src/predict.py

import joblib
import pandas as pd

# =====================================
# Load Saved Model
# =====================================

MODEL_PATH = "models/best_model.pkl"

model = joblib.load(
    MODEL_PATH
)

# =====================================
# Training Feature Order
# =====================================

FEATURE_ORDER = [

    "Engine_RPM",

    "Lub_Oil_Pressure",

    "Fuel_Pressure",

    "Coolant_Pressure",

    "Lub_Oil_Temperature",

    "Coolant_Temperature"

]

# =====================================
# Prediction Function
# =====================================

def predict_engine_condition(input_data):

    input_df = pd.DataFrame(
        [input_data]
    )

    # Ensure same feature order

    input_df = input_df[
        FEATURE_ORDER
    ]

    prediction = model.predict(
        input_df
    )

    return prediction[0]