Yusuf Mirza Çoban@yusuf_mirza_oban367

"This AI-powered analysis platform, developed to help businesses optimize their growth strategies and enable new entrepreneurs to make the most accurate decisions, is built using the IBM granite-3-8b-instruct language model. It automates data-driven decision-making processes, making strategic positioning for businesses possible. Today, many businesses fail due to poor location choices and insufficient market analysis. Existing businesses that want to open a new branch and entrepreneurs stepping into the business world struggle to make the right city and location decisions. Athena Idea aims to solve this critical problem by helping businesses make data-driven, informed decisions. Our project focuses on two main use cases: An entrepreneur with an existing business wants to open a new branch but lacks clear information about the most suitable location. On the other hand, an individual entering the business world wants to understand which business model would be most profitable in their city and which area would help them reach more customers. Athena Idea solves both of these problems, supporting the best business decisions. Our system uses IBM’s granite-3-8b-instruct model and also leverages mistralai/mixtral-8x7b-instruct-v01 and meta-llama/llama-3-2-3b-instruct models as supportive decision-making tools. The IBM granite instruct models, with their advanced natural language processing capabilities, interpret user inputs and conduct market analysis by extracting the most relevant data from OpenStreetMap. The recommendation mechanism works based on the Nash Equilibrium principle of Game Theory, aiming to optimize the customer access areas of similar businesses. This helps Athena Idea identify locations that maximize businesses' competitive advantages. Among the advantages offered by Athena Idea are data-driven strategic decision-making, benefiting from IBM Granite’s language processing power, location-based recommendations, and competitive analysis."

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