ResQlink: An Emergency Response WebApp

ResQlink Emergency Response WebApp is a web-based platform that is designed for emergency reporting, response coordination, and user management. While technologies like two-way communication, dynamic tracking, ML-based hazard detection, and AI agents have been implemented there are limitations.This frontend is built with the help of React with TypeScript and Material-UI for UI components, while the backend uses Flask with MongoDB for data storage. This entire model helps in secure authentication with the help of JWT and bcrypt, that gives surety on role-based access for users, responders, and admins. RESTful APIs eases smooth communication between frontend and backend, while NLP (NLTK) helps in text classification for prioritizing emergencies. Geolocation services like OpenStreetMap and Nominatim are included for accurate location tracking. The platform makes sure that theres data security, real-time updates, and efficient emergency handling, making it a good system for crisis management.

Authors

Institutions

Publication Details

Published
2025-06-20
DOI
https://doi.org/10.1109/conit65521.2025.11167160
Primary Topic
Service-Oriented Architecture and Web Services
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

ResQlink: An Emergency Response WebApp

T Keerthika, Simi Meenakshy, Arya Palackal Shijish, A Kritika et al.
Service-Oriented Architecture and Web Services
article

ResQlink: An Emergency Response WebApp

T Keerthika, Simi Meenakshy, Arya Palackal Shijish, A Kritika, Riya Rajeev
article en

Abstract

ResQlink Emergency Response WebApp is a web-based platform that is designed for emergency reporting, response coordination, and user management. While technologies like two-way communication, dynamic tracking, ML-based hazard detection, and AI agents have been implemented there are limitations.This frontend is built with the help of React with TypeScript and Material-UI for UI components, while the backend uses Flask with MongoDB for data storage. This entire model helps in secure authentication with the help of JWT and bcrypt, that gives surety on role-based access for users, responders, and admins. RESTful APIs eases smooth communication between frontend and backend, while NLP (NLTK) helps in text classification for prioritizing emergencies. Geolocation services like OpenStreetMap and Nominatim are included for accurate location tracking. The platform makes sure that theres data security, real-time updates, and efficient emergency handling, making it a good system for crisis management.

Amrita Vishwa Vidyapeetham (IN)
Openalex Percentile: Top 62%
Service-Oriented Architecture and Web Services
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

ResQlink: An Emergency Response WebApp — T Keerthika, Simi Meenakshy, et al. · (2025) | TGRS Research Map | TGRS