A deep learning-based diagnostic tool for detecting brain tumours from MRI scans with explainable predictions.
A convolutional model classifies brain tumours from MRI images, SHAP and LIME expose which image regions and features drove each decision, and generative AI writes a diagnostic summary a clinician can actually read.
A black-box tumour classifier is clinically useless — no radiologist will act on a prediction they cannot interrogate. Accuracy alone does not earn trust in a diagnostic setting.
Pair high-accuracy classification with SHAP and LIME explainability and an AI-generated summary, so every prediction arrives with its reasoning attached.
Deep Learning-Based Detection
Classifies brain tumours from MRI images.
SHAP & LIME Explainability
Interprets model predictions for clinical trust.
Gen-AI Insights
AI-generated diagnostic summaries.
Deep Learning
Explainability
Gen-AI
Application
Scan upload
An MRI image is uploaded and normalised.
Prediction
The CNN classifies tumour type or absence.
Explanation
SHAP and LIME highlight the deciding regions.
Summary generation
Generative AI produces a readable diagnostic summary.
Every project is quoted individually, because the price depends on the modules you need, your technology stack, your college's format and your deadline. Send us the project name on WhatsApp and we'll share a quote the same day.
Yes. Share your guide's requirements, preferred technology stack and abstract format, and we adapt the modules, dataset or UI accordingly.
That is the point of the explanation session. We walk you through the architecture, every module, the flow of data and the results, and hand over a viva question bank with answers.
We help you with setup end to end — dependencies, environment, database and configuration — over chat or a call until it runs on your machine.
Yes. Post-delivery support is included, so you can come back for fixes, doubts or demo help even after the project is delivered.
Get complete source code, documentation, PPT, explanation, and support.
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