About CaffMed

CaffMed is a web application that uses machine learning to detect brain tumors from MRI images with high precision and reliability.

Our Journey

The Beginning

It all started as a casual attempt to learn machine learning. I began searching for interesting and challenging datasets to try out. Eventually, I came across a dataset about brain tumors, which seemed like a great fit for a small project.

The Journey

This dataset presented an opportunity to develop a machine learning model that could predict or classify the available data. From there, I began experimenting with various techniques and algorithms to see how well machine learning could work with this dataset.

The Result

What started as a simple trial-and-error process gradually turned into an enjoyable learning experience, sparking many ideas for further exploration in technology and data science.

Model Performance

While the model achieves great accuracy, there are rare cases of misprediction on certain images, likely due to the random nature or differing contexts of the data. Despite this, the overall performance remains impressive and reliable for medical assistance purposes.

Technology Stack

  • Next.js
  • TensorFlow
  • Python
  • TypeScript

Model Architecture

  • CNN
  • Deep Learning
  • Image Classification
  • Transfer Learning

Performance Metrics

  • 95.8% Accuracy
  • Fast Processing
  • Reliable Results
  • Real-time

Experience the power of AI-driven medical detection