VIT CODEAPEX 2025
Problem Statement Title : Ambulance Tracking and Health Monitoring App
Theme : Smart Education
PS Category : Software
Team Name : MediNova
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Medi
nova
Critical Delays:
In life-threatening emergencies, every second is crucial. Current systems often suffer from delays in ambulance dispatch, inefficient navigation through traffic, and slow patient-to-hospital handoff.
Information Gap:
Hospitals frequently lack vital patient information before an ambulance arrives. This information gap prevents them from adequately preparing for the patient's specific needs, such as readying a specialized surgical team, a trauma bay, or specific medical equipment.
Fragmented Communication:
Communication between paramedics, dispatch centers, and hospital staff often relies on disjointed and manual methods like radio or phone calls. This can lead to miscommunication, repetition, and a lack of real-time situational awareness for all parties involved.
Medi
Nova
Detailed Idea
Fig. Detailed System Overview
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SQL
Python
Backend Development
JavaScript
HTML / CSS
Building User Interface
Database Management
Frontend Development
Handling User Interactions
AI Model Implementation
NPL
Technical Language
NLP
Feedback Collection
Personality Assessment
BERT based Text Classification
VADER / Text Blob
Tokenization, Lemmatization,
Named Entity Recognition
BERT
Algorithms
Technical Approach
Medi
Nova
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Libraries
Frontend (User Interface)
Backend (API & Server)
Data Processing & Preprocessing
Natural Language Processing
React.js
Flask / Django
Scikit - Learn
SpaCy
FEASIBILITY AND VIABILITY
Strategies
Analysis of Feasibility
Technological Feasibility :
Operational Feasibility:
The core technologies (GPS, cloud computing, mobile frameworks, WebSockets) are mature, well-documented, and widely adopted.
This requires comprehensive training programs for paramedics and hospital staff and a seamless integration plan with existing hospital information system (IHS)
Potential Challenges and Risks
Data Privacy : Algorithm Bias :
Scalability :
Managing sensitive user data ( personal history, policy name).
RiskofAI reinforcing societal biases in ambulance recommendations.
Handling large user bases without compromising performance.
Utilize cloud-based load balancers, redundant servers, and failover mechanisms to achieve high availability (e.g., 99.99% uptime).
Pilot Program First:
Build For The User:
Subscription-Based Growth:
Launch a trial with a local hospital or EMS service here in the Pune/Mumbai region.
Involve paramedics and hospital staff directly in the design process to create an app that is simple and genuinely helpful for them. Follow up with excellent hands-on training to ensure everyone is confident using it.
Offer the platform as a subscription service (SaaS) to hospitals and ambulance providers. This creates a steady revenue stream and allows the system to be easily scaled up from a local service to a national one.
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System Downtime :
Medi
Nova
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IMPACT AND BENEFITS
Potential Impact on Target Audience
Saves Lives: By minimizing delays and closing the information gap, it directly impacts the most critical factor in emergency time.
Increases Efficiency: Optimizes ambulance dispatch, routing, and leading to cost savings and better service.
Enhances Communication: Creates a single source of truth, eliminating misunderstandings and ensuring all stakeholders are synchronized.
For Patients: Reduced wait times and better-prepared medical teams directly and improved long-term health outcomes.
For Paramedics: A streamlined, intuitive tool reduces cognitive load and allows them to focus entirely on patient care.
For Hospitals: Real-time data enables proactive resource allocation and significantly reduces patient handover time.
Benefits of the Solution
Every Life Counts
Medi
Nova
Sr. No
Author
Title
Publication
Year
Link
1)
5)
3)
2)
4)
Shalini S, C. Nandini ,Geetha Shree R, M. Yasaswini , Neetha Jain, Anusha P
1Aiswarya S, 2Sowndhar R, 3Roja M, 4S.P.Sivagnana Subramanian
Prof. T. H. Mohite, Nikita Bharat Sutar, Pratik Dushyant Patil
Ambulance Tracking with Patient Health Monitoring System Using GPS and GSM Module
: A Survey On Smart Ambulance Routing Through Green AI and Edge Intelligence
SMART AMBULANCE ROUTING SYSTEM
Ambulance route optimization in a mobile ambulance dispatch system using deep neural network (DNN)
Divya D. Nanwani , Puja R. Kshirsagar, Bhavana P. Kawalkar, Pritish Deshmukh
Ambulance Tracking and Patient Health Monitoring Using GPS and GSM
scientific reports
IJSET
IJRPR
IJCRT
IJETER
2024
2015
2017
2023
2025
www.ijrpr.com I
https://doi.org/10.1038/s41598-025-95048-0
www.ijcrt.org
www.ijeter.everscience.org
RESEARCH AND REFERENCES
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Selvan, c. Anwar , Basha H. , Naveen , Shaikh Thasleem