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@article{198892,
        author = {Mr. E. Subramanian and Mrs.Deepthi Nair.P and Ms. Nikitha and Ms. Persiya G and Mr. Rohit R},
        title = {AGENTIC AI DRIVEN PREDICTIVE MAINTANACE},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {11042-11047},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=198892},
        abstract = {Career selection is one of the most critical decisions for students. Many students struggle to identify suitable career paths due to lack of proper guidance and analysis of their academic performance. This project presents the design and development of an AI-Based Personal Career Guidance System that analyzes academic records and recommends suitable career paths using machine learning techniques.
The proposed system allows users to upload academic documents such as marksheets from school and college. Using Optical Character Recognition (OCR) technology, the system extracts subject names and marks from the uploaded documents. The extracted data is processed and analyzed using machine learning algorithms such as Random Forest or XGBoost to predict appropriate career options based on academic performance patterns.
In addition, the system automatically generates a professional resume in .docx format using the extracted academic information and predicted career objectives. The system is implemented as a web application using Python Flask, SQL database, machine learning models, and OCR technologies. This solution provides an intelligent platform that helps students understand their strengths and receive data-driven career guidance.},
        keywords = {Machine Learning, Career Guidance System, OCR, Flask, Resume Generation, Academic Data Analysis.},
        month = {April},
        }