For my personal tech project, I utilized TensorFlow to develop a machine learning model for detecting objects on architectural floorplans. By training the model with a diverse dataset, it accurately identifies and labels elements such as walls, doors, and furniture. This project integrates advanced computer vision techniques and the TensorFlow Object Detection API, enhancing the efficiency of analyzing floorplans. The model's precision aids architects and designers in streamlining their workflow, making it a valuable tool in modern architectural design. This innovative approach demonstrates the potential of machine learning in transforming traditional architectural practices.