International Scientific Journal of Engineering and Management

An International Scholarly || Multidisciplinary || Open Access || Indexing in all major Database & Metadata
The journal follows the UGC Guidelines and is evaluated for inclusion in the Web of Science
ISSN: 2583-6129

Impact Factor: 8.072

Medi Assist: Your 24/7 Virtual Medical and Nutrition Helper

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Published 10 April 2026
Updated 10 April 2026

Medi Assist: Your 24/7 Virtual Medical and Nutrition Helper

 

 

 

Mr. T Kataiah Assistant
Professor Department of AI&DS Annamacharya Institute of Technology and
SciencesTirupati-517520,A.P.Kata09573@gmail.com
A Leela Mohan Reddy UG
Scholar Department of AI&DSAnnamacharya Institute ofTechnology and Sciences
Tirupati-517520 A.P.leelareddy42@gmail.com
K Anusha UG Scholar,
Department of AI&DSAnnamacharya Institute ofTechnology and Sciences,
Tirupati-517520, A.P.anushakondati7@gmail.com
M S Mohammad Abu Umar
UG Scholar, Department ofAI&DS Annamacharya Instituteof Technology and Sciences,
Tirupati-517520, A.P.abuumar394@gmail.com

P Ayesha Siddiqua

UG Scholar,Department of AI&DSAnnamacharya Institute ofTechnology and Sciences,
Tirupati-517520, A.P.ayeshasiddiquap2004@gmail.com

 

 

 

Abstract- The role of Artificial Intelligence in the health sector is one of the major factors that have led to the availability of health data and nutrition. The proposed project is related to creating a web-based application using Artificial Intelligence, which would provide high-quality query answering services relatedto the medical field and nutrition analysis. The project  is created using the Django framework, Google GeminiLarge Language Models, and Retrieval-Augmented  Generation (RAG) technology. The project uses the input of medically edited documents using vectorembeddings, where data retrieval is done using cosine  similarity search. This reduces hallucinations, providing accurate results. The project is also related to computer vision, where image processing is done related to food, and the estimation of calories,
macronutrient breakdown, and health ratings is done. Health profiling is done using dynamic health profiling, where rate controlling and feedback are done related to users. The project is related to a high opportunity to promote credible health and health care.

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