Brain Tumor Detection

The project uses teachable machine to generate tflite model to classify the 4 categories related to brain tumor :

1. glioma_tumor
2. meningioma_tumor
3. pituitary_tumor
4. no_tumor

Flutter is used for the client-side interface. Dependencies used :

1. Camera
2. tflite

📝 Note:

• The model is train on Teachable Machine which is not recommended professionally.
• Various factors such as camera quality, image noise, training parameters and much more decide the accuracy of the machine.
• Also packages such as tflite have not been updated since 2 years as of 22/06/23. Hence it is not a good practice to use it.

Acknowledgements

• Brain Tumor Dataset by Sartaj Bhuvaji
• Teachable Machine

Run Locally

Clone the project

  git clone https://github.com/lomash-relia/brain-tumor-detection.git

Run pub get from .yaml file or use

  flutter pub get

Make sure your device is connected for debugging and now you can run it

if you encounter any issues, check
C:\Users\{user}\AppData\Local\Pub\Cache\hosted\pub.dev\tflite-1.1.2\android
and open build.gradle file.
In the end of the file you will find dependencies 
where you should change "compile" to "implementation".
Save it and your project should run fine.