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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (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)
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Issue: December 2025
Volume 10 | Issue 12
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19459
Article Published : 8041
Total Authors : 21252
Total Reviewer : 769
Total Countries : 145
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Published Paper Details
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| Paper Title: | Age and gender detection using multi model integration |
| Authors Name: | Dr.D.Satheesh Kumar , Yogeshwaran S , Rahul PG , Santhosh Kumar N , Mustafa N |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_202703
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| Published Paper Id: | IJRTI2504174 |
| Published In: | Volume 10 Issue 4, April-2025 |
| DOI: | |
| Abstract: | Here's a concise abstract for your Age and Gender Detection project: --- Abstract: This project focuses on the implementation of an age and gender detection system using deep learning and computer vision techniques. Leveraging pre-trained convolutional neural networks (CNNs) and OpenCV’s deep learning module (cv2.dnn), the system can accurately predict the age group and gender of individuals in real-time using webcam input. The face detection model identifies faces in the video stream, and the extracted face regions are passed through separate networks trained for age and gender classification. The results are then displayed on the screen, providing a user-friendly visualization. This system has potential applications in various fields including retail analytics, security, targeted advertising, and human-computer interaction. --- Let me know if you want it shortened or tailored for a specific audience (e.g., academic report, tech fest, resume). |
| Keywords: | Age and gender detection, Machine Learning, AI |
| Cite Article: | "Age and gender detection using multi model integration", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.b596-b600, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504174.pdf |
| Downloads: | 000352 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID: IJRTI2504174
Registration ID:202703
Published In: Volume 10 Issue 4, April-2025
DOI (Digital Object Identifier):
Page No: b596-b600 Country: coimbatore, Tamilnadu , India Research Area: Science Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504174 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504174 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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