Age and Gender detection using python

Registration ID: IJNRD_219676

Published ID: IJNRD2404769

DOI: Click Here to Get

Aruna Devi.M , Sakthi Poojitha.M , Sahayariyasha.V , Shenbagam.E

OpenCV, Age estimation, Gender classification, TensorFlow, PyTorch, Feature extraction, Fine-tuning, Evaluation metrics, Accuracy analysis

This project revolves around age and gender detection through machine learning, finding applications in diverse fields like marketing, social research, and security. Leveraging Python's advancements, including TensorFlow, OpenCV, PyTorch, Keras, and scikit-learn, enhances code efficiency. By analyzing wrinkles, facial features, and other factors, it accurately discerns age, gender, and even religion from scanned images. Data collection involves over 10,000 labeled images extracted through Excel and CSV formats, contributing to model training. Preprocessing techniques like resizing, augmentation, and normalization enhance dataset quality and diversity. Feature extraction captures vital image characteristics, crucial for accurate detection. Pre-trained data models further refine efficiency and accuracy. Real-time applications in security and surveillance underscore its practical relevance. However, challenges such as facial feature variations require meticulous handling. Ethical considerations, including privacy safeguards and fair demographic analysis, are integral. Overall, this project merges image processing, machine learning, and data analysis, promising automated demographic attribute identification from visual content, with broad implications across industries.

Published Paper   E-Certificate

Aruna Devi.M, Sakthi Poojitha.M, Sahayariyasha.V, & Shenbagam.E (April-2024). Age and Gender detection using python. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), h661-h670. https://ijnrd.org/papers/IJNRD2404769.pdf

Volume 9 Issue 4, April-2024

Pages : h661-h670

Paper Reg. ID: IJNRD_219676

Published Paper Id: IJNRD2404769

Downloads: 000121983

Research Area: Information Technology 

Country: Tirunelveli, Tamil Nadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404769.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404769

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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Call For Paper - Volume 10 | Issue 10 | October 2025

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