES ST 61',
+            'YISHUN ST 43',
+            'SENGKANG WEST RD',
+            'BIDADARI PK DR',
+            'CANBERRA VIEW'], value = "ANG MO KIO AVE 10", label = "Street Name"),
+        gr.components.Number(label="Floor", value = 1), 
+        gr.components.Dropdown(choices=['1 ROOM', '2 ROOM', '3 ROOM', '4 ROOM', '5 ROOM', 'EXECUTIVE', 'MULTI-GENERATION'], value='1 ROOM', label="Flat Type"), 
+        gr.components.Dropdown(choices=['2-room', 'Improved', 'Simplified', 'Standard', 'Apartment', 'Type S1', 'Type S2', 'Model A', 'Model A2', 'New Generation', 'Adjoined flat', 'Improved-Maisonette', 'Maisonette', 'Model A-Maisonette', 'Multi Generation', 'Premium Apartment', 'Premium Maisonette', 'DBSS', 'Terrace', 'Premium Apartment Loft', '3Gen'], value='Improved', label="Flat Model"),
+        gr.components.Number(label="Floor Area (sqm)"),
+        gr.components.Number(label="Lease Commence Year")
+    ], 
+    outputs=[gr.components.Textbox(label="Predicted Resale Price"),
+            gr.components.Image(type="filepath", label="Resale Price Trend Timeseries with following year prediction"),
+            gr.components.Textbox(label="AI Real Estate Advisor")],
+    allow_flagging="never"
+)
+
+# Launch the interface
+interface.launch()

requirements.txt

@@ -0,0 +1,5 @@
+numpy
+pandas
+joblib
+tensorflow
+matplotlib

street_name_categories.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3684a67eecc5152581360954458444c27e6ffc0878d41ba1ed10c1ada4b32004
+size 9406

town_categories.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b871705543a5ea22be51bfb06cbbc82944a05f636f62c536199a760410e13e0f
+size 342