Shark and School of Fish Simulation 🦈🐟

This project simulates the interaction between a shark (predator) and a school of fish (prey) in a 2D environment.
It models schooling behavior, predator avoidance, and pursuit dynamics using numerical methods, visualization, and randomness.

Developed as part of the Master’s in Next-Level Engineering (MNLE) program.

---

🔹 Features

• Realistic schooling fish dynamics (attraction, spacing, randomness).
• Predator behavior with pursuit, attack radius, and eating latency.
• 2D simulation with animated visualization of predator–prey interactions.
• Adjustable parameters: fish count, shark speed, attraction strength, randomness, etc.

---

🔹 Tech Stack & Libraries

• Python
• Numerical & AI libraries: NumPy, Pandas, Torch
• Visualization: Matplotlib, FuncAnimation, tqdm
• Utilities: IPython.display (for inline animations in Jupyter Notebooks)

Example Output The animation shows: 🐟 Blue arrows → live fish schooling. ⚫ Black markers → dead fish. 🦈 Red/Orange arrows → shark (red = attacking, orange = searching)

Next Steps Extend to multiple sharks and multiple schools of fish. Explore emergent behaviors with varying parameters. Apply reinforcement learning for predator/prey strategy optimization.

🔹 How to Run

Clone the repository and run the simulation script:

git clone 
python simulation.py
'''.##'''