REAL TIME AGE AND GENDER PREDICTION USING PYTHON AND ML

REAL TIME AGE AND GENDER PREDICTION USING PYTHON AND ML

Sanskruti Mohite1, Apeksha Ransing2, Vedika Deshmukh3

1Final Year Student, Department of I.T, AISSMS’s Polytechnic, Pune, Maharashtra, India

2 Final Year Student, Department of I.T, AISSMS’s Polytechnic, Pune, Maharashtra, India

3 Final Year Student, Department of I.T, AISSMS’s Polytechnic, Pune, Maharashtra, India

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Abstract - Facial analysis, particularly age and gender estimation, is crucial in various intelligent applications. This study presents a CNN-based model for predicting age group and gender from single face images in real-world environments. The approach involves formulating age and gender classification as discrete annotations and training classifiers accordingly. A robust image preprocessing algorithm is devised to enhance model performance. Leveraging large-scale datasets facilitates effective training and generalization of the CNN model. Despite limited accurate labels, the proposed architecture demonstrates significant progress in face recognition using deep convolutional neural networks.

Key Words:  Facial analysis, CNN, age estimation, gender classification, image preprocessing, deep learning, face recognition.