Inspiration
World wide Brain Tumor cases are increasing and it is s severe case which takes lives of 8 out of 10 people. So we decided to build a brain tumor detection
What it does
It basically Use the MRI images as input and identify if brain tumor or not and then Classify the type of brain tumor.
How I built it
I have built it using Flask, google Collab and kaggle for running and training the model. I have learned side by side and completed the project.
Challenges I ran into
I was building a full fledged AI project for first time so it was difficult for me but I learned side by side and completed the project.
Accomplishments that I'm proud of
I am proud that I completed the project. I took some help from.my college professor to, but this project needs development my project cannot be used as in actual real life cases but yes this has made a significant initial phase completion.
What I learned
I learned How AI works fundamentally, new tools and techniques of traning model etc with hosting projects and all.
What's next for Brain Tumor Detection Using
RESNET50 it need several improvement and updates. This is just the beginning and can be developed such that can be used for real life scenarios.
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