SolarVizyon Solar Panel Detection Project

This project contains the code for the SolarVizyon solar panel initiative. It primarily includes various algorithms, with a focus on convolutional neural networks (CNNs), to analyze and optimize the performance of solar panels.

Features

• Convolutional Neural Networks (CNNs): Core algorithms used for image processing and performance analysis.
• Optimization Algorithms: Various techniques implemented to enhance the efficiency of solar panels.
• Data Analysis Tools: Comprehensive tools to analyze and visualize the performance metrics of solar panels.

This project was developed as part of the Teknofest and TÜBİTAK initiatives.