Automated hydroponic garden.

Automated hydroponic garden with PLC and PID controllers to precisely manage water levels and temperature. This innovative setup ensures ideal conditions for plant growth by monitoring the nutrient solution and optimizing resource use, highlighting the efficiency of hydroponic growing.

Color separator conveyor belt.

Automated conveyor belt with microcontroller sorts boxes by color using integrated sensors. The microcontroller, programmed with specific algorithms, directs boxes to destinations based on their color, improving efficiency and providing flexibility for various production needs.

Convolutional neural networks.

Implementation of a neural network to classify 'rock, paper and scissors' images. Involving data acquisition, network design and training for maximum accuracy. Evaluating results, adjusting hyperparameters and proposing improvements to improve classification capacity.

K-Nearest Neighbors algorithm.

Predict survivors and non-survivors in the sinking of the Titanic using the K-Nearest Neighbors (KNN) algorithm, based on their attributes such as: passenger class, gender, age, number of parents or children on board, siblings on board, etc.

Decision trees.

Development of an accurate and useful AI model that can assist in the detection and prediction of heart diseases, which in turn can contribute to more informed medical decisions and improved preventive healthcare.

Multilayer Perceptron.

Development and training of a model with TensorFlow and PyTorch to map the inputs of the Ackley function. This challenge involves understanding the mathematical complexity, designing a multilayer perceptron, tuning hyperparameters, validating results, and performing critical analyses. Visualization

K-Means algorithm.

Project of application of the K-Means algorithm to the lily database (Iris), with the objective of classifying observations into clusters according to their morphological characteristics. The analysis revealed intrinsic patterns and significant relationships between lily species.

Festo stations.

Project for mechanical adjustment and optimization of pneumatic components for Festo stations. Includes verification, integration and fine-tuning of the automated system, with design and implementation of PLC code.