Subhan Liaqat@subhan

Traditional sales and marketing approaches are becoming less effective in the digital age. Businesses struggle to adapt to rapidly changing market conditions and consumer behaviors. The vast amount of data available is overwhelming, and companies often find it challenging to extract actionable insights. This results in missed opportunities and inefficient strategies that don't resonate with target audiences. BuroTonic addresses these challenges head-on by leveraging AI to provide precise client and market strategies. Our platform's highly adaptive virtual agents analyze vast datasets to generate detailed sales strategies and consumer profiles in real-time. This enables businesses to make informed decisions quickly, adapt strategies on the fly, and stay one step ahead of the competition. Highly Adaptive Agents: Tailored virtual agents that evolve with your business needs, offering personalized sales and marketing strategies. One-Click Deployment: Effortless cloud deployment, ensuring BuroTonic is scalable and accessible, regardless of your business size.Dynamic Instructions: Input your objectives, and watch as BuroTonic's agents refine their strategies based on real-time market feedback. Business Intelligence: Deep, actionable insights designed specifically for enhancing business intelligence and operational efficiency. Market Opportunity: The global business intelligence market is expected to reach unprecedented levels in the coming years, with a significant portion driven by AI and machine learning technologies. BuroTonic is perfectly positioned to capture a substantial share of this market, offering unparalleled value to businesses seeking to leverage AI for competitive advantage.

Incorporating the HHEM Vectara RAG, our project sheds light on the impact of query structuring on sensitivity, with the goal of minimizing medical inaccuracies and enhancing patient care safety. This endeavor has led to the development of four pivotal components: Synthetic Data Custom GPT: This element is tasked with generating artificial medical data, thereby expediting the testing procedures. Data Query Custom GPT: Through the use of a RAG system, this component retrieves synthetic data and applies various transformations. These alterations enable us to assess the data's vulnerability to inaccuracies. HHEM-Vectara Query Tuner: This tool is designed to evaluate the transformed data, determining how adjustments to query structure influence the likelihood of errors. Agent Model Evaluation: This phase involves the scrutiny of mixed normal and specific models, including mixtral normal, mixtral crazy, gemini, phi2, and zephyr, to gauge the impact of query modifications on the precision of results. Our software serves as a crucial experimental platform, providing invaluable insights into how even minor modifications and model changes can significantly affect the retrieval of medical data.

GPT Dogy's walk generator addresses the challenge many dog owners face: the monotony of daily walks leading to boredom and a lack of creativity. By tailoring routes to a dog's age and energy level, and planning for enhancements like heat, pollution peaks, traffic, and specific regulations, Dogy ensures each walk is safe and unique. Recognizing that dogs often drag on the leash due to repetitive routes, Dogy integrates training exercises to stimulate and entertain, making walks more engaging for both the dog and owner. A more stimulated dog means less leash dragging. This innovative approach keeps walks interesting, promotes better leash behavior, and looks forward to incorporating environmental and urban considerations for optimal safety and enjoyment.