Transforming agriculture through technology, my "Plant Disease Prediction" project pioneers the use of machine learning, employing Convolutional Neural Networks (CNNs) and transfer learning. With a focus on early disease detection and crop health management, the project excels in high accuracy and adaptability across diverse plant species. Its real-world impact extends to optimizing crop management practices, promoting sustainability, and addressing global food security challenges. This… Show more Transforming agriculture through technology, my "Plant Disease Prediction" project pioneers the use of machine learning, employing Convolutional Neural Networks (CNNs) and transfer learning. With a focus on early disease detection and crop health management, the project excels in high accuracy and adaptability across diverse plant species. Its real-world impact extends to optimizing crop management practices, promoting sustainability, and addressing global food security challenges. This endeavor underscores my commitment to leveraging technology for meaningful advancements in agriculture, contributing to a more resilient and sustainable future. Show less

Throughout the internship, I enhanced my knowledge of cloud computing, data analytics, and educational technology, while also honing my project management and communication skills. This experience enabled me to navigate real-world challenges and work in a fast-paced, collaborative environment.

Built a project combining text and image steganography using Python which encrypts text and hides it in an image and the receiver can extract and decrypt the message using a known keyword.