UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 9 | September 2025

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Published in:

Volume 12 Issue 9
September-2025
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2509350


Registration ID:
569471

Page Number

d365-d372

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Title

Gen-AI Powered Pancreatic-Tumour Detection Using Deep-Learning & Computer-vision

Abstract

Technological advancements have significantly transformed industries such as healthcare and education, offering more accessible services and innovative solutions for complex medical challenges. One such challenge is pancreatic tumor detection and management, which remains difficult due to late diagnosis and limited medical resources in underserved regions. This thesis presents PancreaticTumorAI, a web-based platform designed to improve awareness, screening, and care for pancreatic tumors. The system integrates deep learning models, generative AI, and modern web technologies to deliver an interactive space for tumor detection, patient guidance, and awareness.The platform includes key features such as AI-driven CT scan analysis, predictive analytics for tumor presence, a generative AI chatbot for real-time assistance, and a patient monitoring dashboard. It is developed using HTML, CSS, JavaScript, and Flask for cross-device compatibility and supports multilingual interfaces (English, Kannada, Urdu, Hindi) to ensure inclusivity. Additionally, the platform employs visual aids and gamification strategies to enhance engagement, particularly among elderly users. By combining technical innovation with social impact, PancreaticTumorAI provides a scalable and locally adaptable framework to address gaps in healthcare accessibility. The thesis discusses the design, implementation, and evaluation of the system, highlighting its potential to advance early tumor detection, support patients and caregivers, and contribute to equitable healthcare delivery in resource-constrained settings.

Key Words

PancreaticTumorAI, deep learning, generative AI, web-based platform, healthcare technology, medical imaging, X-ray analysis

Cite This Article

"Gen-AI Powered Pancreatic-Tumour Detection Using Deep-Learning & Computer-vision ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 9, page no.d365-d372, September-2025, Available :http://www.jetir.org/papers/JETIR2509350.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Gen-AI Powered Pancreatic-Tumour Detection Using Deep-Learning & Computer-vision ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 9, page no. ppd365-d372, September-2025, Available at : http://www.jetir.org/papers/JETIR2509350.pdf

Publication Details

Published Paper ID: JETIR2509350
Registration ID: 569471
Published In: Volume 12 | Issue 9 | Year September-2025
DOI (Digital Object Identifier):
Page No: d365-d372
Country: Bidar, Karnataka, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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