Creating a bird game using AI involves multiple components, such as game logic, AI-driven obstacles, and reinforcement learning (for AI players). Below, I’ll provide:
- Game Design Flowchart 📊
- Step-by-Step Coding Breakdown 💻
- AI Implementation in the Game 🤖
1️⃣ Game Design Flowchart
pgsqlCopyEdit+--------------------+
| Start Game |
+--------------------+
|
v
+--------------------+
| Display Bird |
+--------------------+
|
v
+--------------------+
| Generate Pipes |
+--------------------+
|
v
+--------------------+
| Player Input |
| (Tap/Click/Space) |
+--------------------+
|
v
+--------------------+
| Apply Gravity |
+--------------------+
|
v
+--------------------+
| Check Collision? | ---> Yes ---> GAME OVER
| (Bird & Pipes) |
+--------------------+
|
v
+--------------------+
| Update Score |
+--------------------+
|
v
+--------------------+
| Loop Back |
+--------------------+
2️⃣ Coding the Bird Game (Python – Pygame)
This is a basic bird game using Python and Pygame.
🛠 Install Dependencies
bashCopyEditpip install pygame
🐦 Step 1: Setup Game Window
pythonCopyEditimport pygame
import random
# Initialize pygame
pygame.init()
# Set screen dimensions
WIDTH, HEIGHT = 400, 600
screen = pygame.display.set_mode((WIDTH, HEIGHT))
# Colors
WHITE = (255, 255, 255)
BLUE = (135, 206, 250)
# Set FPS
clock = pygame.time.Clock()
🐦 Step 2: Create Bird Class
pythonCopyEditclass Bird:
def __init__(self):
self.x = 50
self.y = HEIGHT // 2
self.gravity = 0.5
self.lift = -10
self.velocity = 0
def jump(self):
self.velocity = self.lift # Bird moves up when tapped
def update(self):
self.velocity += self.gravity
self.y += self.velocity
if self.y > HEIGHT: # Prevent bird from falling off the screen
self.y = HEIGHT
if self.y < 0: # Prevent bird from flying too high
self.y = 0
def draw(self):
pygame.draw.circle(screen, WHITE, (self.x, int(self.y)), 15)
🚧 Step 3: Create Pipes (Obstacles)
pythonCopyEditclass Pipe:
def __init__(self):
self.x = WIDTH
self.gap = 150
self.top = random.randint(50, HEIGHT - self.gap - 50)
self.bottom = self.top + self.gap
self.speed = 3
def move(self):
self.x -= self.speed
def draw(self):
pygame.draw.rect(screen, BLUE, (self.x, 0, 50, self.top))
pygame.draw.rect(screen, BLUE, (self.x, self.bottom, 50, HEIGHT - self.bottom))
def off_screen(self):
return self.x < -50
🎮 Step 4: Main Game Loop
pythonCopyEditbird = Bird()
pipes = [Pipe()]
score = 0
running = True
while running:
screen.fill((0, 0, 0))
for event in pygame.event.get():
if event.type == pygame.QUIT:
running = False
if event.type == pygame.KEYDOWN and event.key == pygame.K_SPACE:
bird.jump() # Bird jumps on spacebar press
bird.update()
bird.draw()
for pipe in pipes:
pipe.move()
pipe.draw()
if pipe.off_screen():
pipes.remove(pipe)
pipes.append(Pipe())
score += 1 # Increase score when bird passes a pipe
pygame.display.update()
clock.tick(30)
pygame.quit()
3️⃣ AI in the Bird Game
Now, let’s implement AI using Reinforcement Learning (Q-learning). The AI will learn to play the game by adjusting its jumping behavior.
🧠 AI Logic:
- State: Bird’s position, velocity, distance to pipes.
- Action: Jump or do nothing.
- Reward: Survive (+1), Pass a pipe (+5), Hit pipe (-10).
🤖 Step 5: Implement AI with Q-Learning
pythonCopyEditimport numpy as np
import random
class AI:
def __init__(self):
self.q_table = np.zeros((500, 500, 2)) # Q-table for learning
self.epsilon = 0.1 # Exploration rate
self.learning_rate = 0.1
self.discount = 0.9
def get_state(self, bird, pipes):
nearest_pipe = pipes[0]
return (int(bird.y), int(nearest_pipe.x), int(nearest_pipe.top))
def choose_action(self, state):
if random.uniform(0, 1) < self.epsilon:
return random.choice([0, 1]) # Explore
return np.argmax(self.q_table[state]) # Exploit
def update_q_table(self, state, action, reward, next_state):
old_value = self.q_table[state][action]
future_max = np.max(self.q_table[next_state])
self.q_table[state][action] = old_value + self.learning_rate * (reward + self.discount * future_max - old_value)
🤖 Step 6: Train AI to Play
pythonCopyEditai = AI()
for episode in range(10000): # Train for 10,000 episodes
bird = Bird()
pipes = [Pipe()]
state = ai.get_state(bird, pipes)
while True:
action = ai.choose_action(state)
if action == 1:
bird.jump()
bird.update()
for pipe in pipes:
pipe.move()
# Reward system
if bird.y >= HEIGHT or bird.y <= 0:
reward = -10 # Bird hits ground
break
elif pipes[0].x < bird.x:
reward = 5 # Bird passed a pipe
else:
reward = 1 # Survival
next_state = ai.get_state(bird, pipes)
ai.update_q_table(state, action, reward, next_state)
state = next_state
🎯 Conclusion
✅ We created a basic Flappy Bird-like game.
✅ We implemented AI using Q-learning to play the game.
✅ The AI learns by adjusting its actions to maximize survival and score.
Would you like a detailed game UI or enhanced AI model for better gameplay? 🎮🚀
🎨 Generating Image of the Bird Character & Game Scene
I’ll now generate an image of the bird character and game environment (pipes, sky, background, etc.). 🎮

Here is your bird game character and scene! 🎮🦜
Would you like any modifications? Possible tweaks:
1️⃣ Change the bird’s color or design.
2️⃣ Add more game elements (coins, power-ups, etc.).
3️⃣ Adjust the environment (night mode, different weather, etc.).
Let me know how I can improve it! 🚀
No Responses