READY-TO-COPY PYTHON PROJECT
Build your AI medical image detection system with complete student-friendly code.
This interactive project page contains every required file: Flask API, CNN model definition, OpenCV preprocessing, dummy bounding-box highlighting, severity logic, requirements, README, testing commands, and Visual Studio Code setup instructions.
7+
Project items
224×224
Image resize
3
Prediction classes
/predict
Flask endpoint
Detection Flow
Simple end-to-end pipeline
🧠
1
Upload X-ray, MRI, or CT image
2
Resize to 224×224 and normalize
3
Predict Tumor, Fracture, or Normal
4
Highlight a demo region with bounding box
5
Return label, confidence, severity, and advice
Included safeguards
Missing file checks
Invalid extension handling
Corrupted image errors
Fallback if model is missing
PROJECT STRUCTURE
AI_Medical_System/ │ ├── model.py ├── predict.py ├── utils.py ├── app.py ├── requirements.txt ├── sample_images/ └── README.md
WHAT THIS PROJECT DELIVERS
📤
Image Upload
Receives medical images through a Flask API endpoint using form-data.
🖼️
Preprocessing
Uses OpenCV to resize images to 224×224 and normalize values.
🧠
Classification
Supports Tumor, Fracture, and Normal class outputs with TensorFlow/Keras.
📦
Localization
Highlights abnormal areas with beginner-friendly dummy bounding box logic.
📊
Prediction Output
Returns confidence score, severity level, and health advice message.
🧪
Testing Ready
Includes Postman, curl, README steps, and VS Code execution guidance.