An AI-powered web platform for automated classification of skin lesions from dermatoscopic images.
A Swin Transformer captures both local and global image features through shifted-window attention to distinguish melanoma, melanocytic nevus and basal cell carcinoma. Drag-and-drop upload handles resizing, normalization and format validation automatically, with a Flask backend returning real-time predictions and confidence scores backed by SQLite history.
Melanoma is highly survivable when caught early and frequently missed when it is not. Dermatoscopic assessment requires specialist training that primary care rarely has access to.
Use a vision transformer rather than a plain CNN so both fine local texture and overall lesion shape inform the decision, and deliver it through an upload interface a non-specialist can operate.
Swin Transformer Architecture
Vision transformer model capturing local and global image features via shifted-window attention.
Multi-Class Lesion Classification
Distinguishes melanoma, melanocytic nevus, and basal cell carcinoma.
Drag-and-Drop Image Upload
Automated preprocessing including resizing, normalization, and format validation.
Real-Time Prediction with Confidence Score
Flask backend with SQLite-based prediction history.
Deep Learning
Image processing
Application
Image upload
A dermatoscopic image is dragged into the interface.
Preprocessing
Resizing, normalisation and format validation run automatically.
Classification
The Swin Transformer predicts the lesion class.
Result & history
Prediction and confidence are shown and logged.
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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