Final-year student with an average CGPA of 7.65, with technical skills in C, Python, SQL & Microsoft Office. I'm now looking for opportunities to demonstrate my skills & get useful experience to improve my skills & confidence while positively contributing to the organization's goals.
Education
B.Tech - Computer Science
Ahalia School of Engineering & Technology (APJKTU)
PLANT LEAF DISEASE IDENTIFICATION AND MANAGEMENT, 02/01/24, 05/01/24, Developed a Plant Disease Detection Model by utilising a convolutional neural network (CNN) to classify plant leaf images into categories such as Healthy, Powdery, and Rust using TensorFlow and Keras, achieving accurate disease identification., Implemented Web Application by creating a Flask-based web application to allow users to upload plant leaf images for real-time disease detection, enhancing accessibility and usability., Employed image preprocessing techniques such as resizing, normalization, and data augmentation to improve the model's robustness and accuracy., Combined machine learning and web development skills to deploy a deep learning model for plant disease detection as a user-friendly web service., Worked on model deployment using Flask, ensuring seamless integration with web technologies and conducting thorough testing to ensure reliable performance.
Training
Soft Computing approaches for AI
Internet of Things
Python
Timeline
B.Tech - Computer Science
Ahalia School of Engineering & Technology (APJKTU)