diff --git a/api/main.py b/api/main.py
new file mode 100644
index 0000000..39faceb
--- /dev/null
+++ b/api/main.py
@@ -0,0 +1,29 @@
+from fastapi import FastAPI, HTTPException
+from pydantic import BaseModel
+from models.linear_regression import LinearRegressionModel
+from models.logistic_regression import LogisticRegressionModel
+
+app = FastAPI(title="ML Simulator API", version="1.0")
+
+# Example input format
+class ModelInput(BaseModel):
+    model_name: str
+    features: list[float]
+
+@app.post("/predict")
+def predict(data: ModelInput):
+    model_name = data.model_name.lower()
+    features = data.features
+
+    if model_name == "linear_regression":
+        model = LinearRegressionModel()
+    elif model_name == "logistic_regression":
+        model = LogisticRegressionModel()
+    else:
+        raise HTTPException(status_code=400, detail="Model not found")
+
+    try:
+        prediction = model.predict(features)
+        return {"model": model_name, "prediction": prediction}
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))
diff --git a/models/linear_regression.py b/models/linear_regression.py
new file mode 100644
index 0000000..77fcce7
--- /dev/null
+++ b/models/linear_regression.py
@@ -0,0 +1,11 @@
+import numpy as np
+
+class LinearRegressionModel:
+    def __init__(self):
+        # Placeholder coefficients
+        self.coefficients = [1.5, -0.7, 0.3]
+        self.bias = 2.0
+
+    def predict(self, features):
+        x = np.array(features)
+        return float(np.dot(self.coefficients, x) + self.bias)
diff --git a/models/linear_regressuin.py b/models/linear_regressuin.py
deleted file mode 100644
index fe3b53a..0000000
--- a/models/linear_regressuin.py
+++ /dev/null
@@ -1,23 +0,0 @@
-# Contributing Guide
-
-We ❤️ contributions! This project is part of **Hacktoberfest**.
-
-## Steps to Contribute
-1. Fork the repo
-2. Create a new branch (`git checkout -b feature-model`)
-3. Add your model/page under `/pages`
-4. Use helper functions from `/utils`
-5. Commit and push (`git push origin feature-model`)
-6. Open a Pull Request (PR)
-
-## What You Can Work On
-- Add a new ML model (e.g., Decision Tree, KNN, SVM, etc.)
-- Improve plotting helpers
-- Add more datasets to `data_helpers`
-- Enhance UI/UX in Streamlit
-
-## Labels
-- `good first issue` → beginner-friendly
-- `feature` → add a new model
-- `bug` → fix something broken
-- `documentation` → improve docs