MediSense AI – Smart Health Analysis System

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Open Access

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Notice

nThis is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.n

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Year : 2025 [if 2224 equals=””]30/09/2025 at 2:57 PM[/if 2224] | [if 1553 equals=””] Volume : 14 [else] Volume : 14[/if 1553] | [if 424 equals=”Regular Issue”]Issue : [/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] 03 | Page :

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    Sapna Kumari, Rakesh Dhar, Mukesh Kumar,

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  1. Student, Student, Student, Department of Computer Applications Echelon Institute of Technology Faridabad, Department of Computer Applications Echelon Institute of Technology Faridabad, Echelon Institute of Technology Faridabad, Haryana, Hariyana, Hariyana, India, India, India

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Abstract

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nMediSense AI is a revolutionary health analysis system that empowers users by transforming complex medical data into understandable insights. This platform utilizes advanced technologies, particularly natural language processing and machine learning, to make intricate medical terminologies accessible to individuals without a healthcare background. Leveraging Llama 3, a cutting-edge AI model developed by Meta AI, the system can analyze various forms of medical data, including the ability for users to upload medical images and PDF documents. For the purpose of extracting text from scanned documents and images, a software tool, Tesseract OCR is used, which uses a machine learning algorithm to analyze them. Upon processing these inputs, the platform generates AI-driven results and personalized health recommendations, reinforcing the user’s understanding of their health conditions. The backend framework, built with either FastAPI or Flask, efficiently manages user requests and integrates seamlessly with a dynamic frontend that employs HTML5, CSS3, and TailwindCSS for an engaging user experience. Users can interact directly with the system through a user-friendly interface, facilitating easy uploads and queries. Local deployments are supported via Ollama CLI tools, allowing for agile testing and iteration. Key libraries such as requests and essential tools like Postman and Docker enhance the development experience. MediSense AI ultimately serves as a valuable resource, equipping patients and healthcare providers with actionable insights and fostering better health management through the intelligent analysis of medical information.nn

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Keywords: Artificial Intelligence, Natural Language Processing, Medical Report Analysis, Machine Learning, Healthcare System, Disease Prediction, Tesseract OCR, Personalized Recommendations.

n[if 424 equals=”Regular Issue”][This article belongs to Research and Reviews : A Journal of Medical Science and Technology ]

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[/if 424][if 424 equals=”Special Issue”][This article belongs to Special Issue under section in Research and Reviews : A Journal of Medical Science and Technology (rrjomst)][/if 424][if 424 equals=”Conference”]This article belongs to Conference [/if 424]

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How to cite this article:
nSapna Kumari, Rakesh Dhar, Mukesh Kumar. [if 2584 equals=”][226 wpautop=0 striphtml=1][else]MediSense AI – Smart Health Analysis System[/if 2584]. Research and Reviews : A Journal of Medical Science and Technology. 30/09/2025; 14(03):-.

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How to cite this URL:
nSapna Kumari, Rakesh Dhar, Mukesh Kumar. [if 2584 equals=”][226 striphtml=1][else]MediSense AI – Smart Health Analysis System[/if 2584]. Research and Reviews : A Journal of Medical Science and Technology. 30/09/2025; 14(03):-. Available from: https://journals.stmjournals.com/rrjomst/article=30/09/2025/view=0

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[if 424 not_equal=””]Regular Issue[else]Published[/if 424] Subscription Original Research

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Volume 14
[if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] 03
Received 10/07/2025
Accepted 22/08/2025
Published 30/09/2025
Retracted
Publication Time 82 Days

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