🕒 Intelligent Timetable Scheduler 📅

🌟 Project Overview

An intelligent course scheduling system powered by Genetic Algorithms, designed to create optimal timetables with minimal conflicts and maximum efficiency.

✨ Key Features

• 🤖 Intelligent Scheduling: Uses advanced Genetic Algorithm
• 🗓️ Flexible Timetabling: Supports multiple departments, courses, and constraints
• 💡 Smart Conflict Resolution: Minimizes scheduling conflicts
• 📊 Database-Driven: Seamless MySQL integration

🚀 How It Works

The scheduler uses a sophisticated Genetic Algorithm to:

• 🔍 Evaluate scheduling possibilities
• 🧬 Evolve optimal solutions
• 🏆 Minimize scheduling conflicts

Optimization Criteria

• Room capacity matching
• Instructor availability
• Time slot distribution
• Course requirements

🛠️ Technical Stack

• Language: Python 3.8+
• Database: MySQL
• Key Libraries:
  • pymysql
  • prettytable
  • random

📦 Installation

# Clone the repository
git clone https://github.com/yourusername/timetable-scheduler.git

# Install dependencies
pip install pymysql prettytable

# Setup MySQL Database
# Import the required schema and data

🔧 Configuration

1. Update database connection parameters in main():

   connection = pymysql.connect(
       host='localhost',
       user='your_username',
       password='your_password',
       db='your_database'
   )

2. Adjust Genetic Algorithm parameters:

   POPULATION_SIZE = 15
   MUTATION_RATE = 0.3
   TOURNAMENT_SELECTION_SIZE = 6

🎯 Usage

# Run the scheduler
python timetable_scheduler.py

📈 Performance Metrics

• Initial Solution Quality: Randomly generated
• Optimization Goal: Fitness Score of 1.0
• Conflict Resolution: Minimized through evolutionary process

⭐ Don't forget to star the repository if you find it helpful! 🌟