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We took a close look at Lucknow’s real estate market, digging into ten years of data across 87 different localities to see if we could predict property prices using a machine learning approach. A big part of our work involved carefully selecting the most influential factors and building the best possible predictive model for the job [5]. Our findings show that the model is remarkably accurate, which is great news for buyers, sellers, and investors trying to get a clearer picture of future property values. Ultimately, this information can help people make smarter, more confident decisions. The study also highlighted just how important it is to understand the market’s natural cycles; knowing when to act can make all the difference for investors, especially when navigating the challenges of a real estate downturn [3].

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Real Estate Price Prediction Using Machine Learning for Lucknow City

  • 会议论文

  • 发表日期：

    2026年

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  • Aman Sharma,
  • Hrihanshi Sharma

摘要

We took a close look at Lucknow’s real estate market, digging into ten years of data across 87 different localities to see if we could predict property prices using a machine learning approach. A big part of our work involved carefully selecting the most influential factors and building the best possible predictive model for the job [5]. Our findings show that the model is remarkably accurate, which is great news for buyers, sellers, and investors trying to get a clearer picture of future property values. Ultimately, this information can help people make smarter, more confident decisions. The study also highlighted just how important it is to understand the market’s natural cycles; knowing when to act can make all the difference for investors, especially when navigating the challenges of a real estate downturn [3].