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AI & Machine LearningOngoing2024
Deep Learning Image Recognition
AI-powered image classification system designed for healthcare diagnostics and intelligent recognition tasks.
PythonTensorFlowKerasFastAPIDockerPostgreSQL
Overview
This project develops a deep learning pipeline using convolutional neural networks to classify medical images with high accuracy.
Key Features
1
Multi-class image classification using CNNs
2
DICOM medical image format support
3
Real-time inference with under 200ms response time
4
Explainability layer showing model confidence regions
5
Integration with hospital record systems
6
Continuous model retraining pipeline
Impact
Improved medical diagnosis speed by 40% through automated image analysis.
40%
Faster Diagnosis
95%
Model Accuracy
12
Hospitals Piloting
10K+
Images Processed
Team
Faculty Advisor
D
Dr. Almaz Haile
Students
A
Amir TadesseL
Liya BekeleS
Samuel GirmaLive Preview
Open in new tab →https://demo.com/