The AI Resume Analyzer is a groundbreaking AI-driven platform drafted to give job seekers an important array of tools and insights. At its core, this design offers a sophisticated resume analysis system that delivers personalized feedback, streamlining the process of tailoring resumes for specific job purposes and companies. This research paper presents an approach to analyze resumes by integrating MapReduce for efficient preprocessing and Feature Engineering, in combination with a machine learning model (K-Nearest Neighbors (KNN) Classifier) for job predictions. In this paper, resume dataset is being described briefly which contain the resume information related to several job roles, after this there is discussion about how map reduce can be used for preprocessing related task and parallel processing, followed by comparative analysis of the MapReduce on different subset of data. Finally, there is the discussion about how KNN is being used to make job predictions and analysis of the results obtained.