Sri Geetanjali Kota

Pre-final year student with practical experience in coding, debugging, and application testing. Proficient in problem-solving and possesses a solid understanding of software development principles. Demonstrated ability to enhance application functionality through innovative design and optimization strategies. Committed to applying technical knowledge and contributing effectively within dynamic development teams.

A.I IMAGE LABELER, 02/25, Integrated the Segment Anything Model (SAM) and YOLOv8 to automate image annotation., SAM was used for detailed segmentation, and results were enhanced with YOLOv8's object detection outputs. ZERO-SHOT DETECTION, 01/25, Used YOLO-World architecture to enable object detection without training on task-specific labels., Automated video annotation by processing video frames to generate bounding boxes and labels in real-time. LICENSE PLATE DETECTION, 12/24, Developed a pipeline to detect and read license plates from images and video using YOLOv8 and EasyOCR., YOLOv8 was employed to localize license plates, and EasyOCR extracted alphanumeric characters accurately. MULTI-CLASS TEXT CLASSIFICATION, 11/24, Built an LSTM-based model to classify consumer complaints into multiple predefined categories., Processed and tokenized textual complaint data, leveraging sequential modeling to capture contextual patterns for accurate classification.

• Sketching
• Badminton
• Sci-fi Books
• Rubik's Cube
• Solving Puzzles