Journal IJCRT UGC-CARE, UGCCARE( ISSN: 2320-2882 ) | UGC Approved Journal | UGC Journal | UGC CARE Journal | UGC-CARE list, New UGC-CARE Reference List, UGC CARE Journals, International Peer Reviewed Journal and Refereed Journal, ugc approved journal, UGC CARE, UGC CARE list, UGC CARE list of Journal, UGCCARE, care journal list, UGC-CARE list, New UGC-CARE Reference List, New ugc care journal list, Research Journal, Research Journal Publication, Research Paper, Low cost research journal, Free of cost paper publication in Research Journal, High impact factor journal, Journal, Research paper journal, UGC CARE journal, UGC CARE Journals, ugc care list of journal, ugc approved list, ugc approved list of journal, Follow ugc approved journal, UGC CARE Journal, ugc approved list of journal, ugc care journal, UGC CARE list, UGC-CARE, care journal, UGC-CARE list, Journal publication, ISSN approved, Research journal, research paper, research paper publication, research journal publication, high impact factor, free publication, index journal, publish paper, publish Research paper, low cost publication, ugc approved journal, UGC CARE, ugc approved list of journal, ugc care journal, UGC CARE list, UGCCARE, care journal, UGC-CARE list, New UGC-CARE Reference List, UGC CARE Journals, ugc care list of journal, ugc care list 2020, ugc care approved journal, ugc care list 2020, new ugc approved journal in 2020, ugc care list 2021, ugc approved journal in 2021, Scopus, web of Science.
How start New Journal & software Book & Thesis Publications

INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)

International Peer Reviewed & Refereed Journals, Open Access Journal

IJCRT Peer-Reviewed (Refereed) Journal as Per New UGC Rules.

ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013

Call For Paper - Volume 14 | Issue 3 | Month- March 2026

Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 7.97 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(CrossRef DOI)

Submit Your Paper
Login to Author Home
Communication Guidelines

WhatsApp Contact
Click Here

  Published Paper Details:

  Paper Title

AI-Driven Women Safety Analytics: A Proactive Threat Detection System

  Authors

  PRERANA V RAO,  KUSUMITHA P,  SAMPADA VIKRANT KABULE,  HIMANSU SEKHAR ROUT

  Keywords

Sentiment analysis, partitioning dataset, parallel processing, combining results.

  Abstract


Women's safety in public spaces should not calculate on chance or introductory security styles traditional tools like CCTV cameras and details generally respond after an incident happens they do not stop problems from being these styles constantly warrant the capability to predict risks in real time this creates a big gap in safety plans that concentrate only on replying as technologies like artificial intelligence machine knowledge computer vision and the internet of goods meliorate snappily were moving toward smarter security systems these new systems can snappily spot possible troubles notice unusual conduct and automatically start safety procedures using these tools makes safety measures more flexible and quick to respond they can advise police and other askers right down indeed helping to avoid detriment before it occurs this composition introduces the a powered women's safety analytics system this system is designed to learn from its surroundings understand gets patterns and take fast safety conduct a pivotal part of this system is its capability to fete gender through deep knowledge this helps descry strange trends like a woman alone in a busy area or an unlooked-for crowd forming which could gesture a safety concern the system also uses special discovery styles like autoencoders and one- class SVMs along with disguise estimation tools analogous as open disguise and disguise net these tools anatomize how people move and stand they can identify movements that might mean someone is in trouble or feeling uncomfortable allowing for quick help unlike aged systems that need people to oversee them all the time this ai predicated system improves trouble discovery and waves up contact with police it also has a new point gesture grounded SOS signals sometimes women in pitfall can not press a fear button or make a call the system can recognize specific moves body signals or voice cues that show torture deep knowledge algorithms trained to descry urgency in speech can shoot cautions automatically indeed without physical contact this provides a quick and hands-free way to call for help the system also uses prophecy tools that anatomize formerly crime data cover current situations and produce heatmaps of risks this helps authorities see implicit troubles before problems be insulation and fairness are truly important particular data is kept safe with encryption and the system is erected to avoid bias its thing is to meliorate safety without violating individual rights or insulation.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2505246

  Paper ID - 285388

  Page Number(s) - c177-c186

  Pubished in - Volume 13 | Issue 5 | May 2025

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  PRERANA V RAO,  KUSUMITHA P,  SAMPADA VIKRANT KABULE,  HIMANSU SEKHAR ROUT,   "AI-Driven Women Safety Analytics: A Proactive Threat Detection System", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 5, pp.c177-c186, May 2025, Available at :http://www.ijcrt.org/papers/IJCRT2505246.pdf

  Share this article

  Article Preview

  Indexing Partners

indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
Call For Paper March 2026
Indexing Partner
ISSN and 7.97 Impact Factor Details


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


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

Providing A digital object identifier by DOI.org How to get DOI?
For Reviewer /Referral (RMS) Earn 500 per paper
Our Social Link
Open Access
This material is Open Knowledge
This material is Open Data
This material is Open Content
Indexing Partner

Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 7.97 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer