Intern at Esperanto Technologies| MS CSE @San Jose State University  |  Ex-Software Engineer @Youngsoft India  |  IIITS

Sivakrishna Yaganti  • Peerlist

• In a significant initiative to enhance public health safety measures, I developed a robust face mask identification model. This project was particularly challenging and rewarding, as it involved analyzing images from large groups and videos to determine if individuals were wearing masks properly.
• Explored various other classification models, including SVM and Random Forest, but found that the CNN model outperformed others in terms of accuracy and efficiency.
          • Technologies Used: TensorFlow, Keras for model building, and the Adam Optimizer for efficient training.

Face Mask Identification

Statistical Data Analysis

Cosine Similarity

Data Handling

Image Processing

Regularization Techniques

Competitive Analysis

Software Development Life Cycle (SDLC)

Cloud Computing

Automation