
During March 2025, Abhinaya Palaparthi developed a suite of data preparation and annotation tools for the Object-Recognition-System__Infosys_Internship_Feb2025 repository, focusing on streamlining computer vision model training. She engineered Jupyter Notebooks in Python to automate dataset acquisition, exploratory data analysis, and annotation conversion from COCO to YOLO formats. Her work included robust data integrity checks, visualizations, and utilities for bounding box and category remapping, enabling reproducible pipelines and rapid experimentation. By integrating cloud storage handling and dataset management, Abhinaya reduced manual setup time and minimized errors, demonstrating depth in data engineering and practical application of computer vision and data analysis skills.
March 2025 monthly summary for Object Recognition System Infosys Internship: Delivered data preparation, exploration, and annotation tooling to streamline model training workflows, with robust dataset handling and easy experiment setup. Focused on practical business value by enabling reproducible data pipelines and faster iteration cycles.
March 2025 monthly summary for Object Recognition System Infosys Internship: Delivered data preparation, exploration, and annotation tooling to streamline model training workflows, with robust dataset handling and easy experiment setup. Focused on practical business value by enabling reproducible data pipelines and faster iteration cycles.

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