KHOJ: A Lost & Found and Safety Assistance System for Railway Passengers

Millions of people use trains every day as the main mode of public transit. Passengers must deal with issues including misplaced possessions, delayed medical assistance, and worries about the safety of women. In the absence of a systematic, realtime support system, these problems are resolved inefficiently and slowly. KHOJ is a web-based platform that integrates real-time medical help, a travel companion matching system for women's safety, and Lost & Found reporting to solve these issues. To guarantee organised complaint monitoring and resolution, the platform uses a user-friendly interface developed using Streamlit for frontend development and MySQL for backend data administration. KHOJ's role-based authentication system is a crucial component that distinguishes between volunteers, users, and railway employees, guaranteeing safe and effective complaint resolution. By matching passengers with available volunteers based on location and experience, the automatic volunteer assignment tool expedites the resolution of issues. Additionally, KHOJ offers real-time complaint monitoring, allowing consumers to keep an eye on the progress of their problems via an easy-to-use dashboard. This study examines the effects of KHOJ on improved passenger trust, community-driven involvement, and response time reduction. Railway travel is now safer and more convenient because to the system's notable improvements in handling lost item instances, medical crises, and security issues. AI-powered lost item recognition, GPS-based volunteer tracking, and direct communication with railway authorities for quicker reaction times are examples of future improvements.

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-03-05
DOI
https://doi.org/10.22214/ijraset.2025.67196
Primary Topic
Risk and Safety Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

KHOJ: A Lost & Found and Safety Assistance System for Railway Passengers

Durvesh Sanjay Futak
International Journal for Research in Applied Science and Engineering Technology
Risk and Safety Analysis
article

KHOJ: A Lost & Found and Safety Assistance System for Railway Passengers

Durvesh Sanjay Futak
article en

Abstract

Millions of people use trains every day as the main mode of public transit. Passengers must deal with issues including misplaced possessions, delayed medical assistance, and worries about the safety of women. In the absence of a systematic, realtime support system, these problems are resolved inefficiently and slowly. KHOJ is a web-based platform that integrates real-time medical help, a travel companion matching system for women's safety, and Lost & Found reporting to solve these issues. To guarantee organised complaint monitoring and resolution, the platform uses a user-friendly interface developed using Streamlit for frontend development and MySQL for backend data administration. KHOJ's role-based authentication system is a crucial component that distinguishes between volunteers, users, and railway employees, guaranteeing safe and effective complaint resolution. By matching passengers with available volunteers based on location and experience, the automatic volunteer assignment tool expedites the resolution of issues. Additionally, KHOJ offers real-time complaint monitoring, allowing consumers to keep an eye on the progress of their problems via an easy-to-use dashboard. This study examines the effects of KHOJ on improved passenger trust, community-driven involvement, and response time reduction. Railway travel is now safer and more convenient because to the system's notable improvements in handling lost item instances, medical crises, and security issues. AI-powered lost item recognition, GPS-based volunteer tracking, and direct communication with railway authorities for quicker reaction times are examples of future improvements.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(3)
Openalex Percentile: Top 96%
Risk and Safety Analysis
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.

KHOJ: A Lost & Found and Safety Assistance System for Railway Passengers — Durvesh Sanjay Futak · International Journal for Research in Applied Science and Engineering Technology (2025) | TGRS Research Map | TGRS