- Designed and deployed machine learning models to tackle real-world challenges, achieving improved accuracy and operational efficiency.- Applied deep learning methods, including neural networks, to advance image recognition capabilities.- Contributed to computer vision projects focused on image processing and object detection, leveraging frameworks like TensorFlow and OpenCV.

Developed a visually captivating website utilizing HTML, CSS, and WordPress to showcase interior and exterior design projects for a client, enhancing the designer’s online presence and portfolio presentation

The internship initiative aimed to instill a comprehensive understanding of IoT technologies and their practical applications. Key objectives included:Basic C++ Proficiency: -Ensure participants acquire a strong foundation in C++ programming.Object-Oriented Programming (OOP) Understanding: - Provide a comprehensive grasp of OOP using C++, complemented by foundational knowledge of electrical and electronic laws and components.Exploration of ESP32-based IoT Systems: - Delve into the intricacies of ESP32-based IoT systems and guide participants through programming using Arduino IDE.Introduction to Cloud Computing Principles: - Familiarize participants with cloud computing principles and illustrate the practical application of Firebase as a cloud platform for IoT.Proficiency in Mobile Programming with Flutter: - Develop skills in mobile programming, specifically using Flutter, enabling participants to create user interfaces and mobile-based control panels for IoT systems.Collaborative Teamwork: - Foster a collaborative team environment for the successful completion of practical assignments and the joint development of a final project, showcasing the seamless integration of diverse IoT technologies.