ML

• Performed extensive data analysis and interpretation to understand patterns and trends. Developed proficiency in using YOLOv5 and related tools for object detection and tracking. Paper published in published in Atlantis Press presented in Osmania University in Telangana.

• Used Deep Learning algorithms ResNet50, InceptionV3, U-Net for tumor segmentation Accuracy of ResNet50 is 94.4%, InceptionV3 is 95.25%, U-Net is 99.58%. Predicted and segmented tumor on original MR images.

• Created a model to classify traffic signs. The CNN model has been trained on a GTSRB dataset that contains train images of 43 classes. Implemented using TensorFlow,Keras libraries for classification model.

Python

• I develop efficient and robust Python applications, optimized for performance and scalability.

• Designed vaiours projects in college in python using ML & AI alogorithms.

Web Develop

• I create responsive and user-friendly websites using HTML, CSS, Bootstrap and JavaScript.

• I ensure optimal website performance and design aesthetics across various devices and browsers. I developed UI/UX projects like food recipe websites and portfolios.