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# Demo link avalilable at the end. # Project Title: Email Spam Filtering with Raspberry Pi Overview: This project aims to filter email spam using a machine learning model deployed on a Raspberry Pi. The model is trained to classify emails as either spam or not spam using a dataset of labeled emails. # Prerequisites: - Python 3.x installed on your Raspberry Pi - Required Python packages installed (e.g., scikit-learn, pandas, numpy) - Trained spam filtering model serialized as a pickle file # Installation 1: git clone https://github.com/yourusername/spam-filtering-raspberrypi.git 2: cd spam-filtering-raspberrypi 3: Copy the pickle file containing the trained model into the project directory. ## Demo Insert gif or link to demo https://drive.google.com/drive/folders/130ICXAJWE_vlb7y6cZUAKba6mgShAZfD?usp=sharing ## Badges Add badges from somewhere like: [shields.io](https://shields.io/) [![MIT License](https://img.shields.io/badge/License-MIT-green.svg)](https://choosealicense.com/licenses/mit/) [![GPLv3 License](https://img.shields.io/badge/License-GPL%20v3-yellow.svg)](https://opensource.org/licenses/) [![AGPL License](https://img.shields.io/badge/license-AGPL-blue.svg)](http://www.gnu.org/licenses/agpl-3.0) # ML_email_spam

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