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“Real Estate Explorer: AI-Driven Predictions and Data Analytics”

Prof. S. P. Salunkhe, Dhiraj Gosavi, Himanshu Patil, Saurav Patil, Chetan Chaudhari, Bhupesh Chaudhari

Abstract


In this research paper, we look at how artificial intelligence (AI) and data analysis are changing the real estate field. We all agree that these new tools are making predictions more accurate, improving how properties are valued, and changing how decisions are made. The paper starts with an introduction that shows how important AI and analytics are becoming in real estate. We then talk about new technologies like machine learning and neural networks, focusing on how they help predict market trends. Each of us worked together to assess important data analysis methods, including using big data, processing information in real-time, and tools for predicting outcomes, which help people in the industry make better choices. Through several case studies, we show how these technologies are used in both homes and businesses, highlighting their real benefits. We also discuss ethical issues, like bias in algorithms and privacy of data, stressing the need for responsible management and regulation. Lastly, we look at the limits of current use and suggest future research paths to ensure AI and data analytics are used ethically and effectively in real estate.


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References


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