AI-Powered Healthcare Monitoring for Tumor Identification and Classification

Author(s)	Ms. PRIYADHARSHINI S, Ms. PRABHANJANI R, Ms. NITHYASHREE G, Prof. NARMADHA B
Country	India
Abstract	This article describes an integrated robot-based healthcare monitoring platform for identifying and classifying tumors using deep learning and conversational AI. The proposed model combines the classification of images to enable not just detection of disease, but also web-based, explainable knowledge using chatbots to provide context. Experimental evaluation of the platform demonstrates promising classification accuracy, verb retrieval, and context responses. The findings of this research demonstrate how AI models can be easily integrated with conversational agents in healthcare and represent a potential step towards improved systems for diagnostic support.
Keywords	Tumor Classification, Deep Learning, ResNet152V2, RAG, FAISS, LLaMA, Medical Chatbot, Ngrok.
Field	Engineering
Published In	Volume 7, Issue 5, September-October 2025
Published On	2025-10-25
DOI	https://doi.org/10.36948/ijfmr.2025.v07i05.58535

About IJFMR Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us		+91-9687-828-838	editor@ijfmr.com

International Journal For Multidisciplinary Research