kingabzpro/Redis-ml-project
Model serving with FastAPI and Redis caching to enable fast and efficient inference by reducing latency for repeated predictions.
This project helps identify phishing emails in your inbox by taking email text as input and classifying it as either a "Phishing Email" or "Safe Email", along with a confidence score. It's designed for operations engineers or security professionals who need to quickly and efficiently serve an email classification model to protect users from malicious content.
No commits in the last 6 months.
Use this if you need a fast, reliable system to classify incoming emails for potential phishing attempts, especially when dealing with high volumes of repeated queries.
Not ideal if you need to integrate a custom machine learning model without using TF-IDF and Logistic Regression, or if you prefer a different caching mechanism.
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Language
Python
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Last pushed
Mar 29, 2025
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