

Motivated and responsible student eager to apply academic knowledge in a professional environment. Demonstrates strong technical proficiency in software and applications. Proven ability to handle challenging tasks with focus and determination. Exhibits excellent time management and organizational skills. Committed to continuous learning and contributing effectively to team success.
GENDER DETECTION USING MACHINE LEARNING
Built a gender detection system using InceptionV3 and transfer learning, achieving high accuracy while addressing fairness bias and ethical considerations in computer vision.
• Designed and implemented a gender detection system using InceptionV3 CNN and transfer learning.
• Performed image preprocessing (resizing, normalization) and data augmentation to improve model generalization.
• Achieved high accuracy (up to 100%) with strong precision, recall, and F1-score.
• Evaluated model performance using confusion matrix, accuracy, precision, recall, and fairness metrics.
• Conducted bias and fairness analysis to ensure ethical and inclusive gender classification.