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Inspiration
we set out to build a deep learning model that can accurately predict a person’s age and gender from X-ray images.
What it does
Age_Gender_by_XRay is an AI-powered tool that analyzes X-ray images to determine a patient’s age and gender. By leveraging deep learning, the model provides fast and accurate predictions, which can help in demographic studies, forensic investigations, and personalized treatment planning.
How we built it
Dataset Preparation: We sourced and preprocessed X-ray datasets with labeled age and gender attributes. Model Selection: We experimented with deep learning architectures like ResNet, EfficientNet, and DenseNet for feature extraction. Training & Optimization: The model was trained using TensorFlow/Keras with techniques such as data augmentation and transfer learning to improve accuracy. Integration: We designed a user-friendly interface using Flask for visualization and testing.
Challenges we ran into
Bias & Fairness: Balancing age and gender representation in the dataset to avoid biased predictions.
Accomplishments that we're proud of
Successfully built and fine-tuned a deep learning model capable of predicting age and gender from X-rays.
What we learned
Advanced techniques in medical image processing and deep learning.
What's next for Age_Gender_by_XRay
Enhancing Model Performance: Further refining accuracy using additional datasets and fine-tuning.
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