Trash state classification.

The project explores the development of an AI model using computer vision for precise household waste classification, targeting plastics, cardboard, glass, cans, and paper. The literature review underscores the environmental concern in Costa Rica and examines AI techniques in solid waste management for enhanced efficiency and accuracy.The methodology employs a mixed approach, combining quantitative and applied elements. A carefully selected dataset and augmentation techniques are used to develop a robust AI model. Evaluation occurs in real household environments with active user participation. Results indicate good performance in classifying with positive user acceptance.