shamas liaqat@shamas

StoryWise is an innovative platform designed to simplify and enhance the learning process by transforming complex scientific concepts into engaging narratives. Using the power of advanced AI, specifically the Falcon 180B model, our platform allows users to input any scientific term, script, paragraph or topic and generates a captivating story, or a sitcom that explains the concept in clear, relatable language. This approach not only makes learning more enjoyable but also improves comprehension by using analogies and simple language. Whether you're a student, a curious person, or someone who loves stories, StoryWise offers a unique way to understand science through the art of storytelling. Our platform aims to revolutionize education by making it more intuitive, engaging, and accessible to everyone.

Our goal is to design a Smart Nutrition Bot that integrates the latest research in nutrition science. In today's world, maintaining a healthy diet is essential for staying energetic and focused. This chatbot will serve as a personalized nutritionist, providing accurate, state-of-the-art advice and services free of charge, making advanced nutritional guidance accessible to all. The bot will respond to user prompts and, if the user provides detailed information about their background or specific considerations, it will generate more precise and targeted responses. How Model will generate a response? I have utilized IBM's Granite Model, which demonstrates high accuracy and throughput with low latency, while consuming only a fraction of GPU resources. The Granite-13B-Chat-v2 model, trained over 13 billion epochs, generates more accurate, reliable, and efficient responses. This bot features a conversational interface that is easy to use for everyone, offering personalized recommendations based on the latest research and an analysis of the user's condition provided through prompts. Future Enhancement:-We can also fine-tune the model for critical patients, focusing on research-based recommendations tailored to their specific needs. By combining this with personalized nutrition guidance, we can make the model more precise and specialized in nutrition-related data.We can enable the bot to learn from user feedback, allowing it to generate even more accurate responses in the future.