1) The document outlines the development of a time table scheduling system using a genetic algorithm approach. It includes the team members and their roles, problem description, requirement gathering, system design process, and implementation using genetic algorithms. 2) A genetic algorithm is proposed to solve the NP-complete timetable scheduling problem due to its ability to converge towards optimal solutions. The methodology involves representing candidate solutions as chromosomes that undergo processes like selection, crossover and mutation. 3) Future work includes adding more features like error handling, testing, and a graphical user interface to improve the system for commercial use in other scheduling domains like hospitals, industries, and schools.