gayathri1462/Breast-Cancer-Detection-Web-App
SVM (Support Vector Machines) is used to build and train a model using human cell records, and classify cells to predict whether the samples are benign or malignant and display output using Flask Application On Heroku
Trains on the Wisconsin Breast Cancer dataset with 30 diagnostic features (cell measurements like clump thickness and uniformity) to distinguish benign from malignant tumors. The workflow serializes the trained SVM model to pickle format, then integrates it with Flask endpoints that accept cell attribute inputs via HTML forms and return real-time predictions. Deployment to Heroku enables remote access without local infrastructure.
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Mar 24, 2021
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