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  Published Paper Details:

  Paper Title

SMART WOMEN SAFETY SOLUTION USING AI & REAL-TIME LOCATION ANALYSIS

  Authors

  Mr. M. Jagadeesh, M.Tech,  S. P. Sai Srilekha,  Gopy Setty Sai Meghana,  Golla Indhu,  Belagal Meghana

  Keywords

Women safety, AR navigation, Real time location analysis, SOS, safe zones, security, AI, geolocation tracking, risk-level prediction.

  Abstract


The main objective of this project is to develop a "Smart Women Safety Solution using AI & Real-Time Location Analysis" to enhance the safety and security of the women in real-world scenarios. This system leverages Artificial Intelligence (AI) and real-time geolocation tracking to provide proactive safety measures, instant SOS alerts, and smart risk assessment capabilities. The solution includes key features such as SOS alerts, which notify emergency contacts or authorities during distress situations, risk level prediction based on location analysis, and real-time AR Safe Zones, which guide users to the nearest police stations or hospitals using OpenStreetMap. The integration of AI allows the system to dynamically assess safety levels based on various factors such as time, location, and historical crime data. This project utilizes Flask for backend processing, JavaScript for frontend interactions, and a SQLite database to store user information securely. The admin dashboard enables monitoring of registered users and ensures controlled access. By implementing this AI-powered safety solution, the project aims to empower women with instant security assistance, real-time decision-making support, and an overall safer environment in urban and rural areas. This system not only enhances personal safety but also contributes to the broader goal of creating smart, AI-driven solutions for crime prevention and emergency response.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2504374

  Paper ID - 281526

  Page Number(s) - d182-d186

  Pubished in - Volume 13 | Issue 4 | April 2025

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Mr. M. Jagadeesh, M.Tech,  S. P. Sai Srilekha,  Gopy Setty Sai Meghana,  Golla Indhu,  Belagal Meghana,   "SMART WOMEN SAFETY SOLUTION USING AI & REAL-TIME LOCATION ANALYSIS", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 4, pp.d182-d186, April 2025, Available at :http://www.ijcrt.org/papers/IJCRT2504374.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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