A hybrid quantum-classical diagnostic system for interpretable, real-time blood cell image classification.
A CNN extracts classical spatial features which are then passed through a variational quantum circuit for quantum-enhanced representation learning. Grad-CAM highlights the image regions driving each prediction, an LLM writes human-readable reasoning, and the whole pipeline is deployed on Streamlit for real-time use.
Blood cell classification is high-volume, repetitive microscopy work where fatigue drives error. Purely classical models plateau on subtle morphological distinctions, and none of them explain themselves.
Augment classical feature extraction with a variational quantum circuit for richer representation, then layer visual and textual explainability on top so a technician can verify every call.
CNN + Variational Quantum Circuit
Combines classical spatial feature extraction with quantum-enhanced representation learning.
Grad-CAM Visual Explainability
Highlights image regions driving each prediction.
LLM-Based Textual Explanations
Generates human-readable reasoning and confidence insights.
Streamlit Web Deployment
Real-time image upload, prediction, and explanation interface.
Quantum ML
Deep Learning
Explainability
Application
Image upload
A blood smear image is submitted and preprocessed.
Classical features
The CNN extracts spatial feature maps.
Quantum encoding
Features pass through a variational quantum circuit.
Classification
The hybrid model predicts the cell type.
Explanation
Grad-CAM and an LLM justify the prediction.
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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