https://github.com/projects-developer/spam-detection-project
This project aims to design and develop a robust spam detection system that can accurately classify incoming messages or emails as spam or legitimate. Spam Detection Project Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials
https://github.com/projects-developer/spam-detection-project
ai artificialintelligence btechprojects computer-science-projects computerscienceproject computerscienceprojects cybersecurity emailsecurity finalyearproject finalyearprojects machinelearning mtechprojects naturallanguageprocessing spamdetection textclassification
Last synced: 4 months ago
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This project aims to design and develop a robust spam detection system that can accurately classify incoming messages or emails as spam or legitimate. Spam Detection Project Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials
- Host: GitHub
- URL: https://github.com/projects-developer/spam-detection-project
- Owner: Projects-Developer
- Created: 2024-12-28T09:02:12.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2025-01-18T11:49:09.000Z (5 months ago)
- Last Synced: 2025-01-18T12:31:04.200Z (5 months ago)
- Topics: ai, artificialintelligence, btechprojects, computer-science-projects, computerscienceproject, computerscienceprojects, cybersecurity, emailsecurity, finalyearproject, finalyearprojects, machinelearning, mtechprojects, naturallanguageprocessing, spamdetection, textclassification
- Homepage: https://www.finalproject.in/
- Size: 3.91 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 1
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Metadata Files:
- Readme: README.md
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README
# Spam Detection Project
Spam Detection Project Code, Document And Video Tutorial
## Youtube link: https://youtu.be/UYmEsBvaKH8?si=4TOm5d07pwLmk_Im
## Abstract
This project presents a machine learning-based spam detection system designed to classify incoming messages or emails as spam or legitimate. The system utilizes natural language processing techniques and feature extraction to analyze message content and identify patterns indicative of spam. The proposed system achieves high accuracy and efficiency in detecting spam messages, providing a robust solution for email security and improving user experience.Keywords:Spam detection, machine learning, natural language processing, feature extraction, email security, text classification, supervised learning, cybersecurity, artificial intelligence
### Project include:
1. Synopsis
2. PPT
3. Research Paper
4. Code
5. Explanation video
6. Documents
7. Report
### Need Code, Documents & Explanation video ?
## How to Reach me :
### Mail : [email protected]
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