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This report explores a methodology for flower classification using a pre-trained ResNet model. The approach involves fine-tuning the ResNet model on a flower dataset to achieve high classification accuracy. Key processes include data preprocessing, augmentation, model training, and evaluation, resulting in a validation accuracy of 95%. The project "Flower Classification Using Pre-trained ResNet Models in Computer Vision" aims to explore the capabilities of advanced deep learning techniques in accurately classifying flower species. Leveraging pre-trained Residual Networks (ResNet), this study demonstrates the efficacy of transfer learning in the domain of image classification, particularly for flora identification. This abstract outlines the methodology, key findings, and potential applications of the project, emphasizing the significant improvements in classification accuracy and computational efficiency achieved through the use of pre-trained models. [ABSTRACT FROM AUTHOR]

This paper explores the design and implementation of a dancing robot controlled by an Arduino Nano microcontroller. The objective is to create a versatile and engaging robotic system capable of performing dance movements in response to external stimuli or programmed sequences. The hardware setup includes servo motors for articulation, sensors for interaction, and LEDs for visual effects, all controlled through the Arduino Nano board. Key components of the project include the mechanical design of the robot for fluid motion, the integration of sensors to detect the environment or audience cues, and the programming of choreographed dance routines using Arduino's IDE. The system's flexibility allows for real-time adaptation to surroundings or user inputs, enhancing its interactive capabilities. Through this project, we demonstrate how Arduino Nano can serve as a robust platform for creating dynamic and entertaining robotic performances. Future developments could focus on expanding the robot's repertoire of movements, enhancing sensory capabilities, or integrating wireless communication for synchronized group performances. This paper provides insights into the practical applications of robotics in entertainment and educational contexts, emphasizing creativity and technical skill development. This project, "Fabrication of A Dancing Robot Using Arduino Nano," aimed to design and construct a dancing robot using Arduino Nano microcontroller technology. The project integrated various components such as sensors, motors, and LEDs to create a visually appealing and dynamically moving robot. The primary focus was on the mechanical design, electronic integration, and programming aspects to achieve a functional and entertaining robot. The fabrication process involved selecting and assembling mechanical components to form the robot's structure, ensuring stability and mobility. Electronic components such as servo motors and LED lights were incorporated to enable movement and visual effects, enhancing the robot's aesthetic appeal. Arduino Nano served as the central control unit, managing sensor inputs and executing programmed dance routines to create a lively and engaging performance. Programming the Arduino Nano was a critical aspect of the project, involving the development of algorithms for choreographing dance sequences and controlling the robot's movements. Participants utilized the Arduino Integrated Development Environment (IDE) to write and upload code, learning the fundamentals of programming and algorithm design in the context of robotics. The project provided hands-on experience in integrating hardware and software components to create a functional and interactive robotic system. In conclusion, the project "Fabrication of A Dancing Robot Using Arduino Nano" demonstrated the application of Arduino technology in robotics and provided valuable learning experiences in mechanical design, electronics, and programming. The dancing robot showcased the creative potential of robotics, highlighting the integration of technology and artistry in engineering projects. The project underscored the importance of interdisciplinary skills in robotics, preparing participants for future endeavors in the field of robotics and automation. [ABSTRACT FROM AUTHOR]