Daily Archives: September 20, 2025

Authors: Rajendra Singh Kushwah, Satya Prakash Srivastava

Abstract: As the increases the demands of automobiles has cause increases the traffic and increases the number of accidents which shows road safety importance and this is happen because of lack of urgent emergencies facilities in our country , Vehicle accidents and casualty happen on road side should provide on the spot help and rescue as soon as possible . However some problem faces by rescue team to find the accident location. There is no proper communication and retrieve information instantly of the specific accident spot area. This paper proposed a smart and reliable IOT technology provide various features by which we can find instantly the actual accidental location by the help of actual geographic coordinate’s position of vehicle accidents occur. There are various sensors available to check the primary data for detecting accidents. These geographical data can be sent to nearest ambulance for medical assistance, this will save time to reach the rescue team to the accidental location and provide rescue to the injured person. In this paper a real time automobile tracking system via Google earth is introduced and a LifiLink app to find the nearest ambulance location near to vehicle accident spot . The system uses two main components, a transmitting embedded module to interface for vehicle location GPS and GSM devices in order to determine and send vehicle location and status information SMS .

Published by: vikaspatanker

Authors: Sanyam Jain, Amit Kumar, Prakash Mali, Khushal Bharat Shivade, Krishna Gutte

Abstract: Rapid digital change in the fashion and retail world is underway. Virtual try-on technologies are changing how people shop. However, these technologies are also bringing up issues like data privacy and security. This paper introduces Style Secure Zone, an AI-enabled framework for secure, contactless, and personalized shopping for clothing.While physical fitting rooms will still be necessary in traditional department stores, the development of Style Secure Zone will tackle hygiene issues and help retailers improve their operations by reducing wait times. AI-powered and algorithm-supported product recommendations provide thoughtful outfit suggestions based on natural traits, preferences, personal styles, and fashion trends. 3D renders are also created to improve fit and feel.K-Movement’s testing shows that the system boosts consumer confidence, reduces product re- turns, and helps retailers manage inventory challenges related to space availability. Additionally, user assessments showcase great enthusiasm for the integrated, private, and interactive shopping experience across the platform. The overall findings highlight the importance of privacy-oriented digital retail platforms and demonstrate that safe, AI-enabled solutions, like the Style Secure Zone, look to strengthen customer engagement, retailer perfor- mance, and ultimately define the future of intelligent fashion retail.

DOI: https://doi.org/10.5281/zenodo.17164456

 

Published by: vikaspatanker