Computer Science Engineering graduate specializing in Artificial Intelligence and Data Science, with skills in Python, Java, C, and MySQL. Experienced in subtitle quality control and developing a machine learning project for plant disease prediction. Interested in applying programming, database management, and problem-solving skills to practical software development and AI/ML applications.
Worked on a hybrid machine learning approach for plant disease classification using image-based features. Used a Convolutional Neural Network (CNN) for feature extraction from plant images. Applied Support Vector Machine (SVM) and Random Forest algorithms for disease classification. Participated in a hackathon conducted by SJC Institute of Technology, presenting the plant disease prediction project.
Participated in a hackathon focused on plant disease prediction using machine learning, involving CNN-based feature extraction and SVM and Random Forest classification techniques.