International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 7, Issue 2 (March-April 2025) Submit your research before last 3 days of April to publish your research paper in the issue of March-April.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 7 Issue 2
March-April 2025

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Digi_Sanjeevani: A Unified AI-Driven Healthcare Platform for Smart Diagnosis, Consultation, and Medical Insight

Author(s) Mr. Utkarsh Upadhyay, Mr. Shashwat Mani Tripathi, Mr. Harsh Bajpai, Mr. Praful Pandey
Country India
Abstract Access to timely, accurate, and affordable healthcare remains a significant challenge, especially in developing nations like India. The recent advancements in Artificial Intelligence (AI) and web technologies present a unique opportunity to build integrated digital healthcare solutions that can overcome traditional barriers of distance, availability, and awareness. In this paper, we present Digi_Sanjeevani, an AI-powered web-based healthcare platform designed to provide a holistic health experience. It integrates features such as an AI-driven symptom checker, medical report analyzer, multilingual health chatbot, real-time hospital locator using OpenStreetMap, and doctor consultation booking system with video conferencing capabilities. The backend is developed using FastAPI, and the frontend is built with React.js and Tailwind CSS, ensuring a modular and scalable architecture. Gemini 2.0 Flash API is used for natural language processing and medical reasoning, while MongoDB serves as the database for storing patient records and AI-generated insights. Initial prototype results show promising user experience and effective health recommendations, especially for first-line diagnostic support. Digi_Sanjeevani has the potential to bridge the healthcare gap between rural and urban populations by leveraging AI, multilingual accessibility, and open data.
Keywords AI in Healthcare, FastAPI, Symptom Checker, Medical Report Analysis, Doctor Booking, Telemedicine, OpenStreetMap, Gemini API, MongoDB, Multilingual Chatbot
Field Engineering
Published In Volume 7, Issue 2, March-April 2025
Published On 2025-04-16
DOI https://doi.org/10.36948/ijfmr.2025.v07i02.41695
Short DOI https://doi.org/g9f4wj
View / Download PDF File

Share this



E-ISSN 2582-2160
CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJFMR DOI prefix is
10.36948/ijfmr

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 7 Isu 2Cover Page Vol 7 Isu 1Cover Page Vol 6 Isu 6

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

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