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```python
# AI Dev Tool: Automatic Bird Identification System API
# Description: A micro-SaaS API for automatic bird identification using computer vision and machine learning.
# Technology Stack: FastAPI, Pydantic v2, OpenCV, TensorFlow

from fastapi import FastAPI, UploadFile, File
from pydantic import BaseModel
import cv2
import numpy as np
from tensorflow.keras.models import load_model
import uvicorn
from typing import Optional

# Load the pre-trained bird identification model
model = load_model('bird_identification_model.h5')

# Define the API application
app = FastAPI()

# Define the request body model for image upload
class BirdImage(BaseModel):
    image: UploadFile = File(...)

# Define the response model for bird identification
class BirdIdentificationResponse(BaseModel):
    bird_species: str
    confidence: float

# Define the API endpoint for bird identification
@app.post("/identify_bird", response_model=BirdIdentificationResponse)
async def identify_bird(image: BirdImage):
    """
    Identify the bird species in the uploaded image.

Args:
    image (UploadFile): The image file to identify.

Returns:
    BirdIdentificationResponse: The identified bird species and confidence level.

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