Designed and developed a web application that utilizes Hugging Face’s Large Language Models (LLMs) to automate the creation of engaging comic content from text inputs, streamlining the storytelling process. This innovative platform transforms ideas into visually compelling comic narratives with minimal effort, featuring AI-generated storytelling that converts text prompts into structured comic scripts with dialogues and narratives, character and scene generation that automatically creates diverse characters and dynamic settings based on input descriptions, customizable themes and styles to support various art styles and storytelling genres, and interactive editing that enables users to refine AI-generated content for greater creative control.

Developed and optimized an AI assistant for the agricultural sector, leveraging Groq Cloud and LLaMA 3.1 to provide expert insights on crop management, soil health, and precision farming. Fine-tuned using diverse agricultural datasets, the model ensures accurate and context-aware recommendations for farmers and agronomists. It features intelligent crop advisory that offers data-driven guidance on planting, irrigation, and fertilization strategies, soil health analysis to assess conditions and suggest improvements for better yield and sustainability, precision farming insights that utilize AI-powered analytics to enhance productivity and reduce resource waste, and multilingual, context-aware support to deliver region-specific agricultural knowledge, making it accessible to farmers worldwide.