During December 2024, Unnati Chhabra developed six agent-oriented features across the whitfin/agno-docs and agno-agi/agno repositories, focusing on automation, personalization, and reproducible demonstrations. She engineered Python-based agents for research, image-to-text conversion, recipe generation, movie recommendations, travel planning, and personalized learning, integrating technologies such as ExaTools, GPT-4o, and the phi library. Her work emphasized structured outputs, knowledge base integration, and web scraping to enhance user guidance in domains like research, cooking, and travel. The features were delivered with supporting documentation and minor improvements, reflecting a strong grasp of AI agent development and practical tool integration within production codebases.