Gender Classification Using Deep Learning | CNN-Based IEEE Final Year Project with Code
🧑🦱👩🦰 Gender Classification Using Deep Learning | AI-Based IEEE Final Year Project
This project demonstrates a Convolutional Neural Network (CNN)-based deep learning model that classifies gender (male/female) from face images with high accuracy. By leveraging facial features and advanced transfer learning models, this project is ideal for applications like biometric verification, audience analytics, and smart surveillance.
📌 The system performs:
Face detection using OpenCV
Preprocessing (cropping, resizing, normalization)
Deep learning classification using EfficientNet, ResNet50, and VGG16
Model performance evaluation with accuracy, precision, recall, confusion matrix
A user-friendly Flask web interface for real-time gender prediction
💻 Tools & Technologies:
Python, TensorFlow, Keras
OpenCV for face extraction
CNN architectures (ResNet50, VGG16, EfficientNet, hybrid models)
Flask for backend | HTML + CSS + JS for frontend
🎓 Best For:
B.E, B.Tech, M.Tech, M.Sc, MCA final-year students
IEEE project submissions
Researchers working on computer vision and human-centered AI
AI developers exploring face-based classification systems
📦 What You’ll Get:
✅ Complete Source Code + Preprocessed Dataset
✅ IEEE Standard Project Report (Synopsis, PPT, Abstract)
✅ Flask Web App Interface
✅ End-to-End Guidance & Mentorship
✅ Customization Support
📲 Contact for Code, Documentation & Mentorship:
📞 +91-8088605682
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