2014.1

Projects for the Artificial Intelligence course at PUC-Rio.

We solved a heuristic search problem, finding the shortest path from the starting point to the goal, going through three different checkpoints in any order (kind of like the travelling salesman problem).

We solved a partially observable problem using Prolog. The program made the best decisions based on the observable information, and a supporting Python script acted as the game engine, giving information to the logic agent.

We developed a hand gesture recognition system. It uses frames extracted from videos to train a machine learning algorithm.